P. Bickel

发表

Efficient and Adaptive Estimation for Semiparametric Models.

K. Do, P. Bickel, C. Klaassen, 1994 .

Mathematical Statistics: Basic Ideas and Selected Topics

P. Bickel, K. Doksum, Peter J. Bickel, 1977 .

Some Asymptotic Theory for the Bootstrap

D. Freedman, P. Bickel, 1981 .

Efficient and Adaptive Estimation for Semiparametric Models

P. Bickel, 1993 .

SIMULTANEOUS ANALYSIS OF LASSO AND DANTZIG SELECTOR

P. Bickel, Y. Ritov, A. Tsybakov, 2008, 0801.1095.

RESAMPLING FEWER THAN n OBSERVATIONS: GAINS, LOSSES, AND REMEDIES FOR LOSSES

F. Götze, P. Bickel, W. V. Zwet, 2012 .

Meta-learners for Estimating Heterogeneous Treatment Effects using Machine Learning

Sören R. Künzel, P. Bickel, Bin Yu, 2017 .

Metalearners for estimating heterogeneous treatment effects using machine learning

Sören R. Künzel, P. Bickel, Bin Yu, 2017, Proceedings of the National Academy of Sciences.

Some theory for Fisher''s linear discriminant function

P. Bickel, E. Levina, 2004 .

Some contributions to the asymptotic theory of Bayes solutions

P. Bickel, J. Yahav, 1969 .

A Distribution Free Version of the Smirnov Two Sample Test in the $p$-Variate Case

P. Bickel, 1969 .

Achieving Information Bounds in Non and Semiparametric Models

P. Bickel, Y. Ritov, 1990 .

Covariance regularization by thresholding

P. Bickel, E. Levina, 2009, 0901.3079.

Regularized estimation of large covariance matrices

P. Bickel, E. Levina, 2008, 0803.1909.

Curse-of-dimensionality revisited : Collapse of importance sampling in very large scale systems

P. Bickel, Bo Li, T. Bengtsson, 2005 .

Sums of Functions of Nearest Neighbor Distances, Moment Bounds, Limit Theorems and a Goodness of Fit Test

P. Bickel, L. Breiman, 1983 .

Regularization in statistics

S. Geer, P. Bickel, A. Tsybakov, 2006 .

Robust Estimates of Location

D. F. Andrews, P. Bickel, W. Rogers, 1972 .

Extrapolation and the bootstrap

P. Bickel, A. Sakov, 2002 .

Richardson Extrapolation and the Bootstrap

P. Bickel, J. Yahav, 1988 .

ON THE CHOICE OF m IN THE m OUT OF n BOOTSTRAP AND CONFIDENCE BOUNDS FOR EXTREMA

P. Bickel, A. Sakov, 2008 .

An Analysis of Transformations Revisited

P. Bickel, K. Doksum, 1981 .

Approximating the inverse of banded matrices by banded matrices with applications to probability and statistics

P. Bickel, M. Lindner, 2010, 1002.4545.

Sparse permutation invariant covariance estimation

Adam J. Rothman, P. Bickel, E. Levina, 2008, 0801.4837.

MINIMAX ESTIMATION OF THE MEAN OF A NORMAL DISTRIBUTION SUBJECT TO DOING WELL AT A POINT

P. Bickel, 1983 .

Optimal M-estimation in high-dimensional regression

P. Bickel, Bin Yu, Derek Bean, 2013, Proceedings of the National Academy of Sciences.

On robust regression with high-dimensional predictors

P. Bickel, Bin Yu, Derek Bean, 2013, Proceedings of the National Academy of Sciences.

Sharp failure rates for the bootstrap particle filter in high dimensions

P. Bickel, Bo Li, T. Bengtsson, 2008, 0805.3287.

Curse-of-dimensionality revisited: Collapse of the particle filter in very large scale systems

P. Bickel, Bo Li, T. Bengtsson, 2008, 0805.3034.

On Some Robust Estimates of Location

P. Bickel, 1965 .

Local polynomial regression on unknown manifolds

P. Bickel, B. Li, Bo Li, 2007, 0708.0983.

Sex Bias in Graduate Admissions: Data from Berkeley

P. Bickel, E. Hammel, J. O'connell, 1975, Science.

Consistent independent component analysis and prewhitening

P. Bickel, Aiyou Chen, 2005, IEEE Transactions on Signal Processing.

Identification and analysis of functional elements in 1% of the human genome by the ENCODE pilot project

William Stafford Noble, Nancy R. Zhang, Stephen C. J. Parker, 2007, Nature.

On Adaptive Estimation

P. Bickel, 1982 .

Regression on manifolds: Estimation of the exterior derivative

P. Bickel, C. Tomlin, A. Aswani, 2011, 1103.1457.

An overview of recent developments in genomics and associated statistical methods

James B. Brown, P. Bickel, Haiyan Huang, 2009, Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences.

System wide analyses have underestimated protein abundances and the importance of transcription in mammals

P. Bickel, M. Biggin, J. Li, 2012, PeerJ.

Analyses of deep mammalian sequence alignments and constraint predictions for 1% of the human genome.

Colin N. Dewey, Richard A. Moore, James B. Brown, 2007, Genome research.

Sure independence screening for ultrahigh dimensional feature space Discussion

Jeffrey S. Morris, Gareth M. James, Hao Helen Zhang, 2008 .

