M. Schervish

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Theory of Statistics

M. Schervish, 1995 .

Posterior Consistency in Nonparametric Regression Problems under Gaussian Process Priors

M. Schervish, T. Choi, Taeryon Choi, 2004 .

Probability and Statistics

M. Degroot, M. Schervish, 1977 .

A General Method for Comparing Probability Assessors

M. Schervish, 1989 .

The consistency of posterior distributions in nonparametric problems

L. Wasserman, A. Barron, M. Schervish, 1999 .

Characterization of Externally Bayesian Pooling Operators

M. Schervish, K. McConway, C. Genest, 1986 .

On the Convergence of Successive Substitution Sampling

B. Carlin, M. Schervish, 1992 .

On posterior consistency in nonparametric regression problems

M. Schervish, T. Choi, Taeryon Choi, 2007 .

A Representation of Partially Ordered Preferences

M. Schervish, J. Kadane, Teddy Seidenfeld, 1995 .

Comments on: "Methods for approximating integrals in statistics with special emphasis on Bayesian integration problems" by M. Evans and T. SwartzCommentCommentCommentRejoinder

Larry Wasserman, Michael Evans, Tim B. Swartz, 1996 .

Multivariate normal probabilities with error bound

M. Schervish, 1984 .

Nonstationary Covariance Functions for Gaussian Process Regression

Mark J. Schervish, Christopher J. Paciorek, M. Schervish, 2003, NIPS.

Characterization of Arsenic Occurrence in Source Waters of U.S. Community Water Systems

M. Schervish, J. R. Lockwood, P. Gurian, 2001 .

State-Dependent Utilities

M. Schervish, J. Kadane, Teddy Seidenfeld, 1990 .

Nonparametric Risk Bounds for Time-Series Forecasting

Cosma Rohilla Shalizi, Mark J. Schervish, Daniel J. McDonald, 2012, J. Mach. Learn. Res..

Estimating beta-mixing coefficients via histograms

M. Schervish, C. Shalizi, D. McDonald, 2011, 1109.5998.

Bayes Factors: What They are and What They are Not

M. Schervish, M. Lavine, 1999 .

Sleeping Beauty’s Credences

M. Schervish, J. Kadane, Teddy Seidenfeld, 2016, Philosophy of Science.

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

Douglas W. Nychka, Mark J. Schervish, Cari G. Kaufman, 2008 .

4 M ar 2 01 1 Estimating β-mixing coefficients

M. Schervish, C. Shalizi, D. McDonald, 2011 .

Linear discrimination for three known normal populations

M. Schervish, 1984 .

Coherent combination of experts' opinions

R. L. Winkler, M. Degroot, A. Dawid, 1995 .

An approach to consensus and certainty with increasing evidence

M. Schervish, Teddy Seidenfeld, 1990 .

Estimated VC dimension for risk bounds

M. Schervish, C. Shalizi, D. McDonald, 2011, 1111.3404.

Prior information in linear models

M. Schervish, H. Toutenburg, 1983 .

The extent of non-conglomerability of finitely additive probabilities

Joseph B. Kadane, Teddy Seidenfeld, Mark J. Schervish, 1984 .

Non-Conglomerability for Finite-Valued, Finitely Additive Probability

Joseph B. Kadane, Teddy Seidenfeld, Mark J. Schervish, 1998 .

Rethinking the Foundations of Statistics: Statistical Implications of Finitely Additive Probability

Joseph B. Kadane, Teddy Seidenfeld, Mark J. Schervish, 1999 .

Rethinking the Foundations of Statistics: Subject Index

Joseph B. Kadane, Teddy Seidenfeld, Mark J. Schervish, 1999 .

Dominating countably many forecasts

J. B. Kadane, Teddy Seidenfeld, M. Schervish, 2014, 1405.6535.

Modeling Expert Judgments for Bayesian Updating

Christian Genest, Mark J. Schervish, M. Schervish, 1985 .

You have printed the following article : On the Shared Preferences of Two Bayesian Decision Makers

Joseph B. Kadane, Teddy Seidenfeld, Mark J. Schervish, 2008 .

Is ignorance Bliss

Joseph B. Kadane, Teddy Seidenfeld, Mark J. Schervish, 2008 .

Reasoning to a foregone conclusion

Joseph B. Kadane, Teddy Seidenfeld, Mark J. Schervish, 1996 .

Analysis of Contaminant Co-Occurrence in Community Water Systems

Mitchell J. Small, Patrick L. Gurian, Mark J. Schervish, 2004 .

Bayesian Prediction of National Multi-Contaminant Trends in Community Water System Sources

M. Schervish, J. R. Lockwood, P. Gurian, 2002 .

Benefit‐cost estimation for alternative drinking water maximum contaminant levels

Mitchell J. Small, Patrick L. Gurian, Mark J. Schervish, 2001 .

