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D-Index & Metrics

Mathematics

D-Index
45
Citations
12940
World Ranking
1426
National Ranking
631

Research.com Recognitions

  • 2011 - Fellow of the American Association for the Advancement of Science (AAAS)
  • 1997 - Fellow of the American Statistical Association (ASA)

Overview

Dipak K. Dey is affiliated with the University of Connecticut in the United States. Their research primarily spans the field of mathematics, with a strong focus on statistics and probability.

The main areas of study covered in their work include:

  • Statistics and Probability
  • Artificial Intelligence
  • Economics and Econometrics
  • Management Science and Operations Research
  • Statistics, Probability and Uncertainty

Their research topics are centered around:

  • Statistical Methods and Bayesian Inference
  • Statistical Distribution Estimation and Applications
  • Bayesian Methods and Mixture Models
  • Statistical Methods and Inference
  • Advanced Statistical Methods and Models
  • Spatial and Panel Data Analysis
  • Economic and Environmental Valuation

Frequent co-authors of Dipak K. Dey include:

  • Víctor H. Lachos (9 collaborative works)
  • Shariq Mohammed (5 collaborative works)
  • Marcos O. Prates (4 collaborative works)
  • Pedro Luiz Ramos (4 collaborative works)
  • Francisco Louzada (4 collaborative works)

Their recent publications feature research across various journals and topics:

  • Prostate Cancer Diagnosis in the Clinic Using an 8-Protein Biomarker Panel, 2020, Analytical Chemistry
  • On Moments of Folded and Doubly Truncated Multivariate Extended Skew-Normal Distributions, 2021, Journal of Computational and Graphical Statistics
  • Three-dimensional polarimetric integral imaging in photon-starved conditions: performance comparison between visible and long wave infrared imaging, 2020, Optics Express
  • Heckman selection-t model: Parameter estimation via the EM-algorithm, 2021, Journal of Multivariate Analysis
  • An extended poisson family of life distribution: a unified approach in competitive and complementary risks, 2020, Munich Personal RePEc Archive (Ludwig Maximilian University of Munich)

Dipak K. Dey has published frequently in venues such as:

  • arXiv (Cornell University) with 13 publications
  • Journal of Computational and Graphical Statistics with 2 publications
  • Journal of Multivariate Analysis with 2 publications
  • Canadian Journal of Statistics with 2 publications
  • Munich Personal RePEc Archive (Ludwig Maximilian University of Munich) with 2 publications

They have received recognition in their field, including being named a Fellow of the American Association for the Advancement of Science (AAAS) in 2011 and a Fellow of the American Statistical Association (ASA) in 1997.

Best Publications

  • Bayesian Model Choice: Asymptotics and Exact Calculations

    Alan E Gelfand;D K Dey

  • Model Determination Using Predictive Distributions with Implementation via Sampling-Based Methods

    Alan E. Gelfand;Dipak K. Dey;Hong Chang

  • A General Class of Multivariate Skew-Elliptical Distributions

    Márcia D. Branco;Dipak K. Dey

  • A new class of multivariate skew distributions with applications to Bayesian regression models

    Sujit K. Sahu;Dipak K. Dey;Márcia D. Branco

  • A Bayesian approach to inferring population structure from dominant markers

    Kent E. Holsinger;Paul O. Lewis;Dipak K. Dey

  • Estimation of a covariance matrix under Stein's loss

    Dipak K. Dey;C. Srinivasan

  • Skewed multivariate models related to hidden truncation and/or selective reporting

    Barry C. Arnold;Robert J. Beaver;A. Azzalini;N. Balakrishnan

  • A first course in linear model theory

    Nalini Ravishanker;Dipak K. Dey

  • A double blind, randomized, placebo controlled study of the efficacy and safety of 5-Loxin ® for treatment of osteoarthritis of the knee

    Krishanu Sengupta;Krishnaraju V. Alluri;Andey Rama Satish;Simanchala Mishra

  • Generalized Linear Models : A Bayesian Perspective

    Dipak K. Dey;Sujit K. Ghosh;Bani K. Mallick

  • Semiparametric Bayesian analysis of survival data

    Debajyoti Sinha;Dipak K. Dey

  • A New Skewed Link Model for Dichotomous Quantal Response Data

    Ming-Hui Chen;Dipak K. Dey;Qi-Man Shao

  • A Weibull Regression Model with Gamma Frailties for Multivariate Survival Data

    Sujit K. Sahu;Dipak K. Dey;Helen Aslanidou;Debajyoti Sinha

  • To Bayes or Not to Bayes, From Whether to When: Applications of Bayesian Methodology to Modeling

    Andre A. Rupp;Dipak K. Dey;Bruno D. Zumbo

  • Bayesian Approach for Nonlinear Random Effects Models

    Dipak K. Dey;Ming-Hui Chen;Hong Chang

  • Frequentist validity of posterior quantiles in the presence of a nuisance parameter : higher order asymptotics

    Rahul Mukerjee;Dipak K. Dey

  • Generalized extreme value regression for binary response data: An application to B2B electronic payments system adoption

    Xia Wang;Dipak K. Dey

  • Bayesian analysis of multivariate survival data using Monte Carlo methods

    Helen Aslanidou;Dipak K. Dey;Dipak K. Dey;Debajyoti Sinha

  • Bayesian analysis of outlier problems using divergence measures

    Fengchun Peng;Dipak K. Dey

  • Simultaneous estimation of parameters under entropy loss

    Dipak K. Dey;Malay Ghosh;C. Srinivasan

  • Approximatereference priors in the presence of latent structures

    Ming-Hui Chen;Peter Müller;Dongchu Sun;Keying Ye

Frequent Co-Authors

Ming-Hui Chen
Ming-Hui Chen University of Connecticut
Bani K. Mallick
Bani K. Mallick Texas A&M University
Victor H. Lachos
Victor H. Lachos University of Connecticut
Peter Müller
Peter Müller The University of Texas at Austin
Alan E. Gelfand
Alan E. Gelfand Duke University
Jun Yan
Jun Yan University of Connecticut
Bahram Javidi
Bahram Javidi University of Connecticut
Sudipto Banerjee
Sudipto Banerjee University of California, Los Angeles
Malay Ghosh
Malay Ghosh University of Florida
Siba P. Raychaudhuri
Siba P. Raychaudhuri University of California, Davis

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