One-Step Huber Estimates in the Linear Model

P. Bickel, 1975 .

Robust Estimates of Location: Survey and Advances.

D. F. Andrews, P. Bickel, W. Rogers, 1975 .

Robustness of Design Against Autocorrelation in Time I: Asymptotic Theory, Optimality for Location and Linear Regression

P. Bickel, A. Herzberg, 1979 .

ChIP-seq guidelines and practices of the ENCODE and modENCODE consortia

Marc D. Perry, James B. Brown, Timothy E. Reddy, 2012, Genome research.

An Integrated Encyclopedia of DNA Elements in the Human Genome

Raymond K. Auerbach, William Stafford Noble, Stephen C. J. Parker, 2012, Nature.

Obstacles to High-Dimensional Particle Filtering

P. Bickel, T. Bengtsson, Jeffrey L. Anderson, 2008 .

Efficient blind search: Optimal power of detection under computational cost constraints

P. Bickel, N. Meinshausen, J. Rice, 2007, 0712.1663.

Maximum Likelihood Estimation of Intrinsic Dimension

Peter J. Bickel, Elizaveta Levina, P. Bickel, 2004, NIPS.

Developmental roles of 21 Drosophila transcription factors are determined by quantitative differences in binding to an overlapping set of thousands of genomic regions

James B. Brown, D. W. Knowles, P. Bickel, 2009, Genome Biology.

Texture synthesis and nonparametric resampling of random fields

P. Bickel, E. Levina, 2006, math/0611258.

Minimax Estimation of the Mean of a Normal Distribution when the Parameter Space is Restricted

P. Bickel, 1981 .

Parametric Robustness: Small Biases can be Worthwhile

P. Bickel, 1984 .

Goodness-of-fit tests for regression using kernel methods

Thomas M. Stoker, P. Bickel, Yacine Aït-Sahalia, 1994 .

Tests for Monotone Failure Rate Based on Normalized Spacings

P. Bickel, K. Doksum, 1969 .

Descriptive Statistics for Nonparametric Models. III. Dispersion

P. Bickel, E. Lehmann, 1976 .

DESCRIPTIVE STATISTICS FOR NONPARAMETRIC MODELS IV. SPREAD

P. Bickel, E. Lehmann, 1979 .

Efficient independent component analysis

P. Bickel, Aiyou Chen, 2006, 0705.4230.

Asymptotically pointwise optimal procedures in sequential analysis

P. Bickel, J. Yahav, 1967 .

The semiparametric Bernstein-von Mises theorem

P. Bickel, B. Kleijn, 2010, 1007.0179.

Measuring reproducibility of high-throughput experiments

Peter J. Bickel, Haiyan Huang, James B. Brown, 2011, 1110.4705.

Measuring Traffic

Pravin Varaiya, Peter J. Bickel, Chao Chen, 2008, 0804.2982.

Large Vector Auto Regressions

P. Bickel, Song Song, 2011, 1106.3915.

Fitting community models to large sparse networks pdf

Peter J. Bickel, Elizaveta Levina, Aiyou Chen, 2012, ArXiv.

Likelihood-based model selection for stochastic block models

P. Bickel, Y. X. R. Wang, 2015, 1502.02069.

On Some Global Measures of the Deviations of Density Function Estimates

P. Bickel, M. Rosenblatt, 1973 .

Discussion: The Dantzig selector: Statistical estimation when p is much larger than n

P. Bickel, 2007, 0803.3124.

Exploiting regulatory heterogeneity to systematically identify enhancers with high accuracy

William W. Fisher, Mark D. Biggin, James B. Brown, 2018, bioRxiv.

DNA regions bound at low occupancy by transcription factors do not drive patterned reporter gene expression in Drosophila

James B. Brown, P. Bickel, J. Stamatoyannopoulos, 2012, Proceedings of the National Academy of Sciences.

Sparsity and the Possibility of Inference

P. Bickel, Donghui Yan, 2008 .

Hypothesis testing for automated community detection in networks pdf

Purnamrita Sarkar, Peter J. Bickel, P. Bickel, 2013, ArXiv.

Subsampling methods for genomic inference

Nancy R. Zhang, James B. Brown, P. Bickel, 2010, 1101.0947.

A User's Guide to the Encyclopedia of DNA Elements (ENCODE)

Raymond K. Auerbach, William Stafford Noble, Stephen C. J. Parker, 2011, PLoS biology.

Banded regularization of autocovariance matrices in application to parameter estimation and forecasting of time series

P. Bickel, Y. Gel, 2011 .

Classification of human genomic regions based on experimentally determined binding sites of more than 100 transcription-related factors

Kevin Y. Yip, James B. Brown, P. Bickel, 2012, Genome Biology.

Long noncoding RNAs are rarely translated in two human cell lines

James B. Brown, Morgan C. Giddings, P. Bickel, 2012, Genome research.

Large sample theory of estimation in biased sampling regression

Peter J. Bickel, Ya'acov Ritov, P. Bickel, 1991 .

Goodness-of-fit tests for kernel regression with an application to option implied volatilities

Thomas M. Stoker, P. Bickel, Yacine Aït-Sahalia, 2001 .

Asymptotics for high dimensional regression M-estimates: fixed design results

Noureddine El Karoui, P. Bickel, Lihua Lei, 2016, 1612.06358.