Bayesian Hierarchical Analysis for Multiple Health Endpoints in a Toxicity Study

M. Schervish, T. Choi, M. Small, 2010 .

A REPRESENTATION OF PARTIALLY ORDERED PREFERENCES 1

Joseph B. Kadane, Teddy Seidenfeld, Mark J. Schervish, 1995 .

The Effect of Exchange Rates on Statistical Decisions

M. Schervish, J. Kadane, Teddy Seidenfeld, 2013, Philosophy of Science.

What Kind of Uncertainty is That? Using Personal Probability for Expressing One's Thinking About Logical and Mathematical Propositions

Joseph B. Kadane, Mark J. Schervish, M. Schervish, 2012 .

Improper regular conditional distributions

Joseph B. Kadane, Teddy Seidenfeld, Mark J. Schervish, 2001 .

P Values: What They are and What They are Not

M. Schervish, 1996 .

Proposal Generalization Error Bounds for State Space Models with an Application to Economic Forecasting Version : July 14 , 2010

A. Rinaldo, L. Wasserman, M. Schervish, 2010 .

Proposal Generalization Error Bounds for State Space Models with an Application to Economic Forecasting Version : June 29 , 2010 Committee :

A. Rinaldo, L. Wasserman, M. Schervish, 2010 .

Two measures of incoherence: How not to Gamble if you must

M. Schervish, J. Kadane, Teddy Seidenfeld, 1998 .

Two measures of incoherence: How not to Gamble if you must

M. Schervish, J. Kadane, Teddy Seidenfeld, 1998 .

Measuring Incoherence

M. Schervish, J. Kadane, 2002 .

Rethinking the Foundations of Statistics: Subject Index

Joseph B. Kadane, Teddy Seidenfeld, Mark J. Schervish, 1999 .

NONCONGLOMERABILITY FOR COUNTABLY ADDITIVE MEASURES THAT ARE NOT κ-ADDITIVE

Joseph B. Kadane, Teddy Seidenfeld, Mark J. Schervish, 2016, The Review of Symbolic Logic.

A Conflict between Finite Additivity and Avoiding Dutch Book

M. Schervish, J. Kadane, Teddy Seidenfeld, 1983, Philosophy of Science.

When Fair Betting Odds Are Not Degrees of Belief

M. Schervish, J. Kadane, Teddy Seidenfeld, 1990, PSA Proceedings of the Biennial Meeting of the Philosophy of Science Association.

Improper regular conditional distributions

M. Schervish, J. Kadane, Teddy Seidenfeld, 2001, math/0603012.

Hierarchical Semi-parametric Duration Models

M. Schervish, Mingyu Tang, 2014, 1403.0998.

Learning and total evidence with imprecise probabilities

M. Schervish, J. Kadane, Teddy Seidenfeld, 2022, Int. J. Approx. Reason..

User-Oriented Inference

M. Schervish, 1983 .

[Bootstrap: More than a Stab in the Dark?]: Comment

M. Schervish, 1994 .

Implications of advances in computing for graduate study in statistics

William F. Eddy, Robert E. Kass, Mark J. Schervish, 1986 .

Self-Calibrating Priors Do Not Exist: Comment

Mark J. Schervish, M. Schervish, 1985 .

Studies in Inductive Logic and Probability (Vol. II).

Richard C. Jeffrey, Mark J. Schervish, R. Jeffrey, 1982 .

Personal Crunching: Statgraphics

Mark J. Schervish, M. Schervish, 1989 .

Corrections: Algorithm AS 195: Multivariate Normal Probabilities with Error Bound

Mark J. Schervish, M. Schervish, 1985 .

A Fair Minimax Theorem for Two-Person (Zero-Sum) Games Involving Finitely Additive Strategies

Teddy Seidenfeld, Mark J. Schervish, M. Schervish, 1996 .

What finite-additivity can add to decision theory

Joseph B. Kadane, Teddy Seidenfeld, Mark J. Schervish, 2020, Statistical Methods & Applications.

Correction - improper regular conditional distributions

M. Schervish, Teddy Seidenfeld, 2006 .

A Review of Multivariate Analysis

Mark J. Schervish, M. Schervish, 1987 .

Asymptotic Expansions for Correct Classification Rates in Discriminant Analysis

M. Schervish, 1981 .

Personal Crunching: Data Desk Professional

Mark J. Schervish, M. Schervish, 1989 .

Small Worlds and State Dependent Utilities

Joseph B. Kadane, Teddy Seidenfeld, Mark J. Schervish, 1992 .

