Marianna Pensky

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All published works

Action	Title	Year	Authors
+ PDF Chat	Davis-Kahan Theorem in the two-to-infinity norm and its application to perfect clustering	2024	Marianna Pensky
+ PDF Chat	Sparse subspace clustering in diverse multiplex network model	2024	Majid Noroozi Marianna Pensky
+ PDF Chat	Clustering of Diverse Multiplex Networks	2024	Marianna Pensky Yaxuan Wang
+ PDF Chat	Signed Diverse Multiplex Networks: Clustering and Inference	2024	Marianna Pensky
+ PDF Chat	Seconder of the vote of thanks to Rohe & Zeng and contribution to the Discussion of ‘Vintage Factor Analysis with Varimax Performs Statistical Inference’	2023	Marianna Pensky
+	Discussion of “Confidence Intervals for Nonparametric Empirical Bayes Analysis”	2022	Marianna Pensky
+	Sparse Subspace Clustering in Diverse Multiplex Network Model	2022	Majid Noroozi Marianna Pensky
+	ALMA: Alternating Minimization Algorithm for Clustering Mixture Multilayer Network	2021	Xing Fan Marianna Pensky Feng Yu Teng Zhang
+	Clustering of Diverse Multiplex Networks	2021	Marianna Pensky Yaxuan Wang
+	Sparse Popularity Adjusted Stochastic Block Model	2021	Majid Noroozi Marianna Pensky Ramchandra Rimal
+	Is Clustering Advantageous in Statistical Ill-Posed Linear Inverse Problems?	2020	Rasika Rajapakshage Marianna Pensky
+	The Hierarchy of Block Models	2020	Majid Noroozi Marianna Pensky
+	Classification with many classes: Challenges and pluses	2019	Felix Abramovich Marianna Pensky
+ PDF Chat	Density Deconvolution with Small Berkson Errors	2019	Rajiv N. Rimal Marianna Pensky
+ PDF Chat	Dynamic network models and graphon estimation	2019	Marianna Pensky
+	Estimation and Clustering in Popularity Adjusted Stochastic Block Model	2019	Majid Noroozi Ramchandra Rimal Marianna Pensky
+	Sparse One-Time Grab Sampling of Inliers	2019	Maryam Jaberi Marianna Pensky Hassan Foroosh
+	Spectral clustering in the dynamic stochastic block model	2019	Marianna Pensky Teng Zhang
+	Sparse Popularity Adjusted Stochastic Block Model	2019	Majid Noroozi Marianna Pensky Ramchandra Rimal
+	Estimation and Clustering in Popularity Adjusted Stochastic Block Model	2019	Majid Noroozi Ramchandra Rimal Marianna Pensky
+	Density Deconvolution with Small Berkson Errors	2018	Ramchandra Rimal Marianna Pensky
+	Clustering in statistical ill-posed linear inverse problems.	2018	Rasika Rajapakshage Marianna Pensky
+	Probabilistic Sparse Subspace Clustering Using Delayed Association	2018	Maryam Jaberi Marianna Pensky Hassan Foroosh
+ PDF Chat	Probabilistic Sparse Subspace Clustering Using Delayed Association	2018	Maryam Jaberi Marianna Pensky Hassan Foroosh
+ PDF Chat	Anisotropic functional Laplace deconvolution	2018	Rida Benhaddou Marianna Pensky Rasika Rajapakshage
+ PDF Chat	Solution of Linear Ill-Posed Problems Using Random Dictionaries	2018	P. K. GUPTA Marianna Pensky
+	Solution of linear ill-posed problems by model selection and aggregation	2018	Felix Abramovich Daniela De Canditiis Marianna Pensky
+	Density Deconvolution with Small Berkson Errors	2018	Ramchandra Rimal Marianna Pensky
+	Clustering in statistical ill-posed linear inverse problems	2018	Rasika Rajapakshage Marianna Pensky
+	Probabilistic Sparse Subspace Clustering Using Delayed Association	2018	Maryam Jaberi Marianna Pensky Hassan Foroosh