Comparison of D. melanogaster and C. elegans developmental stages, tissues, and cells by modENCODE RNA-seq data

Steven E Brenner, Haiyan Huang, Peter J Bickel, 2014, Genome research.

Comparative Analysis of the Transcriptome across Distant Species

Peter J. Bickel, Raymond K. Auerbach, Peter J. Park, 2014, Nature.

Navigating and mining modENCODE data.

Nathan Boley, Kenneth H Wan, Susan E Celniker, 2014, Methods.

Systematic evaluation of factors influencing ChIP-seq fidelity

P. Bickel, B. Wold, R. Myers, 2012, Nature Methods.

The Developmental Transcriptome of Drosophila melanogaster

Peter J. Bickel, Li Yang, Thomas R. Gingeras, 2010, Nature.

Sparse linear modeling of next-generation mRNA sequencing (RNA-Seq) data for isoform discovery and abundance estimation

James B. Brown, P. Bickel, Haiyan Huang, 2011, Proceedings of the National Academy of Sciences.

Diversity and dynamics of the Drosophila

P. Bickel, N. Perrimon, E. Frise, 2014 .

Diversity and dynamics of the Drosophila transcriptome

James B. Brown, Benjamin W. Booth, Marcus H. Stoiber, 2014, Nature.

Regularization in statistics

S. Geer, P. Bickel, A. Tsybakov, 2006 .

Using Residuals Robustly I: Tests for Heteroscedasticity, Nonlinearity

P. Bickel, P. J. Bickel, 1975 .

Matrix Estimation Meets Statistical Network Analysis: Extracting low-dimensional structures in high dimension

P. Bickel, 2019 .

Asymptotic distribution of the likelihood ratio statistic in a prototypical non regular problem

P. Bickel, 1993 .

Role of normalization in spectral clustering for stochastic blockmodels

P. Bickel, Purnamrita Sarkar, 2013, 1310.1495.

A model for sequential evolution of ligands by exponential enrichment (SELEX) data

P. Bickel, M. Eisen, M. Biggin, 2012, 1205.1819.

Ensemble Filtering for High Dimensional Non-linear State Space Models

P. Bickel, Jing Lei, 2009 .

Subsampling bootstrap of count features of networks

P. Bickel, Sharmodeep Bhattacharyya, 2013, 1312.2645.

Penalized robust regression in high-dimension

Noureddine El Karoui, P. Bickel, Derek Bean, 2011 .

On the Choice of m in the m Out of n Bootstrap and its Application to Condence Bounds for Extreme Percentiles y

P. Bickel, A. Sakov, 2005 .

The bootstrap in hypothesis testing

P. Bickel, Jian-Jian Ren, 2001 .

An Edgeworth expansion for the m out of n bootstrapped median

P. Bickel, A. Sakov, 2000 .

Confidence Bands for a Distribution Function Using the Bootstrap

P. Bickel, A. Krieger, 1989 .

Asymptotic Normality and the Bootstrap in Stratified Sampling

D. Freedman, P. Bickel, 1984 .

Some contributions to the theory of order statistics

P. Bickel, 1967 .

Discussion: Consistent Nonparametric Regression

H. D. Brunk, H. Chernoff, G. Wahba, 1977 .

Comparative validation of the D. melanogaster modENCODE transcriptome annotation

James B. Brown, P. Bickel, Manolis Kellis, 2014, Genome research.

Efficient estimation of linear functionals of a probability measure P with known marginal distributions

P. Bickel, Y. Ritov, J. Wellner, 1991 .

An Overview of Recent Developments in Genomics and the Statistical Methods that Bear on Them

James B. Brown, P. Bickel, Haiyan Huang, 2009 .

Qunhua Li and associated statistical methods An overview of recent developments in genomics

James B. Brown, P. Bickel, Haiyan Huang, 2009 .

Lawrence Berkeley National Laboratory Lawrence Berkeley National Laboratory Title Detecting DNA regulatory motifs by incorporating positional trends in information content Permalink

P. Bickel, M. Eisen, E. Zwet, 2004 .

Detecting DNA regulatory motifs by incorporating positional trends in information content

P. Bickel, M. Eisen, E. V. van Zwet, 2004, Genome Biology.

What is a linear process?

P Bühlmann, P. Bickel, P. Bühlmann, 1996, Proceedings of the National Academy of Sciences of the United States of America.

Genome-wide analysis of promoter architecture in Drosophila melanogaster.

Piero Carninci, Timo Lassmann, Justen Andrews, 2011, Genome research.

Uniform Convergence of Probability Measures on Classes of Functions

P. Bickel, P. J. Bickel, P. J. Bickel, 2008 .

A DISCRETE LOG DENSITY EXPANSION BASED APPROACH TO IKONOS IMAGE CLASSIFICATION

Peter J. Bickel, Peng Gong, Donghui Yan, 2006 .

Robustness of Design against Autocorrelation in Time II: Optimally, Theoretical and Numerical Results for the First-Order Autoregressive Process

Peter J. Bickel, Agnes M. Herzberg, P. Bickel, 1981 .

Finding important sites in protein sequences

Peter J Bickel, P. Bickel, K. Kechris, 2002, Proceedings of the National Academy of Sciences of the United States of America.