Personal Crunching: EasyPlot

Mark J. Schervish, M. Schervish, 1991 .

Student's solutions manual to accompany probability and statistics

Mark J. Schervish, Morris H. DeGroot, M. Degroot, 2002 .

An Error-Bounded Algorithm for Normal Probabilities of Rectangular Regions

Robert Bohrer, Mark J. Schervish, M. Schervish, 1981 .

A Rubinesque Theory of Decision

Joseph B. Kadane, Teddy Seidenfeld, Mark J. Schervish, 2004 .

Goldstein's dilemma: require countable additivity or abandon “prevision of prevision”

Joseph B. Kadane, Teddy Seidenfeld, Mark J. Schervish, 2001 .

How Sets of Coherent Probabilities May Serve as Models for Degrees of Incoherence

Joseph B. Kadane, Teddy Seidenfeld, Mark J. Schervish, 2000, Int. J. Uncertain. Fuzziness Knowl. Based Syst..

Discussion: Calibration-Based Empirical Probability

Mark J. Schervish, M. Schervish, 1985 .

Probability and Statistics ,4th Edition

Mark J. Schervish, Morris H. DeGroot, M. Degroot, 2014 .

What finite-additivity can add to decision theory

M. Schervish, J. Kadane, Teddy Seidenfeld, 2019, Statistical Methods & Applications.

A Classical Moment-Based Approach with Bayesian Properties: Econometric Theory and Empirical Evidence from Asset Pricing Comments welcome

Bryan R. Routledge, S. Shreve, M. Schervish, 2013 .

Spatial modelling using a new class of nonstationary covariance functions

Christopher J Paciorek, Mark J Schervish, M. Schervish, 2006, Environmetrics.

On the equivalence of conglomerability and disintegrability for unbounded random variables

M. Schervish, J. Kadane, Teddy Seidenfeld, 2014, Statistical Methods & Applications.

On the equivalence of conglomerability and disintegrability for unbounded random variables

Joseph B. Kadane, Teddy Seidenfeld, Mark J. Schervish, 2014, Stat. Methods Appl..

Comments on some axioms for combining expert judgments

Mark J. Schervish, M. Schervish, 1986 .

Errors in Statistical Assumptions, Effects of

Mark J. Schervish, M. Schervish, 2001 .

Risk bounds for time series without strong mixing pdf

Cosma Rohilla Shalizi, Mark J. Schervish, Daniel J. McDonald, 2011, ArXiv.

Estimating beta-mixing coefficients

Cosma Rohilla Shalizi, Mark J. Schervish, Daniel J. McDonald, 2011, AISTATS.

Statistical Computing Software Reviews

Mark J. Schervish, M. Schervish, 1985 .

MCMC Strategies for Computing Bayesian Predictive Densities for Censored Multivariate Data

Mark J. Schervish, J. R Lockwood, M. Schervish, 2005 .

Graduate Education in Computational Statistics

William F. Eddy, Robert E. Kass, Mark J. Schervish, 1987 .

A One-Sided Goodness-of-Fit Test for a Multinomial Population: Comment

M. Schervish, 1985 .

Algorithm AS 184: Non-Central Studentized Maximum and Related Multiple-t Probabilities

M. Schervish, R. Bohrer, Judith Sheft, 1982 .

Time series forecasting: model evaluation and selection using nonparametric risk bounds pdf

Cosma Rohilla Shalizi, Mark J. Schervish, Daniel J. McDonald, 2012, ArXiv.

THE CONSISTENCY OF POSTERIORDISTRIBUTIONS IN NONPARAMETRICPROBLEMSBy

L. Wasserman, A. Barron, M. Schervish, 1996 .

When Several Bayesians Agree That There Will Be No Reasoning to a Foregone Conclusion

Joseph B. Kadane, Teddy Seidenfeld, Mark J. Schervish, 1996, Philosophy of Science.

Two measures of incoherence: How not to Gamble if you must

M. Schervish, J. Kadane, Teddy Seidenfeld, 1998 .

Rethinking the Foundations of Statistics: Decisions Without Ordering

Joseph B. Kadane, Teddy Seidenfeld, Mark J. Schervish, 1990 .

Estimation of arrest careers using hierarchical stochastic models

M. Schervish, A. Blumstein, C. Ahn, 1990 .

Forecasting with imprecise probabilities

Joseph B. Kadane, Teddy Seidenfeld, Mark J. Schervish, 2012, Int. J. Approx. Reason..

Coherent choice functions under uncertainty

Joseph B. Kadane, Teddy Seidenfeld, Mark J. Schervish, 2009, Synthese.

The fundamental theorems of prevision and asset pricing

Joseph B. Kadane, Teddy Seidenfeld, Mark J. Schervish, 2008, Int. J. Approx. Reason..