+	Solution of linear ill-posed problems by model selection and aggregation	2017	Felix Abramovich Daniela De Canditiis Marianna Pensky
+	Minimax theory of estimation of linear functionals of the deconvolution density with or without sparsity	2017	Marianna Pensky
+	Anisotropic functional Laplace deconvolution	2017	Rida Benhaddou Marianna Pensky Rasika Rajapakshage
+	Laplace deconvolution and its application to Dynamic Contrast Enhanced imaging	2017	Fabienne Comte C.A. Cuénod Marianna Pensky Yves Rozenholc
+	Spectral clustering in the dynamic stochastic block model	2017	Marianna Pensky Teng Zhang
+	Solution of linear ill-posed problems by model selection and aggregation	2017	Felix Abramovich Daniela De Canditiis Marianna Pensky
+	Anisotropic functional Laplace deconvolution	2017	Rida Benhaddou Marianna Pensky Rasika Rajapakshage
+	Solution of linear ill-posed problems using overcomplete dictionaries	2016	Marianna Pensky
+	Dynamic network models and graphon estimation	2016	Marianna Pensky
+	Solution of linear ill-posed problems using random dictionaries	2016	P. K. GUPTA Marianna Pensky
+ PDF Chat	Laplace Deconvolution on the Basis of Time Domain Data and its Application to Dynamic Contrast-Enhanced Imaging	2016	Fabienne Comte C.A. Cuénod Marianna Pensky Yves Rozenholc
+	Estimation of a delta-contaminated density of a random intensity of Poisson data	2016	Daniela De Canditiis Marianna Pensky
+	Dynamic network models and graphon estimation	2016	Marianna Pensky
+	Solution of linear ill-posed problems using random dictionaries	2016	Pawan Kumar Gupta Marianna Pensky
+	Estimation of delta-contaminated density of the random intensity of Poisson data	2015	Daniela De Canditiis Marianna Pensky
+	Classification with many classes: challenges and pluses	2015	Felix Abramovich Marianna Pensky
+	Feature selection and classication of high-dimensional normal vectors with possibly large number of classes	2015	Felix Abramovich Marianna Pensky
+	Sparse high-dimensional varying coefficient model: Nonasymptotic minimax study	2015	Olga Klopp Marianna Pensky
+ PDF Chat	Sparse high-dimensional varying coefficient model: non-asymptotic minimax study	2015	Olga Klopp Marianna Pensky
+	Classification with many classes: challenges and pluses	2015	Felix Abramovich Marianna Pensky
+	Estimation of delta-contaminated density of the random intensity of Poisson data	2015	Daniela De Canditiis Marianna Pensky
+	Minimax theory of estimation of linear functionals of the deconvolution density with or without sparsity	2014	Marianna Pensky
+	A note on estimation of functionals from indirect observations with or without sparsity	2014	Marianna Pensky
+	Empirical <scp>B</scp> ayes Estimation of Reliability	2014	Marianna Pensky
+	Solution of linear ill-posed problems using overcomplete dictionaries	2014	Marianna Pensky
+	Solution of linear ill-posed problems using flexible dictionaries	2014	Marianna Pensky
+	Laplace deconvolution on the basis of time domain data and its application to Dynamic Contrast Enhanced imaging	2014	Fabienne Comte Charles-A. Cuenod Marianna Pensky Yves Rozenholc
+	Model Selection for Classification with a Large Number of Classes	2014	Justin K. Davis Marianna Pensky