On Some Analogues to Linear Combinations of Order Statistics in the Linear Model

P. Bickel, P. J. Bickel, 1973 .

Convergence Criteria for Multiparameter Stochastic Processes and Some Applications

Peter J. Bickel, P. Bickel, M. J. Wichura, 1971 .

An assumption-free exact test for fixed-design linear models with exchangeable errors

P. Bickel, Lihua Lei, 2019, Biometrika.

On Convergence of Recursive Monte Carlo Filters in Non-Compact State Spaces

P. Bickel, Jing Lei, 2012 .

Hidden Markov model likelihoods and their derivatives behave like i.i.d. ones

Peter J. Bickel, Tobias Rydén, Ya'acov Ritov, 2002 .

Inference in hidden Markov models I: Local asymptotic normality in the stationary case

Peter J. Bickel, Ya'acov Ritov, P. Bickel, 1996 .

Response to Mease and Wyner, Evidence Contrary to the Statistical View of Boosting, JMLR 9:131-156, 2008: And Yet It Overfits

P. Bickel, Y. Ritov, 2008 .

Asymptotic normality of the maximum-likelihood estimator for general hidden Markov models

P. Bickel, Y. Ritov, T. Rydén, 1998 .

Statistics before and after my COPSS Prize

P. Bickel, 2014 .

MEASURING REPRODUCIBILITY OF HIGH-THROUGHPUT

Peter J. Bickel, James B. Brown, Haiyan Huang, 2010 .

GeneFishing to reconstruct context specific portraits of biological processes

P. Bickel, Haiyan Huang, A. Dosé, 2019, Proceedings of the National Academy of Sciences.

EFFICIENT INDEPENDENT COMPONENT ANALYSIS ( II )

P. Bickel, Aiyou Chen, 2022 .

Tailor-made tests for goodness of fit to semiparametric hypotheses

Thomas M. Stoker, P. Bickel, Y. Ritov, 2006, math/0607014.

The Analysis of Transformed Data: Comment

P. Bickel, 1984 .

Comments on: Assessing probabilistic forecasts of multivariate quantities, with an application to ensemble predictions of surface winds

P. Bickel, 2008 .

NETWORK MODELLING OF TOPOLOGICAL DOMAINS USING HIC DATA By

Y. X. Rachel Wang, P. Bickel, A. Kundaje, 2018 .

SUBSTITUTION IN CONDITIONAL EXPECTATION

R. R. Bahadur, P. Bickel, P. J. Bickel, 1968 .

On estimating the total probability of the unobserved outcomes of an experiment

Peter J. Bickel, J. A. Yahav, P. Bickel, 1986 .

Regularization in statistics: Discussion

S. Geer, P. Bickel, A. Tsybakov, 2006 .

Identifiability and consistency of network inference using the hub model and variants: a restricted class of Bernoulli mixture models

P. Bickel, Yunpeng Zhao, Charles Weko, 2020, 2004.09709.

Nonparametric variable selection and modeling for spatial and temporal regulatory networks.

P. Bickel, C. Tomlin, A. Aswani, 2012, Methods in cell biology.

Asymptotic expansions for the power of distributionfree tests in the one-sample problem : (prepublication)

W. R. vanZwet, P. Bickel, W. Albers, 1974 .

NONPARAMETRIC INFERENCE UNDER BIASED SAMPLING FROM A FINITE POPULATION

P. Bickel, V. Nair, Paul C. C. Wang, 1992 .

On a Theorem of Hoeffding

P. Bickel, W. V. Zwet, 1979 .

Lawrence Berkeley National Laboratory Recent Work Title Extensive cross-regulation of post-transcriptional regulatory networks in Drosophila Permalink

James B. Brown, Marcus H. Stoiber, P. Bickel, 2015 .

Singly and Doubly Censored Current Status Data: Estimation, Asymptotics and Regression

N. Jewell, P. Bickel, M. J. van der Laan, 1997 .

Robust Estimates of Location: Survey and Advances.

D. F. Andrews, P. Bickel, W. Rogers, 1975 .

Discussions of boosting papers, and rejoinders

Trevor Hastie, Peter J. Bickel, Robert Tibshirani, 2004 .

Hidden Markov and State Space Models Asymptotic Analysis of Exact and Approximate Methods for Prediction, Filtering, Smoothing and Statistical Inference

P. Bickel, Y. Ritov, Tobias Ryd'en, 2002, math/0212410.

Edgeworth Expansions and Smoothness

P. Bickel, J. Robinson, 1982 .

Measuring Trafﬁc

P. Bickel, P. Varaiya, Jaimyoung Kwon, 2008 .

Correction to the proof of consistency of community detection

P. Bickel, Aiyou Chen, E. Levina, 2015 .

Ridge Regression and Regularization of Large Matrices

Can M. Le, P. Bickel, Keith Levin, 2020 .

Semiparametric Estimation of Treatment Effects in Randomized Experiments

Peter J. Bickel, Susan Athey, Aiyou Chen, 2021, SSRN Electronic Journal.

INFERENCE IN SEMIPARAMETRIC MODELS

Peter J. Bickel, Kjell A. Doksum, P. Bickel, 2015 .

Information Bounds and Nonparametric Maximum Likelihood Estimation (Piet Groeneboom and Jon A. Wellner)

Peter J. Bickel, P. Bickel, 1994, SIAM Rev..

NONPARAMETRIC INFERENCE FOR FUNCTIONS OF ONE VARIABLE

Peter J. Bickel, Kjell A. Doksum, P. Bickel, 2015 .