Some Results on Classifying an Observation Into One of Several Multivariate Normal Populations With Equal Covariance Matrices

M. Schervish, 1979 .

Stopping to Reflect

M. Schervish, J. Kadane, Teddy Seidenfeld, 2004 .

A Conflict between Finite Additivity and Avoiding Dutch Book

Teddy Seidenfeld, Mark J. Schervish, M. Schervish, 1983, Philosophy of Science.

1 Standards for Modest Bayesian Credences

M. Schervish, J. Kadane, Teddy Seidenfeld, 2017 .

Bayesian Learning, Meager Sets and Countably Additive Probabilities: replies to G.Belot and A.Elga

M. Schervish, J. Kadane, Teddy Seidenfeld, 2016 .

Two perspectives on consensus for (Bayesian) inference and decisions

Teddy Seidenfeld, Mark J. Schervish, M. Schervish, 1990, IEEE Trans. Syst. Man Cybern..

Infinite Previsions and Finitely Additive Expectations

M. Schervish, J. Kadane, Teddy Seidenfeld, 2013, 1308.6761.

Proper Scoring Rules, Dominated Forecasts, and Coherence

Joseph B. Kadane, Teddy Seidenfeld, Mark J. Schervish, 2009, Decis. Anal..

Standards for Modest Bayesian Credences

M. Schervish, J. Kadane, Teddy Seidenfeld, 2018, Philosophy of Science.

You have printed the following article : Shared Preferences and State-Dependent Utilities

M. Schervish, J. Kadane, Teddy Seidenfeld, 2008 .

Shared preferences and state-dependent utilities

Joseph B. Kadane, Teddy Seidenfeld, Mark J. Schervish, 1991 .

Preference for equivalent random variables: A price for unbounded utilities

Joseph B. Kadane, Teddy Seidenfeld, Mark J. Schervish, 2009 .

ON THE EQUIVALENCE OF CONGLOMERABILITY AND

M. Schervish, J. Kadane, Teddy Seidenfeld, 2009 .

A Bayesian Approach to a Logistic Regression Model with Incomplete Information

M. Schervish, T. Choi, M. Small, 2008, Biometrics.

A Bayesian Hierarchical method for fitting multiple health endpoints in a toxicity study

Mitchell J. Small, Mark J. Schervish, Taeryon Choi, 2004 .

Addressing uncertainty and conflicting cost estimates in revising the arsenic MCL.

M J Small, M J Schervish, M. Schervish, 2001, Environmental science & technology.

Measuring Incoherence

M. Schervish, J. Kadane, 2002 .

Tolerance regions for random vectors and best linear predictors

M. Schervish, 1980 .

Characterization of Proper and Strictly Proper Scoring Rules for Quantiles

Joseph B. Kadane, Teddy Seidenfeld, Mark J. Schervish, 2012 .

Monitoring multistage integrated circuit fabrication processes

Andrzej J. Strojwas, S.S.P. Rao, John Lehoczky, 1996 .

Extensions of Expected Utility Theory and Some Limitations of Pairwise Comparisons

Isaac Levi, Joseph B. Kadane, Teddy Seidenfeld, 2003, ISIPTA.

When Coherent Preferences May Not Preserve Indifference between Equivalent Random Variables: a Price for Unbounded Utilities.*

M. Schervish, J. Kadane, Teddy Seidenfeld, 2006 .

Instantaneous order impact and high-frequency strategy optimization in limit order books

Mark Schervish, Federico Gonzalez, M. Schervish, 2017, 1707.01167.

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

D. Nychka, M. Schervish, C. Kaufman, 2008 .

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

D. Nychka, M. Schervish, C. Kaufman, 2008 .

Asymptotic expansions for the means and variances of error rates

Mark J. Schervish, M. Schervish, 1981 .

Simultaneous Tests and Confidence Intervals

M. Schervish, 1981 .

State-Dependent Utilities

M. Schervish, J. Kadane, Teddy Seidenfeld, 1990 .

Is ignorance Bliss

M. Schervish, J. Kadane, Teddy Seidenfeld, 2008 .

Is Ignorance Bliss?

M. Schervish, J. Kadane, Teddy Seidenfeld, 1981, Ethics & Medics.

A Sample Document

Bradley P. Carlin, Mark J. Schervish, B. Carlin, 2012 .

Total Evidence and Learning with Imprecise Probabilities

Joseph B. Kadane, Teddy Seidenfeld, Mark J. Schervish, 2021, ISIPTA.

An Efficient Sampling Technique for Bayesian Inference With Computationally Demanding Models

Peter Reichert, Mark J. Schervish, Mitchell J. Small, 2002, Technometrics.