+	Laplace deconvolution on the basis of time domain data and its application to Dynamic Contrast Enhanced imaging	2014	Fabienne Comte Charles-A. Cuenod Marianna Pensky Yves Rozenholc
+	Solution of linear ill-posed problems using overcomplete dictionaries	2014	Marianna Pensky
+	Minimax theory of estimation of linear functionals of the deconvolution density with or without sparsity	2014	Marianna Pensky
+ PDF Chat	Multichannel deconvolution with long-range dependence: A minimax study	2013	Rida Benhaddou Rafał Kulik Marianna Pensky Theofanis Sapatinas
+	Spatially inhomogeneous linear inverse problems with possible singularities	2013	Marianna Pensky
+ PDF Chat	Adaptive nonparametric empirical Bayes estimation via wavelet series: The minimax study	2013	Rida Benhaddou Marianna Pensky
+	Multichannel Deconvolution with Long-Range Dependence: A Minimax Study	2013	Rida Benhaddou Rafał Kulik Marianna Pensky Theofanis Sapatinas
+	De-noising procedures for frame operators	2013	Daniela De Canditiis Marco Picone Marianna Pensky Patrick J. Wolfe
+ PDF Chat	Anisotropic de-noising in functional deconvolution model with dimension-free convergence rates	2013	Rida Benhaddou Marianna Pensky Dominique Picard
+ PDF Chat	Non-asymptotic approach to varying coefficient model	2013	Olga Klopp Marianna Pensky
+ PDF Chat	Laplace deconvolution with noisy observations	2013	Felix Abramovich Marianna Pensky Yves Rozenholc
+	Sparse high-dimensional varying coefficient model: non-asymptotic minimax study	2013	Olga Klopp Marianna Pensky
+	De-noising procedures for frame operators	2013	Daniela De Canditiis Marianna Pensky Patrick J. Wolfe
+	Multichannel Deconvolution with Long-Range Dependence: A Minimax Study	2013	Rida Benhaddou Rafał Kulik Marianna Pensky Theofanis Sapatinas
+ PDF Chat	Nonparametric regression estimation based on spatially inhomogeneous data: minimax global convergence rates and adaptivity	2012	Anestis Antoniadis Marianna Pensky Theofanis Sapatinas
+	Adaptive Nonparametric Empirical Bayes Estimation Via Wavelet Series: the Minimax Study	2012	Rida Benhaddou Marianna Pensky
+	Adaptive Nonparametric Empirical Bayes Estimation Via Wavelet Series	2012	Rida Benhaddou Marianna Pensky
+	Anisotropic Denoising in Functional Deconvolution Model with Dimension-free Convergence Rates	2012	Rida Benhaddou Marianna Pensky Dominique Picard
+	Adaptive Nonparametric Empirical Bayes Estimation Via Wavelet Series: the Minimax Study	2012	Rida Benhaddou Marianna Pensky
+	Laplace deconvolution with noisy observations	2011	Felix Abramovich Marianna Pensky Yves Rozenholc
+	Nonparametric Regression Estimation with Incomplete Data: Minimax Global Convergence Rates and Adaptivity	2011	Anestis Antoniadis Marianna Pensky Theofanis Sapatinas
+	Nonparametric Regression Estimation Based on Spatially Inhomogeneous Data: Minimax Global Convergence Rates and Adaptivity	2011	Anestis Antoniadis Marianna Pensky Theofanis Sapatinas
+	Bayesian feature selection for classification with possibly large number of classes	2011	Justin K. Davis Marianna Pensky William G. R. Crampton
+ PDF Chat	Multichannel boxcar deconvolution with growing number of channels	2011	Marianna Pensky Theofanis Sapatinas
+	Nonparametric Regression Estimation Based on Spatially Inhomogeneous Data: Minimax Global Convergence Rates and Adaptivity	2011	Anestis Antoniadis Marianna Pensky Theofanis Sapatinas