INFERENCE FOR SEMIPARAMETRIC MODELS: SOME QUESTIONS AND AN ANSWER

Peter J. Bickel, Jaimyoung Kwon, P. Bickel, 2001 .

Discussion of Sara van de Geer: Generic chaining and the L1 penalty

Peter J. Bickel, P. Bickel, Mu Cai, 2013 .

A Festschrift for Erich L. Lehmann in honor of his sixty-fifth birthday

Peter J. Bickel, Kjell A. Doksum, J. L. Hodges, 1983 .

Mathematical Statistics : Basic Ideas and Selected Topics, Volumes I-II Package

Peter J. Bickel, Kjell A. Doksum, Peter J. Bickel, 2015 .

Asymptotically Optimal Bayes and Minimax Procedures in Sequential Estimation

Peter J. Bickel, Joseph A. Yahav, P. Bickel, 1968 .

Sparse Canonical Correlation Analysis via Concave Minimization pdf

Peter J. Bickel, James B. Brown, James B. Brown, 2019, ArXiv.

Mathematical Statistics: Basic Ideas and Selected Topics, Volume II

Peter J. Bickel, Kjell A. Doksum, Peter J. Bickel, 2015 .

Renewal Theory in the Plane

Peter J. Bickel, Joseph A. Yahav, P. Bickel, 1965 .

The number of visits of vector walks to bounded regions

P. Bickel, J. Yahav, 1965 .

Binomial Mixture Model With U-shape Constraint

Peter J. Bickel, Yuting Ye, P. Bickel, 2021, 2107.13756.

STATISTICAL MODELS, GOALS, AND PERFORMANCE CRITERIA

Peter J. Bickel, Kjell A. Doksum, P. Bickel, 2015 .

Inferring gene-gene interactions and functional modules using sparse canonical correlation analysis

Peter J. Bickel, Y. X. Rachel Wang, Haiyan Huang, 2014, 1401.6504.

On maximizing item information and matching difficulty with ability

Peter J. Bickel, Hua-Hua Chang, Zhiliang Ying, 2001 .

On Estimating the Number of Unseen Species and System Reliability

Peter J. Bickel, Joseph A. Yahav, P. Bickel, 1988 .

On Some Asymptotically Nonparametric Competitors of Hotelling's $T^{2 1}$

Peter J. Bickel, P. Bickel, 1965 .

On Some Alternative Estimates for Shift in the $P$-Variate One Sample Problem

Peter J. Bickel, P. Bickel, 1964 .

Measures of independence and functional dependence

P. Bickel, 2022, 2206.13663.

Genome-guided transcript assembly from integrative analysis of RNA sequence data

James B. Brown, Benjamin W. Booth, Marcus H. Stoiber, 2014, Nature Biotechnology.

ESTIMATION WHEN p IS MUCH LARGER THAN n 1

P. Bickel, 2008 .

Comments on: Nonparametric inference with generalized likelihood ratio tests

P. Bickel, 2007 .

A nonparametric view of network models and Newman–Girvan and other modularities

P. Bickel, Aiyou Chen, 2009, Proceedings of the National Academy of Sciences.

On Efficiency of First and Second Order

P. Bickel, D. M. Chibisov, W. V. Zwet, 1981 .

The Edgeworth Expansion for $U$-Statistics of Degree Two

F. Götze, P. Bickel, W. V. Zwet, 1986 .

Edgeworth Expansions in Nonparametric Statistics

P. Bickel, P. J. Bickel, 1974 .

Asymptotic Normality of Maximum Likelihood and its Variational Approximation for Stochastic Blockmodels pdf

Xiangyu Chang, David Choi, Hai Zhang, 2012, ArXiv.

A New Methodology for Evaluating Incident Detection Algorithms

Peter J. Bickel, Karl Petty, Michael Ostland, 2000 .

An Optimality Property of Bayes’ Test Statistics

R. R. Bahadur, P. Bickel, 2009 .

Tests for Monotone Failure Rate II

P. Bickel, P. J. Bickel, 1969 .

Latent Variable Modeling and Applications to Causality

P. Diggle, P. Bickel, S. Fienberg, 2017 .

Descriptive Statistics for Nonparametric Models II. Location

E. L. Lehmann, P. Bickel, E. Lehmann, 1975 .

Projection pursuit in high dimensions

Peter J. Bickel, Boaz Nadler, Gil Kur, 2018, Proceedings of the National Academy of Sciences.

ADAPTIVE ESTIMATION IN ELLIPTICAL DISTRIBUTIONS WITH EXTENSIONS TO HIGH DIMENSIONS

Peter J. Bickel, Sharmodeep Bhattacharyya, P. Bickel, 2013 .

Optimal objective function in high-dimensional regression

Noureddine El Karoui, Bin Yu, Derek Bean, 2012 .

Robustness of Prewhitening Against Heavy-Tailed Sources

Peter J. Bickel, Aiyou Chen, P. Bickel, 2004, ICA.

Hierarchical community detection by recursive bi-partitioning

Purnamrita Sarkar, Peter J. Bickel, Tianxi Li, 2018 .

Community Detection in Networks using Graph Distance pdf

Peter J. Bickel, Sharmodeep Bhattacharyya, P. Bickel, 2014, ArXiv.

