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Mathematics

D-Index
67
Citations
17322
World Ranking
334
National Ranking
185

Research.com Recognitions

  • 2010 - Fellow of the American Academy of Arts and Sciences
  • 1981 - Fellow of the American Association for the Advancement of Science (AAAS)
  • 1973 - Fellow of the American Statistical Association (ASA)

Overview

Joseph B. Kadane is affiliated with Carnegie Mellon University in the United States. Their primary field of study is Computer Science, with a focus on several subfields including Artificial Intelligence, Statistics and Probability, Economics and Econometrics, Management Science and Operations Research, and History and Philosophy of Science.

The research conducted by Joseph B. Kadane covers a range of main topics:

  • Bayesian Modeling and Causal Inference
  • Advanced Statistical Methods and Models
  • Philosophy and History of Science
  • Bayesian Methods and Mixture Models
  • Mathematical Dynamics and Fractals
  • Limits and Structures in Graph Theory
  • Semigroups and Automata Theory

Recent scholarly publications by Joseph B. Kadane include:

  • On the Probability That Two Random Integers Are Coprime, 2020, Statistical Science
  • Priors Neutral Between the Parties: The Batson Motion in Idaho v. Ish, 2021, Law Probability and Risk
  • Learning and Total Evidence with Imprecise Probabilities, 2022, International Journal of Approximate Reasoning
  • Odds Ratios as a Measure of Disproportionate Treatment: Application to Jury Venires, 2022, Law Probability and Risk
  • Reference Populations for Examining Possible Racial Profiling, 2023, Law Probability and Risk

The venues where Joseph B. Kadane frequently publishes research include:

  • Law Probability and Risk
  • SSRN Electronic Journal
  • Statistical Science
  • International Journal of Approximate Reasoning
  • Ergo an Open Access Journal of Philosophy

Collaborations are a notable aspect of their research profile. Frequent co-authors include:

  • Mark J. Schervish
  • Teddy Seidenfeld
  • Rafael B. Stern
  • Ruobin Gong
  • Emily Wilkinson

Joseph B. Kadane has received several distinctions throughout their career, including election as a Fellow of the American Academy of Arts and Sciences in 2010, a Fellow of the American Association for the Advancement of Science in 1981, and a Fellow of the American Statistical Association in 1973.

Best Publications

  • Accurate Approximations for Posterior Moments and Marginal Densities

    Luke Tierney;Joseph B. Kadane

  • Statistical Methods for Eliciting Probability Distributions

    Paul H Garthwaite;Joseph B Kadane;Anthony O'Hagan

  • An overview of robust Bayesian analysis

    James O. Berger;Elías Moreno;Luis Raul Pericchi;M. Jesús Bayarri

  • A useful distribution for fitting discrete data: revival of the Conway-Maxwell-Poisson distribution

    Galit Shmueli;Thomas P. Minka;Joseph B. Kadane;Sharad Borle

  • Methods and Criteria for Model Selection

    Joseph B Kadane;Nicole A Lazar

  • Fully Exponential Laplace Approximations to Expectations and Variances of Nonpositive Functions

    Luke Tierney;Robert E. Kass;Joseph B. Kadane

  • Experiences in elicitation

    Joseph Kadane;Lara J. Wolfson

  • Interactive Elicitation of Opinion for a Normal Linear Model

    Joseph B. Kadane;James M. Dickey;Robert L. Winkler;Wayne S. Smith

  • Subjective Probability and the Theory of Games

    Joseph B. Kadane;Patrick D. Larkey

  • Scoring rules and the evaluation of probabilities

    R.L. Winkler

  • The validity of posterior expansions based on Laplace''s method

    Robert E. Kass;Luke Tierney;Joseph B. Kadane

  • A Probabilistic Analysis of the Sacco and Vanzetti Evidence

    Joseph B. Kadane;David A. Schum

  • Comparison of k-Class Estimators When the Disturbances Are Small

    Joseph B. Kadane

  • A Representation of Partially Ordered Preferences

    Teddy Seidenfeld;Mark J. Schervish;Joseph B. Kadane

  • Bayes' Theorem for Choquet Capacities

    Larry A. Wasserman;Joseph B. Kadane

  • Separating Probability Elicitation from Utilities

    Joseph B. Kadane;Robert L. Winkler

  • Approximate marginal densities of nonlinear functions

    Luke Tierney;Robert E. Kass;Joseph B. Kadane

  • Optimal problem-solving search : all-or-none solutions

    Herbert A. Simon;Joseph B. Kadane

  • Optimal Whereabouts Search

    Joseph B. Kadane

  • Approximate methods for assessing influence and sensitivity in Bayesian analysis

    Robbert E. Kass;Luke Tierney;Joseph B. Kadane

  • Structural Analysis of Discrete Data with Econometric Applications

    Joseph B. Kadane

Frequent Co-Authors

Mark J. Schervish
Mark J. Schervish Carnegie Mellon University
Larry Wasserman
Larry Wasserman Carnegie Mellon University
Anthony O'Hagan
Anthony O'Hagan University of Sheffield
Tom Minka
Tom Minka Microsoft (United States)
Robert L. Winkler
Robert L. Winkler Duke University
Stephen E. Fienberg
Stephen E. Fienberg Carnegie Mellon University
Herbert A. Simon
Herbert A. Simon Carnegie Mellon University
Galit Shmueli
Galit Shmueli National Tsing Hua University
Cliff I. Davidson
Cliff I. Davidson Syracuse University
Mitchell J. Small
Mitchell J. Small Carnegie Mellon University

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