+	Laplace deconvolution with noisy observations	2011	Felix Abramovich Marianna Pensky Yves Rozenholc
+ PDF Chat	On convergence rates equivalency and sampling strategies in functional deconvolution models	2010	Marianna Pensky Theofanis Sapatinas
+	Functional deconvolution in a periodic setting: Uniform case	2009	Marianna Pensky Theofanis Sapatinas
+ PDF Chat	Application of Transformations in Parametric Inference	2008	Naomi C. Brownstein Marianna Pensky
+	Empirical <scp>B</scp> ayes Estimation of Reliability	2007	Marianna Pensky
+ PDF Chat	On optimality of Bayesian testimation in the normal means problem	2007	Felix Abramovich Vadim Grinshtein Marianna Pensky
+	Functional Wavelet Deconvolution in a Periodic Setting	2007	Marianna Pensky Theofanis Sapatinas
+	Estimation of piecewise-smooth functions by amalgamated bridge regression splines	2007	Felix Abramovich Anestis Antoniadis Marianna Pensky
+	FREQUENTIST OPTIMALITY OF BAYES FACTOR ESTIMATORS IN WAVELET REGRESSION MODELS	2007	Marianna Pensky Theofanis Sapatinas
+	Confidence Intervals for Reliability and Quantile Functions With Application to NASA Space Flight Data	2006	Astrid E. Heard Marianna Pensky
+ PDF Chat	Frequentist optimality of Bayesian wavelet shrinkage rules for Gaussian and non-Gaussian noise	2006	Marianna Pensky
+	Wavelet kernel penalized estimation for non-equispaced design regression	2006	Umberto Amato Anestis Antoniadis Marianna Pensky
+ PDF Chat	Dicussion on the Meeting on ‘Statistical Approaches to Inverse Problems’	2004	Guy P. Nason Éric Moulines Christian P. Robert Christophe Andrieu Ad Stoffelen Diby Paul Felix Abramovich Robert G. Aykroyd Robert M. West Meng Sha
+	Bayesian Decision Theoretic Scale-Adaptive Estimation of a Log-Spectral Density	2003	Marianna Pensky Brani Vidaković
+	Paper Session I-C - Reliability and Safety Prediction Methods For Mission and Spaceport Operations	2003	Marianna Pensky Astrid E. Heard
+	The Stress-Strength Model and its Generalizations - Theory and Applications	2003	Samuel Kotz Yan Lumelskii Marianna Pensky
+	Rates of convergence of empirical Bayes tests for a normal mean	2002	Marianna Pensky
+	Density deconvolution based on wavelets with bounded supports	2002	Marianna Pensky
+	None	2002	Marianna Pensky
+	Adaptive wavelet empirical Bayes estimation of a location or a scale parameter	2000	Marianna Pensky
+	Testing for Unit Roots in a Nearly Nonstationary Spatial Autoregressive Process	2000	B. B. Bhattacharyya Xiao Li Marianna Pensky G. D. Richardson
+	Extended linear empirical bayes estimation	2000	Marianna Pensky Peizhong Ni
+	Linear. empirical bayes estimation in the case of the wishart distribution	2000	Marianna Pensky Kalpana Kirtane
+	Adaptive wavelet estimator for nonparametric density deconvolution	1999	Marianna Pensky Brani Vidaković
+	Nonparametric Empirical Bayes Estimation of the Matrix Parameter of the Wishart Distribution	1999	Marianna Pensky
+	Empirical bayes estimation of reliability characteristics for an exponential family	1999	Marianna Pensky R. S. Singh
+	Nonparametric Empirical Bayes Estimation via Wavelets	1999	Marianna Pensky
+	A General Approach to Nonparametric Empirical Bayes Estimation	1997	Marianna Pensky

Common Coauthors

Coauthor	Papers Together
Felix Abramovich	13