Pseudo-likelihood methods for community detection in large sparse networks

Peter J. Bickel, Elizaveta Levina, Aiyou Chen, 2012, 1207.2340.

Two provably consistent divide-and-conquer clustering algorithms for large networks

Purnamrita Sarkar, Peter J. Bickel, Soumendu Sundar Mukherjee, 2017, Proceedings of the National Academy of Sciences.

NETWORK MODELLING OF TOPOLOGICAL DOMAINS USING HI-C DATA.

Purnamrita Sarkar, Peter J. Bickel, Anshul Kundaje, 2017, The annals of applied statistics.

Discovery of widespread transcription initiation at microsatellites predictable by sequence-based deep neural network

Martin S. Taylor, Jay W. Shin, Thomas J. Ha, 2021, Nature Communications.

System Wide Analyses have Underestimated Protein Abundances and Transcriptional Importance in Animals

P. Bickel, M. Biggin, J. Li, 2012 .

Comparative analysis of regulatory information and circuits across distant species

Peter J. Bickel, Mark Gerstein, Philip Cayting, 2014, Nature.

The Earth Mover's distance is the Mallows distance: some insights from statistics

Peter J. Bickel, Elizaveta Levina, P. Bickel, 2001, Proceedings Eighth IEEE International Conference on Computer Vision. ICCV 2001.

Non Parametric Methods for Genomic Inference

Peter J. Bickel, Nancy R. Zhang, James B. Brown, 2007 .

Generalized Pearson correlation squares for capturing mixtures of bivariate linear dependences

Jingyi Jessica Li, P. Bickel, Xin Tong, 2018 .

Generalized $R^2$ Measures for a Mixture of Bivariate Linear Dependences

Jingyi Jessica Li, P. Bickel, Xin Tong, 2018, 1811.09965.

Extensive cross-regulation of post-transcriptional regulatory networks in Drosophila

James B. Brown, Michael O Duff, Brenton R Graveley, 2015, Genome research.

Hierarchical selection of variables in sparse high-dimensional regression

Peter J. Bickel, Ya'acov Ritov, P. Bickel, 2008, 0801.1158.

SIMULTANEOUS ANALYSIS OF LASSO AND DANTZIG

Peter J. Bickel, Alexandre Tsybakov, Ya’acov Ritov, 2007 .

Exploiting regulatory heterogeneity to systematically identify enhancers with high accuracy

Sumanta Basu, James B. Brown, Richard Weiszmann, 2018, Proceedings of the National Academy of Sciences.

S: An Interactive Environment for Data Analysis and Graphics

Peter J. Bickel, Richard M. Dudley, John M. Chambers, 1984 .

modENCODE consortia ChIP-seq guidelines and practices of the ENCODE and Material Supplemental

James B. Brown, Timothy E. Reddy, P. Bickel, 2012 .

Quantitative exploration of the occurrence of lateral gene transfer by using nitrogen fixation genes as a case study.

Peter J Bickel, P. Bickel, K. Kechris, 2006, Proceedings of the National Academy of Sciences of the United States of America.

Learning from learning machines: a new generation of AI technology to meet the needs of science pdf

Peter J. Bickel, Kristofer E. Bouchard, Prabhat, 2021, ArXiv.

Day-to-Day Travel-Time Trends and Travel-Time Prediction from Loop-Detector Data

Peter J. Bickel, Jaimyoung Kwon, Benjamin Coifman, 2000 .

On Detecting Periodicity in Astronomical Point Processes

P. Bickel, J. Rice, B. Kleijn, 2007 .

The method of moments and degree distributions for network models

P. Bickel, Aiyou Chen, E. Levina, 2011, 1202.5101.

Covariability of V3 loop amino acids.

R A Olshen, P. Bickel, R. Olshen, 1996, AIDS research and human retroviruses.

Efficient Estimation Using Both Direct and Indirect Observations

Peter J. Bickel, Ya'acov Ritov, P. Bickel, 1994 .

Ibragimov — Hasminskii Models

P. Bickel, Y. Ritov, 1994 .

The Bayesian analysis of complex, high-dimensional models: Can it be CODA?

B. J. K. Kleijn, P. Bickel, Y. Ritov, 2012, 1203.5471.

An Overview of “SCMA II”

P. J. Bickel, P. Bickel, 1997 .

ACHIEVING INFORMATION BOUNDS IN NON AND

P. Bickel, Y. Ritov, 2016 .

SOME PROBLEMS ON THE ESTIMATION OF UNIMODAL DENSITIES

Peter J. Bickel, Jianqing Fan, P. Bickel, 1996 .

SEMIPARAMETRIC INFERENCE AND MODELS

P. Bickel, C. Klaassen, Y. Ritov, 2005 .

Testing and the Method of Sieves

P. Bickel, Y. Ritov, Peter J Stoker, 1998 .

Variable selection in nonparametric regression with categorical covariates

Peter J. Bickel, Ping Zhang, P. Bickel, 1992 .

Some Theory for Generalized Boosting Algorithms

P. Bickel, Y. Ritov, Alon Zakai, 2006, J. Mach. Learn. Res..

Statistical Methods for Jointly Estimating the Decay Constant of 40K and the Age of a Dating Standard

P. Bickel, Jaimyoung Kwon, P. Renne, 2002 .

Statistics for sparse, high-dimensional, and nonparametric system identification

Claire J. Tomlin, Anil Aswani, Peter Bickel, 2009, 2009 IEEE International Conference on Robotics and Automation.

