Two perspectives on consensus for (Bayesian) inference and decisions. - Teddy Seidenfeld; Mark J. Schervish (IEEE Trans. Syst. Man Cybern., 1990)

How Many Comparisons Does Quicksort Use? - William F. Eddy; Mark J. Schervish (J. Algorithms, 1995)

How Sets of Coherent Probabilities May Serve as Models for Degrees of Incoherence. - Mark J. Schervish; Teddy Seidenfeld; Joseph B. Kadane (Int. J. Uncertain. Fuzziness Knowl. Based Syst., 2000)

Probabilistic methods for robotic landmine search. - Yangang Zhang; Mark J. Schervish; Ercan U. Acar; Howie Choset (IROS, 2001)

Probabilistic hierarchical spatial model for mine locations and its application in robotic landmine search. - Yangang Zhang; Mark J. Schervish; Howie Choset (IROS, 2002)

An Efficient Sampling Technique for Bayesian Inference With Computationally Demanding Models. - Peter Reichert; Mark J. Schervish; Mitchell J. Small (Technometrics, 2002)

Extensions of Expected Utility Theory and Some Limitations of Pairwise Comparisons. - Mark J. Schervish; Teddy Seidenfeld; Joseph B. Kadane; Isaac Levi (ISIPTA, 2003)

Nonstationary Covariance Functions for Gaussian Process Regression. - Christopher J. Paciorek; Mark J. Schervish (NIPS, 2003)

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 (Int. J. Robotics Res., 2003)

The fundamental theorems of prevision and asset pricing. - Mark J. Schervish; Teddy Seidenfeld; Joseph B. Kadane (Int. J. Approx. Reason., 2008)

Proper Scoring Rules, Dominated Forecasts, and Coherence. - Mark J. Schervish; Teddy Seidenfeld; Joseph B. Kadane (Decis. Anal., 2009)

Coherent choice functions under uncertainty. - Teddy Seidenfeld; Mark J. Schervish; Joseph B. Kadane (Synth., 2010)

Generalization error bounds for stationary autoregressive models - Daniel J. McDonald; Cosma Rohilla Shalizi; Mark J. Schervish (CoRR, 2011)

Risk bounds for time series without strong mixing - Daniel J. McDonald; Cosma Rohilla Shalizi; Mark J. Schervish (CoRR, 2011)

Estimating beta-mixing coefficients. - Daniel J. McDonald; Cosma Rohilla Shalizi; Mark J. Schervish (AISTATS, 2011)

Time series forecasting: model evaluation and selection using nonparametric risk bounds - Daniel J. McDonald; Cosma Rohilla Shalizi; Mark J. Schervish (CoRR, 2012)

Forecasting with imprecise probabilities. - Teddy Seidenfeld; Mark J. Schervish; Joseph B. Kadane (Int. J. Approx. Reason., 2012)

On the equivalence of conglomerability and disintegrability for unbounded random variables. - Mark J. Schervish; Teddy Seidenfeld; Joseph B. Kadane (Stat. Methods Appl., 2014)

Nonparametric Risk Bounds for Time-Series Forecasting. - Daniel J. McDonald; Cosma Rohilla Shalizi; Mark J. Schervish (J. Mach. Learn. Res., 2017)

Nonconglomerability for countably additive Measures that are not κ-additive. - Mark J. Schervish; Teddy Seidenfeld; Joseph B. Kadane (Rev. Symb. Log., 2017)

Total Evidence and Learning with Imprecise Probabilities. - Ruobin Gong; Joseph B. Kadane; Mark J. Schervish; Teddy Seidenfeld (ISIPTA, 2021)

Learning and total evidence with imprecise probabilities. - Ruobin Gong; Joseph B. Kadane; Mark J. Schervish; Teddy Seidenfeld; Rafael Bassi Stern (Int. J. Approx. Reason., 2022)

Elicitation for sets of probabilities and distributions. - Mark J. Schervish; Teddy Seidenfeld; Ruobin Gong; Joseph B. Kadane; Rafael Bassi Stern (ISIPTA, 2025)

When no Price is Right. - Mark J. Schervish; Teddy Seidenfeld; Joseph B. Kadane; Ruobin Gong; Rafael Bassi Stern (Rev. Symb. Log., 2025)