Theofanis Sapatinas	12
Rida Benhaddou	10
Daniela De Canditiis	9
Yves Rozenholc	7
Majid Noroozi	7
Ramchandra Rimal	6
Rasika Rajapakshage	6
Anestis Antoniadis	6
Hassan Foroosh	4
Fabienne Comte	4
Olga Klopp	4
C.A. Cuénod	4
Maryam Jaberi	4
Rafał Kulik	3
Teng Zhang	2
Dominique Picard	2
Patrick J. Wolfe	2
Astrid E. Heard	2
Rida Benhaddou	2
P. K. GUPTA	2
Justin K. Davis	2
Brani Vidaković	2
Yaxuan Wang	2
Marco Picone	1
Naomi C. Brownstein	1
J. Tamminen	1
Ross N. Hoffman	1
Dan Cornford	1
Marko Laine	1
Grace Wahba	1
Christian P. Robert	1
Peizhong Ni	1
Guy P. Nason	1
Sofia C. Olhede	1
B. B. Bhattacharyya	1
Meng Sha	1
Pawan Kumar Gupta	1
Axel Munk	1
Robert G. Aykroyd	1
Teng Zhang	1
Éric Moulines	1
R. S. Singh	1
Robert M. West	1
Samuel Kotz	1
U Golubev	1
E Khabie-Zeitoune	1
D Evans	1
Feng Yu	1
G. Kerkyacharian	1

Commonly Cited References

Action	Title	Year	Authors	# of times referenced
+	Wavelet decomposition approaches to statistical inverse problems	1998	Felix Abramovich B. W. Silverman	23
+	Introduction to Nonparametric Estimation	2008	Alexandre B. Tsybakov	17
+	Nonlinear Solution of Linear Inverse Problems by Wavelet–Vaguelette Decomposition	1995	David L. Donoho	17
+ PDF Chat	Thresholding estimators for linear inverse problems and deconvolutions	2003	Jérôme Kalifa Stéphane Mallat	12
+ PDF Chat	Introduction to the non-asymptotic analysis of random matrices	2012	Roman Vershynin	11
+	Adaptive wavelet estimator for nonparametric density deconvolution	1999	Marianna Pensky Brani Vidaković	11
+	A General Approach to Nonparametric Empirical Bayes Estimation	1997	Marianna Pensky	11
+ PDF Chat	Optimal spatial adaptation to inhomogeneous smoothness: an approach based on kernel estimates with variable bandwidth selectors	1997	Oleg Lepski Enno Mammen Vladimir Spokoiny	10
+ PDF Chat	On the Optimal Rates of Convergence for Nonparametric Deconvolution Problems	1991	Jianqing Fan	10
+	Consistency of spectral clustering in stochastic block models	2014	Jing Lei Alessandro Rinaldo	10
+	Ideal spatial adaptation by wavelet shrinkage	1994	David L. Donoho Iain M. Johnstone	10
+ PDF Chat	Aggregation for Gaussian regression	2007	Florentina Bunea Alexandre B. Tsybakov Marten Wegkamp	9
+ PDF Chat	Empirical Bayes Estimation in Lebesgue-Exponential Families with Rates Near the best Possible Rate	1979	R. S. Singh	9
+	The Empirical Bayes Approach to Statistical Decision Problems	1964	Herbert Robbins	8
+	Wavelets, Approximation, and Statistical Applications	1998	Wolfgang Karl Härdle Gérard Kerkyacharian Dominique Picard A. B. Tsybakov	8
+ PDF Chat	Some Thoughts on Empirical Bayes Estimation	1983	Herbert Robbins	8
+ PDF Chat	Periodic boxcar deconvolution and diophantine approximation	2004	Iain M. Johnstone Marc Raimondo	8
+	Wavelet deconvolution	2002	Jianqing Fan Ja‐Yong Koo	8
+	Table of Integrals, Series, and Products	1980		7
+ PDF Chat	Adaptive boxcar deconvolution on full Lebesgue measure sets	2007	Gérard Kerkyacharian Dominique Picard Marc Raimondo	7
+ PDF Chat	Oracle inequalities for inverse problems	2002	Laurent Cavalier G. K. Golubev D. Picard A. B. Tsybakov	7
+ PDF Chat	Adaptive Wavelet Galerkin Methods for Linear Inverse Problems	2004	Albert Cohen Marc Hoffmann Markus Reiß	7
+ PDF Chat	Nonlinear estimation for linear inverse problems with error in the operator	2008	Marc Hoffmann Markus Reiß	7