Frequentist Interpretation of Probability

P. Bickel, E. Lehmann, 2012 .

An Exponential Inequality for U-Statistics with Applications to Testing

P. Bickel, Y. Ritov, 1995, Probability in the Engineering and Informational Sciences.

A Decomposition for the Likelihood Ratio Statistic and the Bartlett Correction--A Bayesian Argument

Peter J. Bickel, Jayanta K. Ghosh, P. Bickel, 1990 .

On the Wiener process approximation to Bayesian sequential testing problems

Peter J. Bickel, J. A. Yahav, P. Bickel, 1972 .

Working Paper Alfred P. Sloan School of Management Consistent Estimation of Scaled Coefficients Consistent Estimation of Scaled Coefficients

Thomas M. Stoker, P. Bickel, J. Rotemberg, 2022 .

THE LIMIT DISTRIBUTION OF A TEST STATISTIC FOR BIVARIATE NORMALITY

P. Bickel, Namhyun Kim, 2000 .

A Moment Matching Ensemble Filter for Nonlinear Non-Gaussian Data Assimilation

Peter J. Bickel, Jing Lei, P. Bickel, 2011 .

Mathematical Statistics: Basic Ideas and Selected Topics, Volume I, Second Edition

Kjell A. Doksum, Peter J. Bickel, P. Bickel, 2015 .

Correlations with tailored extremal properties

P. Bickel, Sky Cao, 2020, 2008.10177.

Regularized estimation of mixture of elliptic distributions in high dimensional setting and its applications

P. Bickel, Sharmodeep Bhattacharyya, 2012 .

Nonparametric estimators which can be "plugged-in"

P. Bickel, Y. Ritov, 2003 .

NONPARAMETRIC TESTING OF AN INDEX MODEL

Thomas M. Stoker, P. Bickel, 2001 .

Non- and semiparametric statistics: compared and contrasted

P. Bickel, Y. Ritov, 2000 .

Local Asymptotic Normality of Ranks and Covariates in Transformation Models

P. Bickel, Y. Ritov, P. J. Bickel, 1997 .

Inference and Auditing: The Stringer Bound

Peter J. Bickel, P. Bickel, 1992 .

Estimating the probability density of the scattering cross section from Rayleigh scattering experiments

P. Bickel, N. Hengartner, L. Talbot, 1995 .

A new mixing notion and functional central limit theorems for a sieve bootstrap in time series

Peter J. Bickel, Peter Bühlmann, P. Bickel, 1999 .

Closure of Linear Processes

P. Bickel, P. Bühlmann, 1997 .

Inferring gene-gene interactions and functional modules using sparse canonical correlation analysis

Peter J. Bickel, Haiyan Huang, Keni Jiang, 2014, 1401.6504.

Estimating linear functionals of a PET image

Peter J. Bickel, Yaacov Ritov, P. Bickel, 1995, IEEE Trans. Medical Imaging.

DISCUSSION OF: BROWNIAN DISTANCE COVARIANCE

Peter J. Bickel, P. Bickel, Ying Xu, 2009, 0912.3295.

The Asymptotic Theory of Galton's Test and a Related Simple Estimate of Location

J. L. Hodges, P. Bickel, P. J. Bickel, 1967 .

Frontiers in statistics: Dedicated to Peter John Bickel in honor of his 65th birthday

Peter J. Bickel, Jianqing Fan, H. L. Koul, 2006 .

Descriptive Statistics for Nonparametric Models I. Introduction

Erich L. Lehmann, P. Bickel, E. Lehmann, 1975 .

Efficient Estimation in the Errors in Variables Model

P. Bickel, Y. Ritov, 1987 .

Nonparametric identification of regulatory interactions from spatial and temporal gene expression data

James Brown, Claire J. Tomlin, Charless C. Fowlkes, 2010, BMC Bioinformatics.

Empirical Bayes estimation in functional and structural models, and uniformly adaptive estimation of location

P. Bickel, C. Klaassen, 1986 .

Robust Regression Based on Infinitesimal Neighbourhoods

P. Bickel, P. J. Bickel, 1984 .

The Bayesian analysis of complex, high-dimensional models: Can it be CODA?

P. Bickel, Y. Ritov, A. Gamst, 2012, 1203.5471.

Comparison of Ensemble Kalman Filters under Non-Gaussianity

Peter J. Bickel, Chris Snyder, Jing Lei, 2010 .

Empirical Comparison of Travel Time Estimation Methods

Xiaoyan Zhang, Peter J. Bickel, John A. Rice, 1999 .

Event-Weighted Tests for Detecting Periodicity in Photon Arrival Times

John Rice, Peter Bickel, P. Bickel, 2007, 0706.4108.

Statistical Applications in Genetics and Molecular Biology Estimating Motifs Under Order Restrictions

Erik W van Zwet, Peter J Bickel, P. Bickel, 2011 .

Interpretable sensitivity analysis for balancing weights

Peter J. Bickel, Avi Feller, Samuel D. Pimentel, 2021, Journal of the Royal Statistical Society Series A: Statistics in Society.

Network Inference Using the Hub Model and Variants

P. Bickel, Yunpeng Zhao, Zhibing He, 2023, Journal of the American Statistical Association.

The Consistency of Common Neighbors for Link Prediction in Stochastic Blockmodels

Purnamrita Sarkar, Peter J. Bickel, Deepayan Chakrabarti, 2015, NIPS.

