The Banzhaf power index for political games. - Prakash P. Shenoy (Math. Soc. Sci., 1982)

Qualitative Markov networks. - Khaled Mellouli; Glenn Shafer; Prakash P. Shenoy (IPMU, 1986)

Propagation of belief functions: a distributed approach. - Prakash P. Shenoy; Glenn Shafer; Khaled Mellouli (UAI, 1986)

Propagating Belief Functions with Local Computations. - Prakash P. Shenoy; Glenn Shafer (IEEE Expert, 1986)

Modifiable combining functions. - Paul R. Cohen; Glenn Shafer; Prakash P. Shenoy (Artif. Intell. Eng. Des. Anal. Manuf., 1987)

Propagating belief functions in qualitative Markov trees. - Glenn Shafer; Prakash P. Shenoy; Khaled Mellouli (Int. J. Approx. Reason., 1987)

Axioms for probability and belief-function proagation. - Prakash P. Shenoy; Glenn Shafer (UAI, 1988)

A valuation-based language for expert systems. - Prakash P. Shenoy (Int. J. Approx. Reason., 1989)

On Spohn's Theory of Epistemic Beliefs. - Prakash P. Shenoy (IPMU, 1990)

Valuation-based systems for discrete optimisation. - Prakash P. Shenoy (UAI, 1990)

Probability propagation. - Glenn Shafer; Prakash P. Shenoy (Ann. Math. Artif. Intell., 1990)

Belief functions and belief maintenance in artificial intelligence. - Prakash P. Shenoy; Gautam Biswas (Int. J. Approx. Reason., 1990)

A Fusion Algorithm for Solving Bayesian Decision Problems. - Prakash P. Shenoy (UAI, 1991)

On Spohn's rule for revision of beliefs. - Prakash P. Shenoy (Int. J. Approx. Reason., 1991)

Conditional lndependence in Uncertainty Theories. - Prakash P. Shenoy (UAI, 1992)

Valuation-Based Systems for Bayesian Decision Analysis. - Prakash P. Shenoy (Oper. Res., 1992)

Information Sets in Decision Theory. - Prakash P. Shenoy (ECSQARU, 1993)

Valuation Networks and Conditional Independence. - Prakash P. Shenoy (UAI, 1993)

Discussion of Kyburg's "Believing on the Basis of Evidence". - Prakash P. Shenoy (Comput. Intell., 1994)

Conditional independence in valuation-based systems. - Prakash P. Shenoy (Int. J. Approx. Reason., 1994)

Representing Conditional Independence Relations by Valuation Networks. - Prakash P. Shenoy (Int. J. Uncertain. Fuzziness Knowl. Based Syst., 1994)

Consistency in Valuation-Based Systems. - Prakash P. Shenoy (INFORMS J. Comput., 1994)

Representing and Solving Asymmetric Decision Problems Using Valuation Networks. - Prakash P. Shenoy (AISTATS, 1995)

A New Pruning Method for Solving Decision Trees and Game Trees. - Prakash P. Shenoy (UAI, 1995)

Propagating belief functions in AND-trees. - Rajendra P. Srivastava; Prakash P. Shenoy; Glenn R. Shafer (Int. J. Intell. Syst., 1995)

Binary Join Trees. - Prakash P. Shenoy (UAI, 1996)

A Comparison of Decision Trees, Influence Diagrams and Valuation Networks for Asymmetric Decision Problems. - Concha Bielza; Prakash P. Shenoy (AISTATS, 1997)

A Forward Monte Carlo Method for Solving Influence Diagrams using local Computation. - John M. Charnes; Prakash P. Shenoy (AISTATS, 1997)

Binary join trees for computing marginals in the Shenoy-Shafer architecture. - Prakash P. Shenoy (Int. J. Approx. Reason., 1997)

A Comparison of Lauritzen-Spiegelhalter, Hugin, and Shenoy-Shafer Architectures for Computing Marginals of Probability Distributions. - Vasilica Lepar; Prakash P. Shenoy (UAI, 1998)

Some Improvements to the Shenoy-Shafer and Hugin Architectures for Computing Marginals. - Tuija Schmidt; Prakash P. Shenoy (Artif. Intell., 1998)

On Transformations between Probability and Spolinian Disbelief Functions. - Phan Hong Giang; Prakash P. Shenoy (UAI, 1999)

A Qualitative Linear Utility Theory for Spohn's Theory of Epistemic Beliefs. - Phan Hong Giang; Prakash P. Shenoy (UAI, 2000)