+ PDF Chat	Laplace deconvolution with noisy observations	2013	Felix Abramovich Marianna Pensky Yves Rozenholc	7
+ PDF Chat	Density estimation by wavelet thresholding	1996	David L. Donoho Iain M. Johnstone Gérard Kerkyacharian Dominique Picard	7
+ PDF Chat	Laplace Deconvolution on the Basis of Time Domain Data and its Application to Dynamic Contrast-Enhanced Imaging	2016	Fabienne Comte C.A. Cuénod Marianna Pensky Yves Rozenholc	7
+	Solution of linear ill-posed problems using overcomplete dictionaries	2016	Marianna Pensky	7
+ PDF Chat	Risk hull method and regularization by projections of ill-posed inverse problems	2006	Laurent Cavalier Yu. Golubev	6
+ PDF Chat	Simultaneous analysis of Lasso and Dantzig selector	2009	Peter J. Bickel Ya’acov Ritov Alexandre B. Tsybakov	6
+	A Fourier Approach to Nonparametric Deconvolution of a Density Estimate	1993	Peter J. Diggle Peter Hall	6
+	TRANSLATION INVARIANT DECONVOLUTION IN A PERIODIC SETTING	2004	David L. Donoho Marc Raimondo	6
+ PDF Chat	Needles and straw in haystacks: Empirical Bayes estimates of possibly sparse sequences	2004	Iain M. Johnstone Bernard W. Silverman	6
+	Functional deconvolution in a periodic setting: Uniform case	2009	Marianna Pensky Theofanis Sapatinas	6
+ PDF Chat	Dicussion on the Meeting on ‘Statistical Approaches to Inverse Problems’	2004	Guy P. Nason Éric Moulines Christian P. Robert Christophe Andrieu Ad Stoffelen Diby Paul Felix Abramovich Robert G. Aykroyd Robert M. West Meng Sha	6
+	Statistics for High-Dimensional Data: Methods, Theory and Applications	2011	Peter Bhlmann Sara van de Geer	6
+	Bayes and Empirical Bayes Methods for Data Analysis	2001	Bradley P. Carlin Thomas A. Louis	6
+	Nonparametric Bayes and empirical Bayes estimators of mean residual life at age t	1991	P. Lahiri Dong Ho Park	6
+ PDF Chat	Bayes Empirical Bayes Estimation for Natural Exponential Families with Quadratic Variance Functions	1991	G.G. Walter G. G. Hamedani	6
+ PDF Chat	Wavelet Thresholding via A Bayesian Approach	1998	Felix Abramovich Theofanis Sapatinas B. W. Silverman	5
+	Nonparametric density estimation from data with a mixture of Berkson and classical errors	2007	Aurore Delaigle	5
+ PDF Chat	Numerical Inversion of Laplace Transforms Using Laguerre Functions	1966	W. T. Weeks	5
+	Méthode de quasi-réversibilbilité et applications	1967	Robert Lattès Jacques Louis Lions	5
+ PDF Chat	On convergence rates equivalency and sampling strategies in functional deconvolution models	2010	Marianna Pensky Theofanis Sapatinas	5
+	Empirical Bayes estimation of the scale parameter in a Pareto distribution	1990	Ram C. Tiwari Jyoti Zalkikar	5
+	Adapting to Unknown Smoothness via Wavelet Shrinkage	1995	David L. Donoho Iain M. Johnstone	5
+	Handbook of Integral Equations	1998	Andrei D. Polyanin	5
+ PDF Chat	Adaptive Laguerre density estimation for mixed Poisson models	2015	Fabienne Comte Valentine Genon‐Catalot	5
+ PDF Chat	A Survey of Statistical Network Models	2009	Anna Goldenberg	5
+ PDF Chat	Block threshold rules for curve estimation using kernel and wavelet methods	1998	Peter Hall Gérard Kerkyacharian Dominique Picard	5
+	Systems of Convolution Equations, Deconvolution, Shannon Sampling, and the Wavelet and Gabor Transforms	1994	Stephen D. Casey David F. Walnut	5