Marianna Pensky

发表

SWIFT: Sparse Withdrawal of Inliers in a First Trial

Hassan Foroosh, Maryam Jaberi, Marianna Pensky, 2015, 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).

Bayesian Models for the Multi-sample Time-Course Microarray Experiments

Marianna Pensky, Claudia Angelini, Daniela De Canditiis, 2011, CIBB.

Is Clustering Advantageous in Statistical Ill-Posed Linear Inverse Problems?

Marianna Pensky, Rasika Rajapakshage, M. Pensky, 2020, IEEE Transactions on Information Theory.

Confidence Intervals for Reliability and Quantile Functions With Application to NASA Space Flight Data

Marianna Pensky, A. Heard, M. Pensky, 2006, IEEE Transactions on Reliability.

Application of Transformations in Parametric Inference

Marianna Pensky, Naomi Brownstein, M. Pensky, 2008 .

Probabilistic Sparse Subspace Clustering Using Delayed Association

Hassan Foroosh, Maryam Jaberi, Marianna Pensky, 2018, 2018 24th International Conference on Pattern Recognition (ICPR).

Parametric Statistical Inference

Samuel Kotz, Marianna Pensky, Yan Lumelskii, 2003 .

Multivariate classification of animal communication signals: A simulation-based comparison of alternative signal processing procedures using electric fishes

Marianna Pensky, Justin K Davis, William G. R. Crampton, 2008, Journal of Physiology-Paris.

Sparse One-Time Grab Sampling of Inliers pdf

Hassan Foroosh, Maryam Jaberi, Marianna Pensky, 2019, ArXiv.

Adaptive Nonparametric Empirical Bayes Estimation Via Wavelet Series: the Minimax Study

Marianna Pensky, Rida Benhaddou, M. Pensky, 2012, 1205.0990.

Paper Session I-C - Reliability and Safety Prediction Methods For Mission and Spaceport Operations

Marianna Pensky, Astrid E. Heard, M. Pensky, 2003 .

Bayesian models for two-sample time-course microarray experiments

Marianna Pensky, Claudia Angelini, Daniela De Canditiis, 2009, Comput. Stat. Data Anal..

Applications and Examples

Samuel Kotz, Marianna Pensky, Yan Lumelskii, 2003 .

Empirical Bayes Estimation of Reliability

Marianna Pensky, M. Pensky, 2008 .

The Theory and Some Useful Approaches

Samuel Kotz, Marianna Pensky, Yan Lumelskii, 2003 .

Sparse One-Grab Sampling with Probabilistic Guarantees

Hassan Foroosh, Maryam Jaberi, Marianna Pensky, 2019, IEEE Transactions on Pattern Analysis and Machine Intelligence.

De-noising procedures for frame operators

Patrick J. Wolfe, Marianna Pensky, Daniela De Canditiis, 2013, 1301.3949.

Statistical Inference in Heterogeneous Block Model pdf

Marianna Pensky, Majid Noroozi, M. Pensky, 2020, ArXiv.

Solution of linear ill-posed problems using random dictionaries

Marianna Pensky, Pawan Gupta, 2016 .

BATS: a Bayesian user-friendly software for Analyzing Time Series microarray experiments

Marianna Pensky, Claudia Angelini, Daniela De Canditiis, 2008, BMC Bioinformatics.

Classification with many classes: Challenges and pluses

Felix Abramovich, Marianna Pensky, F. Abramovich, 2015, J. Multivar. Anal..

Model Selection for Classification with a Large Number of Classes

Marianna Pensky, Justin K. Davis, 2014 .

Sparse Convolutional Neural Networks

Hassan Foroosh, Marianna Pensky, Min Wang, 2015, 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).

Wavelet kernel penalized estimation for non-equispaced design regression

Anestis Antoniadis, Marianna Pensky, Umberto Amato, 2006, Stat. Comput..

Marianna Pensky, Majid Noroozi, Ramchandra Rimal, 2019, ArXiv.