Valuation network representation and solution of asymmetric decision problems. - Prakash P. Shenoy (Eur. J. Oper. Res., 2000)

Sequential Valuation Networks: A New Graphical Technique for Asymmetric Decision Problems. - Riza Demirer; Prakash P. Shenoy (ECSQARU, 2001)

A Comparison of Axiomatic Approaches to Qualitative Decision Making Using Possibility Theory. - Phan Hong Giang; Prakash P. Shenoy (UAI, 2001)

A Bayesian network approach to making inferences in causal maps. - Sucheta Nadkarni; Prakash P. Shenoy (Eur. J. Oper. Res., 2001)

Statistical Decisions Using Likelihood Information Without Prior Probabilities. - Phan Hong Giang; Prakash P. Shenoy (UAI, 2002)

A Comparison of Methods for Transforming Belief Function Models to Probability Models. - Barry R. Cobb; Prakash P. Shenoy (ECSQARU, 2003)

Decision Making with Partially Consonant Belief Functions. - Phan Hong Giang; Prakash P. Shenoy (UAI, 2003)

A Linear Belief Function Approach to Portfolio Evaluation. - Liping Liu; Catherine Shenoy; Prakash P. Shenoy (UAI, 2003)

A Comparison of Bayesian and Belief Function Reasoning. - Barry R. Cobb; Prakash P. Shenoy (Inf. Syst. Frontiers, 2003)

Application of Uncertain Reasoning to Business Decisions: An Introduction. - Prakash P. Shenoy; Rajendra P. Srivastava (Inf. Syst. Frontiers, 2003)

Hybrid Influence Diagrams Using Mixtures of Truncated Exponentials. - Barry R. Cobb; Prakash P. Shenoy (UAI, 2004)

Representing asymmetric decision problems using coarse valuations. - Liping Liu; Prakash P. Shenoy (Decis. Support Syst., 2004)

A causal mapping approach to constructing Bayesian networks. - Sucheta Nadkarni; Prakash P. Shenoy (Decis. Support Syst., 2004)

Multistage Monte Carlo Method for Solving Influence Diagrams Using Local Computation. - John M. Charnes; Prakash P. Shenoy (Manag. Sci., 2004)

Nonlinear Deterministic Relationships in Bayesian Networks. - Barry R. Cobb; Prakash P. Shenoy (ECSQARU, 2005)

No Double Counting Semantics for Conditional Independence. - Prakash P. Shenoy (ISIPTA, 2005)

Hybrid Bayesian Networks with Linear Deterministic Variables. - Barry R. Cobb; Prakash P. Shenoy (UAI, 2005)

Decision making on the sole basis of statistical likelihood. - Phan Hong Giang; Prakash P. Shenoy (Artif. Intell., 2005)

Two axiomatic approaches to decision making using possibility theory. - Phan Hong Giang; Prakash P. Shenoy (Eur. J. Oper. Res., 2005)

Inference in Hybrid Bayesian Networks Using Mixtures of Gaussians. - Prakash P. Shenoy (UAI, 2006)

Sequential valuation networks for asymmetric decision problems. - Riza Demirer; Prakash P. Shenoy (Eur. J. Oper. Res., 2006)

Inference in hybrid Bayesian networks with mixtures of truncated exponentials. - Barry R. Cobb; Prakash P. Shenoy (Int. J. Approx. Reason., 2006)

On the plausibility transformation method for translating belief function models to probability models. - Barry R. Cobb; Prakash P. Shenoy (Int. J. Approx. Reason., 2006)

Operations for inference in continuous Bayesian networks with linear deterministic variables. - Barry R. Cobb; Prakash P. Shenoy (Int. J. Approx. Reason., 2006)

Sequential influence diagrams: A unified asymmetry framework. - Finn Verner Jensen; Thomas D. Nielsen; Prakash P. Shenoy (Int. J. Approx. Reason., 2006)

Approximating probability density functions in hybrid Bayesian networks with mixtures of truncated exponentials. - Barry R. Cobb; Prakash P. Shenoy; Rafael Rumí (Stat. Comput., 2006)

Knowledge representation and integration for portfolio evaluation using linear belief functions. - Liping Liu; Catherine Shenoy; Prakash P. Shenoy (IEEE Trans. Syst. Man Cybern. Part A, 2006)

Use of Radio Frequency Identification for Targeted Advertising: A Collaborative Filtering Approach Using Bayesian Networks. - Esma Nur Cinicioglu; Prakash P. Shenoy; Canan Kocabasoglu (ECSQARU, 2007)