Asymptotic Expansions for the Power of Distributionfree Tests in the Two-Sample Problem

W. R. van Zwet, P. Bickel, P. J. Bickel, 1976 .

MINIMIZING FISHER INFORMATION OVER MIXTURES OF DISTRIBUTIONS

P. Bickel, J. Collins, 2016 .

All Russian mathematical portal

P. Bickel, M. Lindner, 2019 .

Approximating the inverse of banded matrices by banded matrices with applications to probability and statistics@@@Approximating the inverse of banded matrices by banded matrices with applications to probability and statistics

P. Bickel, M. Lindner, Питер Дж Бикел, 2011 .

Splice sites are overrepresented in Pasilla binding motif clusters in D. melanogaster genes

P. Bickel, A. Favorov, V. Tumanyan, 2011, Biofizika.

A NOTE ON BAYES ESTIMATES

Peter J. Bickel, David Blackwell, D. Blackwell, 1967 .

ST ] 2 4 A ug 2 02 0 CORRELATIONS WITH TAILORED EXTREMAL PROPERTIES

P. Bickel, Sky Cao, 2020 .

DE-FPCA: Testing Gene Differential Expression and Exon Usage Through Functional Principal Component Analysis

Peter J. Bickel, Hao Xiong, James B. Brown, 2014 .

Spectral Clustering and Block Models: A Review And A New Algorithm pdf

Peter J. Bickel, Sharmodeep Bhattacharyya, P. Bickel, 2015, ArXiv.

The m out of n Bootstrap and Goodness of Fit Tests with Double Censored Data

Peter J. Bickel, Jian-Jian Ren, P. Bickel, 1996 .

Sparse linear modeling of next-generation mRNA sequencing (RNA-Seq) data for isoform discovery and abundance estimation

James B. Brown, P. Bickel, Haiyan Huang, 2011, Proceedings of the National Academy of Sciences.

Discussion of three resampling papers

Peter J. Bickel, P. Bickel, 2012 .

Chapter 19 Discussion of three resampling papers

Peter J. Bickel, P. Bickel, 2012 .

Sparse permutation invariant covariance estimation

Adam J. Rothman, P. Bickel, E. Levina, 2008, 0801.4837.

An Approximate Likelihood Approach to Nonlinear Mixed Effects Models Via Spline Approximation

Peter J. Bickel, John A. Rice, Zhiyu Ge, 2003, Comput. Stat. Data Anal..

Traffic Flow on a Freeway Network

Pravin Varaiya, Chao Chen, Jaimyoung Kwon, 2003 .

A Moment Matching Particle Filter for Nonlinear Non-Gaussian Data Assimilation

Peter Bickel, Jing Lei, P. Bickel, 2010 .

Semiparametric Estimation of Treatment Effects in Randomized Experiments

G. Imbens, P. Bickel, Aiyou Chen, 2021, SSRN Electronic Journal.

A Hàjek-Rényi extension of Lévy's inequality and some applications

P. Bickel, 1970 .

Theoretical Comparison of Bootstrap t Confidence Bounds

P. Bickel, 2008 .

Workshop on Statistical Approaches for the Evaluation of Complex Computer Models

Sallie Keller-McNulty, Richard A. Berk, Elizabeth J. Kelly, 2002 .

Two-Dimensional Random Fields

P. Bickel, M. Rosenblatt, 1973 .

What Academia Needs

Peter J. Bickel, P. Bickel, 1995 .

Discussion of "The evaluation of forensic DNA evidence".

P. Bickel, P J Bickel, 1997, Proceedings of the National Academy of Sciences of the United States of America.

A Note on Unbiased Bayes Estimates

Peter J. Bickel, Colin L. Mallows, P. Bickel, 1988 .

A REMARK ON THE KOLMOGOROV-PETROVSKII CRITERION'

P. Bickel, 1969 .

Discussio n of Bickel and Rosenblatt's work on Global Measures of Deviations for Density Estimates

P. Bickel, 2011 .

ON SELECTING A SET OF GOOD POPULATIONS

P. Bickel, J. Yahav, 1977 .

Hierarchical Community Detection by Recursive Partitioning

P. Bickel, Purnamrita Sarkar, E. Levina, 2018, Journal of the American Statistical Association.

Accurate estimation of travel times from single-loop detectors 1 1 Funding for this research was pro

John Rice, Michael Ostland, Jiming Jiang, 1998 .

BOOTSTRAPPING REGRESSION MODELS WITH MANY PARAMETERS

P. Bickel, D. Freedman, 2008 .

On a semiparametric survival model with flexible covariate effect

Peter J. Bickel, Jens Perch Nielsen, Oliver Linton, 1998 .

Note: Correction to "Asymptotic Expansions for the Power of Distributionfree Tests in the One-Sample Problem"

W. R. van Zwet, P. Bickel, P. J. Bickel, 1978 .

Discussion of: TreeletsAn adaptive multi-scale basis for sparse unordered data

Peter J. Bickel, Ya'acov Ritov, P. Bickel, 2008, 0807.4016.

Interpretable sensitivity analysis for balancing weights

Samuel D. Pimentel, P. Bickel, A. Feller, 2021, Journal of the Royal Statistical Society Series A: Statistics in Society.