Dipak K. Dey

Orcid: 0000-0002-9367-9731

Affiliations:
  • University of Connecticut, Storrs, CT, USA


According to our database1, Dipak K. Dey authored at least 26 papers between 2005 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2023
Fast Bayesian inference of block Nearest Neighbor Gaussian models for large data.
Stat. Comput., April, 2023

Improving Opioid Use Disorder Risk Modelling through Behavioral and Genetic Feature Integration.
CoRR, 2023

Spatial Clustering Regression of Count Value Data via Bayesian Mixture of Finite Mixtures.
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

2022
On Moments of Folded and Doubly Truncated Multivariate Extended Skew-Normal Distributions.
J. Comput. Graph. Stat., January, 2022

2021
Heckman selection-t model: Parameter estimation via the EM-algorithm.
J. Multivar. Anal., 2021

A note on response mean confidence band for linear regression models.
Commun. Stat. Simul. Comput., 2021

Generalized co-sparse factor regression.
Comput. Stat. Data Anal., 2021

2020
Classification of high-dimensional electroencephalography data with location selection using structured spike-and-slab prior.
Stat. Anal. Data Min., 2020

Power series cure rate model for spatially correlated interval-censored data based on generalized extreme value distribution.
J. Comput. Appl. Math., 2020

Clique-Based Method for Social Network Clustering.
J. Classif., 2020

2019
Flexible regression modeling for censored data based on mixtures of student-t distributions.
Comput. Stat., 2019

D-Measure: A Bayesian Model Selection Criterion for Survival Data.
Adv. Data Sci. Adapt. Anal., 2019

2018
Leveraging mixed and incomplete outcomes via reduced-rank modeling.
J. Multivar. Anal., 2018

Categorical Data Analysis Using a Skewed Weibull Regression Model.
Entropy, 2018

Reforming Generative Autoencoders via Goodness-of-Fit Hypothesis Testing.
Proceedings of the Thirty-Fourth Conference on Uncertainty in Artificial Intelligence, 2018

2017
Bayesian sparse reduced rank multivariate regression.
J. Multivar. Anal., 2017

Model-Based Method for Social Network Clustering.
CoRR, 2017

2016
Clustering by propagating probabilities between data points.
Appl. Soft Comput., 2016

2014
Bayesian model diagnostics using functional Bregman divergence.
J. Multivar. Anal., 2014

State space mixed models for binary responses with scale mixture of normal distributions links.
Comput. Stat. Data Anal., 2014

2013
Bayesian inference in nonlinear mixed-effects models using normal independent distributions.
Comput. Stat. Data Anal., 2013

2012
Modeling experimental cross-transiograms of neighboring landscape categories with the gamma distribution.
Int. J. Geogr. Inf. Sci., 2012

2011
Bayesian nonlinear regression models with scale mixtures of skew-normal distributions: Estimation and case influence diagnostics.
Comput. Stat. Data Anal., 2011

2008
A semiparametric modeling framework for potential biomarker discovery and the development of metabonomic profiles.
BMC Bioinform., 2008

2006
On the product and ratio of <i>t</i> random variables.
Appl. Math. Lett., 2006

2005
Bayesian models for the analysis of genetic structure when populations are correlated.
Bioinform., 2005


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