Using Bayesian networks for bankruptcy prediction: Some methodological issues. - Lili Sun; Prakash P. Shenoy (Eur. J. Oper. Res., 2007)

Decision making with hybrid influence diagrams using mixtures of truncated exponentials. - Barry R. Cobb; Prakash P. Shenoy (Eur. J. Oper. Res., 2008)

Axioms for Probability and Belief-Function Propagation. - Prakash P. Shenoy; Glenn Shafer (Classic Works of the Dempster-Shafer Theory of Belief Functions, 2008)

Inference in Hybrid Bayesian Networks with Deterministic Variables. - Prakash P. Shenoy; James C. West 001 (ECSQARU, 2009)

Arc reversals in hybrid Bayesian networks with deterministic variables. - Esma Nur Cinicioglu; Prakash P. Shenoy (Int. J. Approx. Reason., 2009)

Solving Hybrid Influence Diagrams with Deterministic Variables. - Yijing Li; Prakash P. Shenoy (UAI, 2010)

Modeling challenges with influence diagrams: Constructing probability and utility models. - Concha Bielza; Manuel Gómez; Prakash P. Shenoy (Decis. Support Syst., 2010)

A Re-definition of Mixtures of Polynomials for Inference in Hybrid Bayesian Networks. - Prakash P. Shenoy (ECSQARU, 2011)

Some practical issues in inference in hybrid Bayesian networks with deterministic conditionals. - Prakash P. Shenoy; Rafael Rumí; Antonio Salmerón (ISDA, 2011)

A decision theory for partially consonant belief functions. - Phan Hong Giang; Prakash P. Shenoy (Int. J. Approx. Reason., 2011)

Inference in hybrid Bayesian networks using mixtures of polynomials. - Prakash P. Shenoy; James C. West 001 (Int. J. Approx. Reason., 2011)

Extended Shenoy-Shafer architecture for inference in hybrid bayesian networks with deterministic conditionals. - Prakash P. Shenoy; James C. West 001 (Int. J. Approx. Reason., 2011)

Conditioning in Decomposable Compositional Models in Valuation-Based Systems. - Radim Jirousek; Prakash P. Shenoy (IPMU (4), 2012)

A Framework for Solving Hybrid Influence Diagrams Containing Deterministic Conditional Distributions. - Yijing Li; Prakash P. Shenoy (Decis. Anal., 2012)

Two issues in using mixtures of polynomials for inference in hybrid Bayesian networks. - Prakash P. Shenoy (Int. J. Approx. Reason., 2012)

On Transformations between Probability and Spohnian Disbelief Functions - Phan Hong Giang; Prakash P. Shenoy (CoRR, 2013)

Conditional Independence in Uncertainty Theories - Prakash P. Shenoy (CoRR, 2013)

Valuation-Based Systems for Discrete Optimization - Prakash P. Shenoy; Glenn Shafer (CoRR, 2013)

An Axiomatic Framework for Bayesian and Belief-function Propagation - Prakash P. Shenoy; Glenn Shafer (CoRR, 2013)

Proceedings of the Thirteenth Conference on Uncertainty in Artificial Intelligence (1997) - Dan Geiger; Prakash P. Shenoy (CoRR, 2013)

Causal Compositional Models in Valuation-Based Systems. - Radim Jirousek; Prakash P. Shenoy (Belief Functions, 2014)

Compositional models in valuation-based systems. - Radim Jirousek; Prakash P. Shenoy (Int. J. Approx. Reason., 2014)

Practical Aspects of Solving Hybrid Bayesian Networks Containing Deterministic Conditionals. - Prakash P. Shenoy; Rafael Rumí; Antonio Salmerón (Int. J. Intell. Syst., 2015)

Entropy of Belief Functions in the Dempster-Shafer Theory: A New Perspective. - Radim Jirousek; Prakash P. Shenoy (BELIEF, 2016)

On Construction of Hybrid Logistic Regression-Naïve Bayes Model for Classification. - Yi Tan; Prakash P. Shenoy; Moses W. Chan; Paul M. Romberg (Probabilistic Graphical Models, 2016)

A new heuristic for learning Bayesian networks from limited datasets: a real-time recommendation system application with RFID systems in grocery stores. - Esma Nur Cinicioglu; Prakash P. Shenoy (Ann. Oper. Res., 2016)

Causal compositional models in valuation-based systems with examples in specific theories. - Radim Jirousek; Prakash P. Shenoy (Int. J. Approx. Reason., 2016)

Ambiguity aversion and a decision-theoretic framework using belief functions. - Radim Jirousek; Prakash P. Shenoy (SSCI, 2017)

