A. Buja

发表

Analysis of Additive Dependencies and Concurvities Using Smallest Additive Principal Components

D. J. Donnell, A. Buja, W. Stuetzle, 1994 .

Flexible Discriminant Analysis by Optimal Scoring

R. Tibshirani, T. Hastie, A. Buja, 1994 .

Penalized Discriminant Analysis

R. Tibshirani, T. Hastie, A. Buja, 1995 .

Loss Functions for Binary Class Probability Estimation and Classification: Structure and Applications

A. Buja, W. Stuetzle, Yi Shen, 2005 .

XGobi: Interactive Dynamic Data Visualization in the X Window System

Andreas Buja, Deborah F. Swayne, Dianne Cook, 1998 .

Missing Data in Interactive High-Dimensional Data Visualization

Deborah F. Swayne, A. Buja, 1998 .

Projection Pursuit Indexes Based on Orthonormal Function Expansions

A. Buja, D. Cook, Javier Cabrera, 1993 .

Remarks on Functional Canonical Variates, Alternating Least Squares Methods and Ace

A. Buja, 1990 .

OBSERVATIONS ON BAGGING

A. Buja, W. Stuetzle, 2006 .

Valid post-selection inference

A. Buja, L. Brown, R. Berk, 2013, 1306.1059.

Covariance Adjustments for the Analysis of Randomized Field Experiments

A. Buja, L. Brown, E. George, 2013, Evaluation review.

Improved Precision in Estimating Average Treatment Effects

A. Buja, E. George, R. Berk, 2013, 1311.0291.

XGvis: Interactive Data Visualization with Multidimensional Scaling

Michael L. Littman, Nathaniel Dean, Andreas Buja, 1998 .

Inequalities and Positive-Definite Functions Arising from a Problem in Multidimensional Scaling

A. Buja, B. Logan, L. Shepp, 1994 .

Flexible discriminant and mixture models

Trevor Hastie, Robert Tibshirani, Andreas Buja, 2000 .

Data Visualization With Multidimensional Scaling

Deborah F. Swayne, M. Littman, A. Buja, 2008 .

Interactive High-Dimensional Data Visualization

Andreas Buja, Dianne Cook, A. Buja, 1996 .

Prosection Views: Dimensional Inference through Sections and Projections

A. Buja, G. Furnas, 1994 .

Local Multidimensional Scaling for Nonlinear Dimension Reduction, Graph Drawing, and Proximity Analysis

A. Buja, Lisha Chen, 2009 .

Graphical inference for infovis

Heike Hofmann, Andreas Buja, Dianne Cook, 2010, IEEE Transactions on Visualization and Computer Graphics.

Statistical inference for exploratory data analysis and model diagnostics

Deborah F. Swayne, A. Buja, Eun-Kyung Lee, 2009, Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences.

Tukey's Paper After 40 Years, With Discussion

A. Buja, B. Efron, P. J. Huber, 2006 .

Visualizing the embedding of objects in Euclidean space

Michael L. Littman, Nathaniel Dean, Andreas Buja, 1992 .

Grand tour and projection pursuit

Andreas Buja, Catherine B. Hurley, Dianne Cook, 1995 .

Xgobi: Interactive Dynamic Graphics In The X Window System With A Link To S

Andreas Buja, Deborah F. Swayne, David Howard Cook, 1991 .

Analyzing High-Dimensional Data with Motion Graphics

Andreas Buja, Catherine B. Hurley, Catherine Hurley, 1990, SIAM J. Sci. Comput..

GGobi: evolving from XGobi into an extensible framework for interactive data visualization

Duncan Temple Lang, Andreas Buja, Deborah F. Swayne, 2003, Comput. Stat. Data Anal..

Remarks on Parallel Analysis.

A. Buja, N. Eyuboglu, 1992, Multivariate behavioral research.

The Analysis of Two-Way Functional Data Using Two-Way Regularized Singular Value Decompositions

Jianhua Z. Huang, A. Buja, Haipeng Shen, 2009 .

Valid Post-selection Inference in Assumption-lean Linear Regression

Arun K. Kuchibhotla, A. Buja, L. Brown, 2018, 1806.04119.

All of Linear Regression

A. Buja, L. Brown, A. Kuchibhotla, 2019, 1910.06386.

Valid Post-selection Inference Online Appendix

A. Buja, L. Brown, R. Berk, 2013 .

Models as Approximations, Part I: A Conspiracy of Nonlinearity and Random Regressors in Linear Regression

A. Buja, L. Brown, E. George, 2014, 1404.1578.

A Model Free Perspective for Linear Regression: Uniform-in-model Bounds for Post Selection Inference

Arun K. Kuchibhotla, A. Buja, L. Brown, 2018 .

Valid post-selection inference in model-free linear regression

Arun K. Kuchibhotla, A. Buja, L. Brown, 2020 .

