Mark J. Schervish

Publication Activity (10 Years)

Years Active: 1990-2022
Publications (10 Years): 4

Top Topics

Conditional Distributions

Imprecise Probabilities

Joint Probability Distribution

Top Venues

Int. J. Approx. Reason.

J. Mach. Learn. Res.

Stat. Methods Appl.

Publications

Ruobin Gong, Joseph B. Kadane, Mark J. Schervish, Teddy Seidenfeld, Rafael Bassi Stern
Learning and total evidence with imprecise probabilities. Int. J. Approx. Reason. 151 (2022)
Ruobin Gong, Joseph B. Kadane, Mark J. Schervish, Teddy Seidenfeld
Total Evidence and Learning with Imprecise Probabilities. ISIPTA (2021)
Daniel J. McDonald, Cosma Rohilla Shalizi, Mark J. Schervish
Nonparametric Risk Bounds for Time-Series Forecasting. J. Mach. Learn. Res. 18 (2017)
Mark J. Schervish, Teddy Seidenfeld, Joseph B. Kadane
Nonconglomerability for countably additive Measures that are not κ-additive. Rev. Symb. Log. 10 (2) (2017)
Mark J. Schervish, Teddy Seidenfeld, Joseph B. Kadane
On the equivalence of conglomerability and disintegrability for unbounded random variables. Stat. Methods Appl. 23 (4) (2014)
Daniel J. McDonald, Cosma Rohilla Shalizi, Mark J. Schervish
Time series forecasting: model evaluation and selection using nonparametric risk bounds CoRR (2012)
Teddy Seidenfeld, Mark J. Schervish, Joseph B. Kadane
Forecasting with imprecise probabilities. Int. J. Approx. Reason. 53 (8) (2012)
Daniel J. McDonald, Cosma Rohilla Shalizi, Mark J. Schervish
Generalization error bounds for stationary autoregressive models CoRR (2011)
Daniel J. McDonald, Cosma Rohilla Shalizi, Mark J. Schervish
Estimating beta-mixing coefficients. AISTATS (2011)
Daniel J. McDonald, Cosma Rohilla Shalizi, Mark J. Schervish
Estimating beta-mixing coefficients CoRR (2011)
Daniel J. McDonald, Cosma Rohilla Shalizi, Mark J. Schervish
Risk bounds for time series without strong mixing CoRR (2011)
Teddy Seidenfeld, Mark J. Schervish, Joseph B. Kadane
Coherent choice functions under uncertainty. Synth. 172 (1) (2010)
Mark J. Schervish, Teddy Seidenfeld, Joseph B. Kadane
Proper Scoring Rules, Dominated Forecasts, and Coherence. Decis. Anal. 6 (4) (2009)
Mark J. Schervish, Teddy Seidenfeld, Joseph B. Kadane
The fundamental theorems of prevision and asset pricing. Int. J. Approx. Reason. 49 (1) (2008)
Christopher J. Paciorek, Mark J. Schervish
Nonstationary Covariance Functions for Gaussian Process Regression. NIPS (2003)
Ercan U. Acar, Howie Choset, Yangang Zhang, Mark J. Schervish
Path Planning for Robotic Demining: Robust Sensor-based Coverage of Unstructured Environments and Probabilistic Methods. Int. J. Robotics Res. 22 (7-8) (2003)
Mark J. Schervish, Teddy Seidenfeld, Joseph B. Kadane, Isaac Levi
Extensions of Expected Utility Theory and Some Limitations of Pairwise Comparisons. ISIPTA (2003)
Peter Reichert, Mark J. Schervish, Mitchell J. Small
An Efficient Sampling Technique for Bayesian Inference With Computationally Demanding Models. Technometrics 44 (4) (2002)
Yangang Zhang, Mark J. Schervish, Howie Choset
Probabilistic hierarchical spatial model for mine locations and its application in robotic landmine search. IROS (2002)
Yangang Zhang, Mark J. Schervish, Ercan U. Acar, Howie Choset
Probabilistic methods for robotic landmine search. IROS (2001)
Mark J. Schervish, Teddy Seidenfeld, Joseph B. Kadane
How Sets of Coherent Probabilities May Serve as Models for Degrees of Incoherence. Int. J. Uncertain. Fuzziness Knowl. Based Syst. 8 (3) (2000)
Yangang Zhang, Mark J. Schervish, Ercan U. Acar, Howie Choset
Probabilistic methods for robotic landmine search. Mobile Robots / Telemanipulator and Telepresence Technologies (2000)
Mark J. Schervish, Teddy Seidenfeld, Joseph B. Kadane
How Sets of Coherent Probabilities may Serve as Models for Degrees of Incoherence. ISIPTA (1999)
William F. Eddy, Mark J. Schervish
How Many Comparisons Does Quicksort Use? J. Algorithms 19 (3) (1995)
Teddy Seidenfeld, Mark J. Schervish
Two perspectives on consensus for (Bayesian) inference and decisions. IEEE Trans. Syst. Man Cybern. 20 (2) (1990)