On computing probabilities of dismissal of 10b-5 securities class-action cases. - Sumanta Singha; Steve Hillmer; Prakash P. Shenoy (Decis. Support Syst., 2017)

Inference in Hybrid Bayesian Networks with Nonlinear Deterministic Conditionals. - Barry R. Cobb; Prakash P. Shenoy (Int. J. Intell. Syst., 2017)

A Decomposable Entropy of Belief Functions in the Dempster-Shafer Theory. - Radim Jirousek; Prakash P. Shenoy (BELIEF, 2018)

Combination and Composition in Probabilistic Models. - Radim Jirousek; Prakash P. Shenoy (ECONVN, 2018)

A new definition of entropy of belief functions in the Dempster-Shafer theory. - Radim Jirousek; Prakash P. Shenoy (Int. J. Approx. Reason., 2018)

An adaptive heuristic for feature selection based on complementarity. - Sumanta Singha; Prakash P. Shenoy (Mach. Learn., 2018)

An Axiomatic Utility Theory for Dempster-Shafer Belief Functions. - Thierry Denoeux; Prakash P. Shenoy (ISIPTA, 2019)

Evidence gathering for hypothesis resolution using judicial evidential reasoning. - Andris Davis Jaunzemis; Marcus J. Holzinger; Moses W. Chan; Prakash P. Shenoy (Inf. Fusion, 2019)

An interval-valued utility theory for decision making with Dempster-Shafer belief functions. - Thierry Denoeux; Prakash P. Shenoy (Int. J. Approx. Reason., 2020)

On properties of a new decomposable entropy of Dempster-Shafer belief functions. - Radim Jirousek; Prakash P. Shenoy (Int. J. Approx. Reason., 2020)

A bias-variance based heuristic for constructing a hybrid logistic regression-naïve Bayes model for classification. - Yi Tan; Prakash P. Shenoy (Int. J. Approx. Reason., 2020)

An expectation operator for belief functions in the Dempster-Shafer theory. - Prakash P. Shenoy (Int. J. Gen. Syst., 2020)

Entropy-Based Learning of Compositional Models from Data. - Radim Jirousek; Václav Kratochvíl; Prakash P. Shenoy (BELIEF, 2021)

On Conditional Belief Functions in the Dempster-Shafer Theory. - Radim Jirousek; Václav Kratochvíl; Prakash P. Shenoy (BELIEF, 2022)

Probability and statistics: Foundations and history. Special Issue in honor of Glenn Shafer. - John C. Aldrich; A. Philip Dawid; Thierry Denoeux; Prakash P. Shenoy; Vladimir Vovk (Int. J. Approx. Reason., 2022)

Glenn Shafer - A short biography. - John C. Aldrich; A. Philip Dawid; Thierry Denoeux; Prakash P. Shenoy; Vladimir Vovk (Int. J. Approx. Reason., 2022)

Entropy for evaluation of Dempster-Shafer belief function models. - Radim Jirousek; Václav Kratochvíl; Prakash P. Shenoy (Int. J. Approx. Reason., 2022)

On the relationship between graphical and compositional models for the Dempster-Shafer theory of belief functions. - Radim Jirousek; Václav Kratochvíl; Prakash P. Shenoy (ISIPTA, 2023)

On distinct belief functions in the Dempster-Shafer theory. - Prakash P. Shenoy (ISIPTA, 2023)

On conditional belief functions in directed graphical models in the Dempster-Shafer theory. - Radim Jirousek; Václav Kratochvíl; Prakash P. Shenoy (Int. J. Approx. Reason., 2023)

Making inferences in incomplete Bayesian networks: A Dempster-Shafer belief function approach. - Prakash P. Shenoy (Int. J. Approx. Reason., 2023)

Computing the decomposable entropy of belief-function graphical models. - Radim Jirousek; Václav Kratochvíl; Prakash P. Shenoy (Int. J. Approx. Reason., 2023)

Mutual Information and Kullback-Leibler Divergence in the Dempster-Shafer Theory. - Prakash P. Shenoy (BELIEF, 2024)

A naïve Bayes regularized logistic regression estimator for low-dimensional classification. - Yi Tan; Ben Sherwood; Prakash P. Shenoy (Int. J. Approx. Reason., 2024)

Bayesian Network Models for PTSD Screening in Veterans. - Yi Tan; Prakash P. Shenoy; Ben Sherwood; Catherine Shenoy; Melinda Gaddy; Mary E. Oehlert (INFORMS J. Comput., 2024)