World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
32
Citations
5261
World Ranking
13047
National Ranking
5253

Mathematics

D-Index
34
Citations
7191
World Ranking
2859
National Ranking
1163

Research.com Recognitions

  • 1993 - Fellow of the American Statistical Association (ASA)

Overview

Mark J. Schervish is affiliated with Carnegie Mellon University in the United States and specializes in computer science with a focus on artificial intelligence. The researcher's work intersects with several subfields including the history and philosophy of science, economics and econometrics, statistics and probability, and philosophy.

Their research covers multiple topics such as Bayesian modeling and causal inference, philosophy and history of science, machine learning and algorithms, fuzzy systems and optimization, epistemology, ethics, and metaphysics, logic, reasoning, and knowledge, and economic theories and models.

Recent publications include:

  • "Learning and total evidence with imprecise probabilities," 2022, International Journal of Approximate Reasoning
  • "Deceptive Credences," 2021, Ergo an Open Access Journal of Philosophy
  • "When No Price is Right," 2021, SSRN Electronic Journal
  • "Correction to: On the equivalence of conglomerability and disintegrability for unbounded random variables," 2022, Statistical Methods & Applications
  • "When No Price is Right," 2022, SSRN Electronic Journal

Frequent coauthors working with Schervish include Joseph B. Kadane, Teddy Seidenfeld, Rafael B. Stern, Ruobin Gong, and R. Stern.

The researcher has published multiple papers in venues such as the SSRN Electronic Journal, International Journal of Approximate Reasoning, Ergo an Open Access Journal of Philosophy, Statistical Methods & Applications, and Erkenntnis.

Mark J. Schervish was named a Fellow of the American Statistical Association (ASA) in 1993.

Best Publications

  • Introduction to Statistical Decision Theory.

    Unknown

  • Covariance Tapering for Likelihood-Based Estimation in Large Spatial Data Sets

    Cari G. Kaufman;Mark J. Schervish;Douglas W. Nychka

  • The consistency of posterior distributions in nonparametric problems

    Andrew Barron;Mark J. Schervish;Larry Wasserman

  • Nonstationary Covariance Functions for Gaussian Process Regression

    Christopher J. Paciorek;Mark J. Schervish

  • Multivariate normal probabilities with error bound

    Mark J. Schervish

  • P Values: What They are and What They are Not

    Mark J. Schervish

  • Path Planning for Robotic Demining: Robust Sensor-Based Coverage of Unstructured Environments and Probabilistic Methods

    Ercan U. Acar;Howie Choset;Yangang Zhang;Mark J. Schervish

  • Bayes Factors: What They are and What They are Not

    Michael Lavine;Mark J. Schervish

  • A General Method for Comparing Probability Assessors

    Mark J. Schervish

  • A Representation of Partially Ordered Preferences

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

  • P Values: What They Are and What They Are Not

    Unknown

  • On posterior consistency in nonparametric regression problems

    Taeryon Choi;Mark J. Schervish

  • Prior Information in Linear Models.

    Unknown

  • On the Convergence of Successive Substitution Sampling

    Mark J. Schervish;Bradley P. Carlin

  • Simulation Modeling and Analysis

    Mark J. Schervish;Averill M. Law;W. David Kelton

  • On the Shared Preferences of Two Bayesian Decision Makers

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

  • The extent of non-conglomerability of finitely additive probabilities

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

  • Modeling Expert Judgments for Bayesian Updating

    Christian Genest;Mark J. Schervish

  • State-Dependent Utilities

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

  • Coherent choice functions under uncertainty

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

  • Characterization of Externally Bayesian Pooling Operators

    Christian Genest;Kevin J. McConway;Mark J. Schervish

  • Reasoning to a foregone conclusion

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

  • Decisions Without Ordering

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

Frequent Co-Authors

Joseph B. Kadane
Joseph B. Kadane Carnegie Mellon University
Mitchell J. Small
Mitchell J. Small Carnegie Mellon University
Howie Choset
Howie Choset Carnegie Mellon University
Christian Genest
Christian Genest McGill University
Larry Wasserman
Larry Wasserman Carnegie Mellon University
robert e kass
robert e kass Carnegie Mellon University
John P. Lehoczky
John P. Lehoczky Carnegie Mellon University
John Monahan
John Monahan University of Virginia
Bradley P. Carlin
Bradley P. Carlin University of Minnesota
Robert L. Winkler
Robert L. Winkler Duke University

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