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Mathematics

D-Index
43
Citations
9148
World Ranking
1679
National Ranking
725

Overview

Jayanta K. Ghosh is affiliated with Purdue University West Lafayette in the United States. Their research spans multiple fields, primarily Medicine and Agricultural and Biological Sciences, with particular focus on Public Health, Environmental and Occupational Health, Modeling and Simulation, Plant Science, Genetics, and Ecology, Evolution, Behavior and Systematics.

The main topics of Ghosh's work include Mathematical and Theoretical Epidemiology and Ecology Models, COVID-19 epidemiological studies, Evolution and Genetic Dynamics, Plant and Fungal Species Descriptions, Plant Parasitism and Resistance, Plant chemical constituents analysis, and SARS-CoV-2 and COVID-19 Research.

Frequent coauthors in their publications include Uttam Ghosh, Susmita Sarkar, Mrinmoy Midday, Debabrata Maity, and Sudhanshu Kumar Biswas.

Ghosh has published multiple articles in well-known venues. The primary publication venues are:

  • Mathematics and Computers in Simulation
  • Pleione
  • Journal of Biological Systems
  • Preprints.org
  • Feddes Repertorium

Recent papers authored or coauthored by Ghosh include:

  • Mathematical modelling of COVID-19: A case study of Italy, 2021, Mathematics and Computers in Simulation
  • Qualitative analysis and optimal control of an SIR model with logistic growth, non-monotonic incidence and saturated treatment, 2021, Mathematical Modelling of Natural Phenomena
  • COVID-19 pandemic in India: a mathematical model study, 2020, Nonlinear Dynamics
  • Fractional abundances study of macronutrients in soil using hyperspectral remote sensing, 2020, Geocarto International
  • Bifurcation analysis of a two-dimensional predator-prey model with Holling type IV functional response and nonlinear predator harvesting, 2020, Journal of Biological Systems

Best Publications

  • Convergence rates of posterior distributions

    Subhashis Ghosal;Jayanta K. Ghosh;Aad W. van der Vaart

  • ON THE VALIDITY OF THE FORMAL EDGEWORTH EXPANSION

    R. N. Bhattacharya;J. K. Ghosh

  • An Introduction to Bayesian Analysis: Theory and Methods

    J. K. Ghosh;Mohan Delampady;Tapas Samanta

  • POSTERIOR CONSISTENCY OF DIRICHLET MIXTURES IN DENSITY ESTIMATION

    S. Ghosal;J. K. Ghosh;R. V. Ramamoorthi

  • AIC, BIC and Recent Advances in Model Selection

    Arijit Chakrabarti;Jayanta K. Ghosh

  • On the asymptotic performance of the log likelihood ratio statistic for the mixture model and related results

    J. K. Ghosh;Pranab Kumar Sen

  • A New Proof of the Bahadur Representation of Quantiles and an Application

    J. K. Ghosh

  • The Relationship Between Sufficiency and Invariance with Applications in Sequential Analysis

    William Jackson Hall;R. A. Wijsman;J. K. Ghosh

  • Modifying the Schwarz Bayesian Information Criterion to Locate Multiple Interacting Quantitative Trait Loci

    Małgorzata Bogdan;Małgorzata Bogdan;Jayanta K. Ghosh;Jayanta K. Ghosh;R. W. Doerge

  • Higher order asymptotics

    Jayanta Kumar Ghosh

  • On priors providing frequentist validity for Bayesian inference

    Gauri Sankar Daita;Jayanta Kumar Ghosh

  • A Decomposition for the Likelihood Ratio Statistic and the Bartlett Correction--A Bayesian Argument

    Peter J. Bickel;J. K. Ghosh

  • Identifiability of the multinormal and other distributions under competing risks model

    A.P Basu;A.P Basu;J.K Ghosh;J.K Ghosh

  • Asymptotic Bayes-optimality under sparsity of some multiple testing procedures

    Małgorzata Bogdan;Arijit Chakrabarti;Florian Frommlet;Jayanta K. Ghosh

  • Posterior consistency of logistic Gaussian process priors in density estimation

    Surya T. Tokdar;Jayanta K. Ghosh;Jayanta K. Ghosh

  • Valid asymptotic expansions for the likelihood ratio statistic and other perturbed chi-square variables

    Tapas K. Chandra;J. K. Ghosh

  • An Introduction to Bayesian Analysis

    Jayanta K. Ghosh;Tapas Samanta;Mohan Delampady

  • Asymptotic Properties of Bayes Risk for the Horseshoe Prior

    Jyotishka Datta;Jayanta. K. Ghosh

  • Approximations and consistency of Bayes factors as model dimension grows

    James O. Berger;Jayanta K. Ghosh;Jayanta K. Ghosh;Nitai Mukhopadhyay

  • Second order efficiency of maximum likelihood estimators

    J. K. Ghosh;K. Subramanyam

  • Latent Class and Latent Transition Analysis: With Applications in the Social, Behavioral, and Health Sciences by Linda M. Collins, Stephanie T. Lanza

    Jayanta K. Ghosh

  • Causality: Models, Reasoning and Inference, Second Edition by Judea Pearl

    Jayanta K. Ghosh

  • Bayesian Networks and Decision Graphs, 2nd Edition by Finn V. Jensen, Thomas D. Nielsen

    Jayanta K. Ghosh

Frequent Co-Authors

Rahul Mukerjee
Rahul Mukerjee Indian Institute of Management Calcutta
Subhashis Ghosal
Subhashis Ghosal North Carolina State University
Pranab Kumar Sen
Pranab Kumar Sen University of North Carolina at Chapel Hill
Rebecca W. Doerge
Rebecca W. Doerge Carnegie Mellon University
Partha P. Majumder
Partha P. Majumder Indian Statistical Institute
Cindy H. Nakatsu
Cindy H. Nakatsu Purdue University West Lafayette
Rabi Bhattacharya
Rabi Bhattacharya University of Arizona
James O. Berger
James O. Berger Duke University
Dipak K. Dey
Dipak K. Dey University of Connecticut
Samuel Kotz
Samuel Kotz George Washington University

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