Assumption Lean Regression

Weijie J. Su, Arun K. Kuchibhotla, A. Buja, 2018, The American Statistician.

Functional principal components analysis via penalized rank one approximation

Jianhua Z. Huang, A. Buja, Haipeng Shen, 2008, 0807.4862.

Kernel Additive Principal Components

A. Buja, X. Tan, Zongming Ma, 2015, 1511.06821.

Higher Dimensional Representations of Graphs

Deborah F. Swayne, A. Buja, N. Dean, 1995 .

Dosage-dependent phenotypes in models of 16p11.2 lesions found in autism

Andreas Buja, R. Mark Henkelman, Jason P. Lerch, 2011, Proceedings of the National Academy of Sciences.

Theory of Dynamic Projections in High-Dimensional Data Visualization

Catherine B. Hurley, A. Buja, D. Cook, 2004 .

Theory of Bivariate ACE

Andreas Buja, A. Buja, 2007 .

Semi-Supervised Linear Regression

Andreas Buja, Lawrence D. Brown, Linda Zhao, 2016, Journal of the American Statistical Association.

Discussion: “A significance test for the lasso”

A. Buja, L. Brown, 2014, 1405.6803.

Models as Approximations - A Conspiracy of Random Regressors and Model Deviations Against Classical Inference in Regression

Andreas Buja, Richard A. Berk, Edward I. George, 2015 .

Calibration for Simultaneity : ( Re ) Sampling Methods for Simultaneous Inference with Applications to Function Estimation and Functional Data

A. Buja, W. Rolke, ANDREAS BUJA, 2022 .

Degrees of Boosting – A Study of Loss Functions for Classification and Class Probability Estimation

Andreas Buja, Werner Stuetzle, A. Buja, .

Interactive Data Visualization with Multidimensional Scaling

Deborah F. Swayne, M. Littman, A. Buja, 2022 .

Models as Approximations — A Conspiracy of Random Regressors and Model Misspecification Against Classical Inference in Regression

A. Buja, L. Brown, E. George, 2016 .

Controls For High-Dimensional

A. Buja, DataProjectionsDianne Cook, 2007 .

Working with Misspecified Regression Models

A. Buja, L. Brown, E. George, 2018 .

A Motivating Example : The 4-point Ultrametric Locus

A. Buja, G. Furnas, Bellcore, 1994 .

Damaging de novo mutations diminish motor skills in children on the autism spectrum

A. Buja, M. Wigler, C. Lord, 2018, Proceedings of the National Academy of Sciences.

Damaging Mutations are Associated with Diminished Motor Skills and IQ in Children on the Autism Spectrum

A. Buja, M. Wigler, C. Lord, 2017, bioRxiv.

1-2002 Visualization Methodology for Multidimensional Scaling

Deborah F. Swayne, A. Buja, 2017 .

Energy / Stress Functions for Dimension Reduction and Graph Drawing : Power Laws and Their Clustering Properties

A. Buja, Lisha Chen, 2009 .

Statistica Sinica Preprint No : SS-2016-0546 R 1 Title Calibrated Percentile Double Bootstrap For Robust Linear Regression Inference

A. Buja, L. Brown, E. George, 2017 .

Estimating Optimal Transformations for Multiple Regression and Correlation: Comment

Robert E. Kass, Andreas Buja, A. Buja, 1985 .

Introduction to the Special Section on Massive Datasets

A. Buja, S. Keller-McNulty, 1999 .

Discussion: Multivariate Adaptive Regression Splines

Trevor Hastie, Robert Tibshirani, Andreas Buja, 1991 .

Rare De Novo and Transmitted Copy-Number Variation in Autistic Spectrum Disorders

Boris Yamrom, Kenny Q. Ye, Andreas Buja, 2011, Neuron.

UNIFORM-IN-SUBMODEL BOUNDS FOR LINEAR REGRESSION IN A MODEL-FREE FRAMEWORK

Arun K. Kuchibhotla, A. Buja, L. Brown, 2018, Econometric Theory.

Subcategories of Restricted and Repetitive Behaviors in Children with Autism Spectrum Disorders

A. Buja, Vanessa Hus, C. Lord, 2012, Journal of Autism and Developmental Disorders.

Working with Misspecified Regression Models

A. Buja, E. George, R. Berk, 2017, Journal of Quantitative Criminology.

Using recursive partitioning to find and estimate heterogenous treatment effects in randomized clinical trials

A. Buja, R. Berk, Aurelie Ouss, 2020, Journal of Experimental Criminology.

UNIFORM-IN-SUBMODEL BOUNDS FOR LINEAR REGRESSION IN A MODEL-FREE FRAMEWORK

Andreas Buja, Arun Kumar Kuchibhotla, Edward I. George, 2018, Econometric Theory.

