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EMPIRICAL BAYES ESTIMATION OF A LOCATION PARAMETER

Pensky, Marianna - In: Statistics & Decisions 15 (1997) 1, pp. 1-16

Persistent link: https://www.econbiz.de/10014621976

ESTIMATION OF A SMOOTH DENSITY FUNCTION USING MEYER-TYPE WAVELETS

Pensky, Marianna - In: Statistics & Decisions 17 (1999) 2, pp. 111-124

Persistent link: https://www.econbiz.de/10014622070

A NEW APPROACH TO EMPIRICAL BAYES ESTIMATION WITH ERRORS IN VARIABLES

Pensky, Marianna - In: Statistics & Decisions 20 (2002) 1-4, pp. 225-240

Persistent link: https://www.econbiz.de/10014622183

Estimation and clustering in popularity adjusted block model

Noroozi, Majid; Rimal, Ramchandra; Pensky, Marianna - In: Journal of the Royal Statistical Society: Series B … 83 (2021) 2, pp. 293-317

Persistent link: https://www.econbiz.de/10012538900

Locally Adaptive Wavelet Empirical Bayes Estimation of a Location Parameter

Pensky, Marianna - In: Annals of the Institute of Statistical Mathematics 54 (2002) 1, pp. 83-99

Persistent link: https://www.econbiz.de/10005395556

Clustering time-course microarray data using functional Bayesian infinite mixture model

Angelini, Claudia; Canditiis, Daniela De; Pensky, Marianna - In: Journal of Applied Statistics 39 (2012) 1, pp. 129-149

This paper presents a new Bayesian, infinite mixture model based, clustering approach, specifically designed for time-course microarray data. The problem is to group together genes which have “similar” expression profiles, given the set of noisy measurements of their expression levels over a...

Persistent link: https://www.econbiz.de/10010975995

A Bayesian Approach to Estimation and Testing in Time-course Microarray Experiments

Angelini, Claudia; Canditiis, Daniela De; Mutarelli, … - In: Statistical Applications in Genetics and Molecular Biology 6 (2008) 1, pp. 24-24

The objective of the present paper is to develop a truly functional Bayesian method specifically designed for time series microarray data. The method allows one to identify differentially expressed genes in a time-course microarray experiment, to rank them and to estimate their expression...

Persistent link: https://www.econbiz.de/10005046597

Decision theory classification of high-dimensional vectors based on small samples

Bradshaw, David; Pensky, Marianna - In: TEST: An Official Journal of the Spanish Society of … 17 (2008) 1, pp. 83-100

Persistent link: https://www.econbiz.de/10005613309

Density Deconvolution of Different Conditional Distributions

Pensky, Marianna; Zayed, Ahmed - In: Annals of the Institute of Statistical Mathematics 54 (2002) 3, pp. 701-712

Persistent link: https://www.econbiz.de/10005616326

Bayesian models for two-sample time-course microarray experiments

Angelini, Claudia; De Canditiis, Daniela; Pensky, Marianna - In: Computational Statistics & Data Analysis 53 (2009) 5, pp. 1547-1565

A truly functional Bayesian method for detecting temporally differentially expressed genes between two experimental conditions is presented. The method distinguishes between two biologically different set ups, one in which the two samples are interchangeable, and one in which the second sample...

Persistent link: https://www.econbiz.de/10005117961