Denoising strategies for general finite frames

Patrick J. Wolfe, Marianna Pensky, Daniela De Canditiis, 2018, Math. Comput. Simul..

Statistical Applications in Genetics and Molecular Biology A Bayesian Approach to Estimation and Testing in Time-course Microarray Experiments

Marianna Pensky, Claudia Angelini, Daniela De Canditiis, 2011 .

Multiscale Methods and Statistics: A Productive Marriage

Patrick J. Wolfe, Marianna Pensky, Thomas C. M. Lee, 2009 .

Bayesian Methods for Time Course Microarray Analysis: From Genes’ Detection to Clustering

Marianna Pensky, Claudia Angelini, Daniela De Canditiis, 2012 .

Estimation and clustering in popularity adjusted block model

Marianna Pensky, Ramchandra Rimal, Majid Noroozi, 2021, Journal of the Royal Statistical Society: Series B (Statistical Methodology).

Clustering of Diverse Multiplex Networks

Marianna Pensky, Yaxuan Wang, 2021 .

The Hierarchy of Block Models

Marianna Pensky, Majid Noroozi, M. Pensky, 2020, Sankhya A.

ALMA: Alternating Minimization Algorithm for Clustering Mixture Multilayer Network pdf

Marianna Pensky, Feng Yu, Xing Fan, 2021, J. Mach. Learn. Res..

The stress-strength model and its generalizations

Samuel Kotz, Marianna Pensky, Yan Lumelskii, 2013 .

Spectral clustering in the dynamic stochastic block model

Marianna Pensky, M. Pensky, Teng Zhang, 2017, Electronic Journal of Statistics.

On optimality of Bayesian testimation in the normal means problem

Felix Abramovich, Marianna Pensky, Vadim Grinshtein, 2007, 0712.0904.

Functional deconvolution in a periodic setting: Uniform case

Theofanis Sapatinas, Marianna Pensky, T. Sapatinas, 2007 .

Dicussion on the meeting on ‘Statistical approaches to inverse problems’

Simon J. Godsill, Dan Cornford, Eric Moulines, 2004 .

Dynamic network models and graphon estimation

Marianna Pensky, M. Pensky, 2016, The Annals of Statistics.

Minimax theory of estimation of linear functionals of the deconvolution density with or without sparsity

Marianna Pensky, M. Pensky, 2014, 1411.1660.

EMPIRICAL BAYES ESTIMATION BASED ON WAVELETS

Marianna Pensky, 1998 .

ESTIMATION OF A SMOOTH DENSITY FUNCTION USING MEYER-TYPE WAVELETS

Marianna Pensky, M. Pensky, 1999 .

Bayesian Decision Theoretic Scale-Adaptive Estimation of a Log-Spectral Density

Brani Vidakovic, Marianna Pensky, B. Vidakovic, 2003 .

Frequentist optimality of Bayesian wavelet shrinkage rules for Gaussian and non-Gaussian noise

Marianna Pensky, M. Pensky, 2006, math/0607018.

Sparse high-dimensional varying coefficient model: Nonasymptotic minimax study

Marianna Pensky, Olga Klopp, 2013 .

FREQUENTIST OPTIMALITY OF BAYES FACTOR ESTIMATORS IN WAVELET REGRESSION MODELS

Theofanis Sapatinas, Marianna Pensky, T. Sapatinas, 2007 .

On Non-Equally Spaced Wavelet Regression

Brani Vidakovic, Marianna Pensky, B. Vidakovic, 2001 .

Laplace deconvolution on the basis of time domain data and its application to dynamic contrast‐enhanced imaging

Marianna Pensky, Yves Rozenholc, Fabienne Comte, 2014, 1405.7107.

Multichannel Deconvolution with Long-Range Dependence: A Minimax Study

Theofanis Sapatinas, Marianna Pensky, Rafal Kulik, 2013, 1305.0274.