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DYNAMIC NETWORK MODELS AND GRAPHON ESTIMATION

The Annals of statistics, 2019-08, Vol.47 (4), p.2378-2403

Pensky, Marianna

2019

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Seconder of the vote of thanks to Rohe & Zeng and contribution to the Discussion of ‘Vintage Factor Analysis with Varimax Performs Statistical Inference’

Journal of the Royal Statistical Society. Series B, Statistical methodology, 2023-09, Vol.85 (4), p.1062-1066

Pensky, Marianna

2023

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Discussion of "Confidence Intervals for Nonparametric Empirical Bayes Analysis"

Journal of the American Statistical Association, 2022-09, Vol.117 (539), p.1183-1185

Pensky, Marianna

2022

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MINIMAX THEORY OF ESTIMATION OF LINEAR FUNCTIONALS OF THE DECONVOLUTION DENSITY WITH OR WITHOUT SPARSITY

The Annals of statistics, 2017-08, Vol.45 (4), p.1516-1541

Pensky, Marianna

2017

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A facile nanoparticle immunoassay for cancer biomarker discovery

Journal of nanobiotechnology, 2011-05, Vol.9 (1), p.20-20

2011

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Classification with many classes: Challenges and pluses

Journal of multivariate analysis, 2019-11, Vol.174, p.104536, Article 104536

2019

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Spectral clustering in the dynamic stochastic block model

Electronic journal of statistics, 2019-01, Vol.13 (1)

2019

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Sparse subspace clustering in diverse multiplex network model

Journal of multivariate analysis, 2024-09, Vol.203, p.105333, Article 105333

2024

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SOLUTION OF LINEAR ILL-POSED PROBLEMS USING OVERCOMPLETE DICTIONARIES

The Annals of statistics, 2016-08, Vol.44 (4), p.1739-1764

Pensky, Marianna

2016

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

IEEE transactions on information theory, 2020-11, Vol.66 (11), p.7180-7195

2020

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BATS: a Bayesian user-friendly software for analyzing time series microarray experiments

BMC bioinformatics, 2008-10, Vol.9 (1), p.415-415, Article 415

2008

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Clustering of Diverse Multiplex Networks

IEEE transactions on network science and engineering, 2024-07, Vol.11 (4), p.3441-3454

2024

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SPATIALLY INHOMOGENEOUS LINEAR INVERSE PROBLEMS WITH POSSIBLE SINGULARITIES

The Annals of statistics, 2013-10, Vol.41 (5), p.2668-2697

Pensky, Marianna

2013

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Estimation and clustering in popularity adjusted block model

Journal of the Royal Statistical Society. Series B, Statistical methodology, 2021-04, Vol.83 (2), p.293-317

2021

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The Hierarchy of Block Models

Sankhya. Series. A, 2022-06, Vol.84 (1), p.64-107

2022

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SPARSE HIGH-DIMENSIONAL VARYING COEFFICIENT MODEL: NONASYMPTOTIC MINIMAX STUDY

The Annals of statistics, 2015-06, Vol.43 (3), p.1273-1299

2015

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Anisotropic functional Laplace deconvolution

Journal of statistical planning and inference, 2019-03, Vol.199, p.271-285

2019

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Sparse high-dimensional varying coefficient model: non-asymptotic minimax study

The Annals of statistics, 2015, Vol.3, p.1273-1299

2015

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Sparse One-Grab Sampling with Probabilistic Guarantees

IEEE transactions on pattern analysis and machine intelligence, 2019-12, Vol.41 (12), p.3057-3070

2019

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Functional Deconvolution in a Periodic Setting: Uniform Case

The Annals of statistics, 2009-02, Vol.37 (1), p.73-104

2009

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Solution of Linear Ill-Posed Problems Using Random Dictionaries

Sankhyā. Series B (2008), 2018-05, Vol.80 (1), p.178-193

2018

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ON CONVERGENCE RATES EQUIVALENCY AND SAMPLING STRATEGIES IN FUNCTIONAL DECONVOLUTION MODELS

The Annals of statistics, 2010-06, Vol.38 (3), p.1793-1844

2010

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Adaptive nonparametric empirical Bayes estimation via wavelet series: The minimax study

Journal of statistical planning and inference, 2013-10, Vol.143 (10), p.1672-1688

2013

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

Journal of the Royal Statistical Society. Series B, Statistical methodology, 2017-01, Vol.79 (1), p.69-94

2017

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Frequentist Optimality of Bayesian Wavelet Shrinkage Rules for Gaussian and Non-Gaussian Noise

The Annals of statistics, 2006-04, Vol.34 (2), p.769-807

Pensky, Marianna

2006

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DYNAMIC NETWORK MODELS AND GRAPHON ESTIMATION

Seconder of the vote of thanks to Rohe & Zeng and contribution to the Discussion of ‘Vintage Factor Analysis with Varimax Performs Statistical Inference’

Discussion of "Confidence Intervals for Nonparametric Empirical Bayes Analysis"

MINIMAX THEORY OF ESTIMATION OF LINEAR FUNCTIONALS OF THE DECONVOLUTION DENSITY WITH OR WITHOUT SPARSITY

A facile nanoparticle immunoassay for cancer biomarker discovery

Classification with many classes: Challenges and pluses

Spectral clustering in the dynamic stochastic block model

Sparse subspace clustering in diverse multiplex network model

SOLUTION OF LINEAR ILL-POSED PROBLEMS USING OVERCOMPLETE DICTIONARIES

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

BATS: a Bayesian user-friendly software for analyzing time series microarray experiments

Clustering of Diverse Multiplex Networks

SPATIALLY INHOMOGENEOUS LINEAR INVERSE PROBLEMS WITH POSSIBLE SINGULARITIES

Estimation and clustering in popularity adjusted block model

The Hierarchy of Block Models

SPARSE HIGH-DIMENSIONAL VARYING COEFFICIENT MODEL: NONASYMPTOTIC MINIMAX STUDY

Anisotropic functional Laplace deconvolution

Sparse high-dimensional varying coefficient model: non-asymptotic minimax study

Sparse One-Grab Sampling with Probabilistic Guarantees

Functional Deconvolution in a Periodic Setting: Uniform Case

Solution of Linear Ill-Posed Problems Using Random Dictionaries

ON CONVERGENCE RATES EQUIVALENCY AND SAMPLING STRATEGIES IN FUNCTIONAL DECONVOLUTION MODELS

Adaptive nonparametric empirical Bayes estimation via wavelet series: The minimax study

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

Frequentist Optimality of Bayesian Wavelet Shrinkage Rules for Gaussian and Non-Gaussian Noise

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