Using recursive partitioning to find and estimate heterogenous treatment effects in randomized clinical trials

Andreas Buja, Richard Berk, Matthew Olson, 2018, Journal of Experimental Criminology.

Aldor-Noiman, S., Brown, L.D., Buja, A., Rolke, W., and Stine, R.A. (2013), “The Power to See: A New Graphical Test of Normality,” The American Statistician, 67, 249–260

A. Buja, L. Brown, R. Stine, 2014 .

The Power to See: A New Graphical Test of Normality

Robert A. Stine, Lawrence D. Brown, Sivan Aldor-Noiman, 2013 .

Models as Approximations I: Consequences Illustrated with Linear Regression

Kai Zhang, Andreas Buja, Mikhail Traskin, 2014, Statistical Science.

Comment: Boosting Algorithms: Regularization, Prediction and Model Fitting

David Mease, Andreas Buja, Abraham J. Wyner, 2007, 0804.2757.

RareDeNovoandTransmittedCopy-NumberVariation in Autistic Spectrum Disorders

A. Buja, B. Yamrom, J. Kendall, 2011 .

Rates of contributory de novo mutation in high and low-risk autism families

A. Buja, B. Yamrom, Seungtai Yoon, 2021, Communications biology.

Subcategories of Restricted and Repetitive Behaviors in Children with Autism Spectrum Disorders

Andreas Buja, Andrew Pickles, Catherine Lord, 2013, Journal of autism and developmental disorders.

Will the Global Village Fracture into Tribes: Recommender Systems and Their Effects on Consumers

Dokyun Lee, Andreas Buja, Kartik Hosanagar, 2014 .

Will the Global Village Fracture into Tribes: Recommender Systems and Their Effects on Consumers

A. Buja, Dokyun Lee, K. Hosanagar, 2014, Management Sciences.

Measuring shared variants in cohorts of discordant siblings with applications to autism

Kenny Q. Ye, A. Buja, B. Yamrom, 2017, Proceedings of the National Academy of Sciences.

Boosted Classification Trees and Class Probability/Quantile Estimation

David Mease, Andreas Buja, Abraham J. Wyner, 2007, J. Mach. Learn. Res..

Rejoinder: Linear Smoothers and Additive Models

R. Tibshirani, T. Hastie, A. Buja, 1989 .

Empirical Comparisons of Neural Networks and Statistical Methods for Classification and Regression

Andreas Buja, Arvind Jain, Diane Duffy, 1994 .

Data mining criteria for tree-based regression and classification

Andreas Buja, Yung-Seop Lee, A. Buja, 2001, KDD '01.

Misspecified Mean Function Regression

Andreas Buja, Kai Zhang, Linda Zhao, 2014 .

Rate Optimal Denoising of Simultaneously Sparse and Low Rank Matrices

Dan Yang, Andreas Buja, Zongming Ma, 2014, J. Mach. Learn. Res..

The plumbing of interactive graphics

Heike Hofmann, Andreas Buja, Deborah F. Swayne, 2009, Comput. Stat..

Exploring the Relationship Between Anxiety and Insistence on Sameness in Autism Spectrum Disorders

A. Buja, Vanessa Hus, C. Lord, 2013, Autism research : official journal of the International Society for Autism Research.

Interactive data visualization using focusing and linking

Andreas Buja, John Alan McDonald, Werner Stuetzle, 1991, Proceeding Visualization '91.

Models as Approximations II: A Model-Free Theory of Parametric Regression

Andreas Buja, Linda Zhao, Arun K. Kuchibhotla, 2016, Statistical Science.

Model-free Study of Ordinary Least Squares Linear Regression

Arun K. Kuchibhotla, A. Buja, L. Brown, 2018, 1809.10538.

Dynamics of channel negotiations: Contention and reciprocity

A. Buja, N. Eyuboglu, 1993 .

On the Huber-Strassen theorem

Andreas Buja, A. Buja, 1986 .

Misspecified Mean Function Regression: Making Good Use of Regression Models That Are Wrong

A. Buja, E. George, R. Berk, 2021 .

Simultaneously least favorable experiments

Andreas Buja, A. Buja, 1984 .

Hole or Grain? A Section Pursuit Index for Finding Hidden Structure in Multiple Dimensions

A. Buja, D. Cook, U. Laa, 2020, J. Comput. Graph. Stat..

The Conspiracy of Random Predictors and Model Violations against Classical Inference in Regression

Andreas Buja, Richard A. Berk, Kai Zhang, 2014 .

Tourr: An R package for exploring multivariate data with projections

Heike Hofmann, Andreas Buja, Dianne Cook, 2011 .

Models as Approximations --- Part II: A General Theory of Model-Robust Regression

Arun K. Kuchibhotla, A. Buja, L. Brown, 2016, 1612.03257.

