Mark J. Schervish

According to our database1, Mark J. Schervish authored at least 22 papers between 1990 and 2022.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2022
Learning and total evidence with imprecise probabilities.
Int. J. Approx. Reason., 2022

2021
Total Evidence and Learning with Imprecise Probabilities.
Proceedings of the International Symposium on Imprecise Probability: Theories and Applications, 2021

2017
Nonconglomerability for countably additive Measures that are not κ-additive.
Rev. Symb. Log., 2017

Nonparametric Risk Bounds for Time-Series Forecasting.
J. Mach. Learn. Res., 2017

2014
On the equivalence of conglomerability and disintegrability for unbounded random variables.
Stat. Methods Appl., 2014

2012
Forecasting with imprecise probabilities.
Int. J. Approx. Reason., 2012

Time series forecasting: model evaluation and selection using nonparametric risk bounds
CoRR, 2012

2011
Estimating beta-mixing coefficients.
Proceedings of the Fourteenth International Conference on Artificial Intelligence and Statistics, 2011

Risk bounds for time series without strong mixing
CoRR, 2011

Generalization error bounds for stationary autoregressive models
CoRR, 2011

2010
Coherent choice functions under uncertainty.
Synth., 2010

2009
Proper Scoring Rules, Dominated Forecasts, and Coherence.
Decis. Anal., 2009

2008
The fundamental theorems of prevision and asset pricing.
Int. J. Approx. Reason., 2008

2003
Path Planning for Robotic Demining: Robust Sensor-based Coverage of Unstructured Environments and Probabilistic Methods.
Int. J. Robotics Res., 2003

Nonstationary Covariance Functions for Gaussian Process Regression.
Proceedings of the Advances in Neural Information Processing Systems 16 [Neural Information Processing Systems, 2003

Extensions of Expected Utility Theory and Some Limitations of Pairwise Comparisons.
Proceedings of the ISIPTA '03, 2003

2002
An Efficient Sampling Technique for Bayesian Inference With Computationally Demanding Models.
Technometrics, 2002

Probabilistic hierarchical spatial model for mine locations and its application in robotic landmine search.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, Lausanne, Switzerland, September 30, 2002

2001
Probabilistic methods for robotic landmine search.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2001

2000
How Sets of Coherent Probabilities May Serve as Models for Degrees of Incoherence.
Int. J. Uncertain. Fuzziness Knowl. Based Syst., 2000

1995
How Many Comparisons Does Quicksort Use?
J. Algorithms, 1995

1990
Two perspectives on consensus for (Bayesian) inference and decisions.
IEEE Trans. Syst. Man Cybern., 1990


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