Models as Approximations: How Random Predictors and Model Violations Invalidate Classical Inference in Regression

Andreas Buja, Richard A. Berk, Edward I. George, 2014 .

Models as Approximations — A Conspiracy of Random Predictors and Model Violations Against Classical Inference in Regression

A. Buja, L. Brown, E. George, 2014 .

Manual Controls for High-Dimensional Data Projections

Dianne Cook, Andreas Buja, A. Buja, 1997 .

Exploratory Visual Analysis of Graphs in GGOBI

Andreas Buja, Deborah F. Swayne, A. Buja, 2004 .

Smoothing Effects of Bagging

Andreas Buja, Werner Stuetzle, A. Buja, 2000 .

Quasi-Darwinian Selection in Marketing Relationships.

A. Buja, N. Eyuboglu, 2007 .

Sharing parental genomes by siblings concordant or discordant for autism

Kenny Q. Ye, A. Buja, B. Yamrom, 2023, Cell genomics.

Multiple channel complexity: Conceptualization and measurement

Nermin Eyuboglu, Sertan Kabadayi, Andreas Buja, 2017 .

Grand tour methods: an outline

Andreas Buja, Daniel Asimov, A. Buja, 1986 .

Grand tour via geodesic interpolation of 2-frames

Daniel Asimov, Andreas Buja, A. Buja, 1994, Electronic Imaging.

Grand Tours, Projection Pursuit Guided Tours, and Manual Controls

Dianne Cook, Andreas Buja, Hadley Wickham, 2008 .

Computational Methods for High-Dimensional Rotations in Data Visualization

Andreas Buja, Catherine Hurley, Dianne Cook, 2005 .

Theory and Computational Methods for Dynamic Projections in High-Dimensional Data Visualization

Catherine B. Hurley, Daniel Asimov, Andreas Buja, 1999 .

Viewing high dimensional data by painting multiple views . *

Andreas Buja, Werner Stuetzle, John A. McDonald, 1989 .

Visualization Methodology for Multidimensional Scaling

Andreas Buja, Deborah F. Swayne, A. Buja, 2002, J. Classif..

Painting multiple views of complex objects

Andreas Buja, John Alan McDonald, Werner Stuetzle, 1990, OOPSLA/ECOOP '90.

Simultaneously least favorable experiments

Andreas Buja, A. Buja, 1985 .

Sufficiency, least favorable experiments and robust tests

A. Buja, 1980 .

A Conspiracy of Random X and Model Violation against Classical Inference in Linear Regression

A. Buja, L. Brown, E. George, 2013 .

A Sparse Singular Value Decomposition Method for High-Dimensional Data

Andreas Buja, Zongming Ma, Dan Yang, 2014 .

Recommender systems and their effects on consumers: the fragmentation debate

Andreas Buja, Kartik Hosanagar, Daniel M. Fleder, 2010, EC '10.

Computing and Graphics in Statistics.

Andreas Buja, Chris Chatfield, Paul A. Tukey, 1992 .

Models as Approximations, Part I: A Conspiracy of Nonlinearity and Random Regressors in Linear Regression

A. Buja, M. Traskin, Linda H. Zhao, 2014 .

Models as Approximations: How Random Predictors and Model Violations Invalidate Classical Inference in Regression

A. Buja, L. Brown, E. George, 2014 .

Calibrated Percentile Double Bootstrap For Robust Linear Regression Inference

A. Buja, E. George, Linda H. Zhao, 2015, 1511.00273.

Machine learning to predict overall short-term mortality in cutaneous melanoma

A. Buja, M. Zorzi, A. Vecchiato, 2023, Discover Oncology.

Robust phoneme discrimination using acoustic waveforms

Baltasar Beferull-Lozano, Andreas Buja, Zoran Cvetkovic, 2002, 2002 IEEE International Conference on Acoustics, Speech, and Signal Processing.

Experiments Covariance Adjustments for the Analysis of Randomized Field

A. Buja, L. Brown, E. George, 2014 .

Visual Comparison of Datasets Using Mixture Decompositions

Andreas Buja, A. Buja, Alan Gous, 2004 .

A Tool for Mining Large Correlation Tables : The Association Navigator

A. Buja, A. Krieger, 2013 .

Flexible Discriminant Analysis by Optimal Scoring

R. Tibshirani, T. Hastie, A. Buja, 1994 .

Measuring Online Social Bubbles

Filippo Menczer, Alessandro Flammini, Diego F. M. Oliveira, 2015, 1502.07162.

Recommender Systems and their Effects on Consumers

Andreas Buja, Kartik Hosanagar, Daniel M. Fleder, 2011 .

What Criterion for a Power Algorithm

A. Buja, 1996 .

A Sparse SVD Method for High-dimensional Data

Dan Yang, Andreas Buja, Zongming Ma, 2011, 1112.2433.