P. P. Shenoy

发表

A comparison of graphical techniques for decision analysis

Prakash P. Shenoy, P. P. Shenoy, 1994 .

A Online Appendix To Accompany “ Multi-stage Monte Carlo Method for Solving Influence Diagrams Using Local Computation

J. Charnes, P. P. Shenoy, 2003 .

Valuation Networks and Conditional Independence

Prakash P. Shenoy, P. P. Shenoy, 1993, Conference on Uncertainty in Artificial Intelligence.

Using possibility theory in expert systems

Prakash P. Shenoy, P. P. Shenoy, 1992 .

Using Dempster-Shafer's belief-function theory in expert systems

Prakash P. Shenoy, P. P. Shenoy, 1992, Defense, Security, and Sensing.

Bayesian Network Models of Portfolio Risk and Return

P. P. Shenoy, C. Shenoy, 2000 .

Nonlinear Deterministic Relationships in Bayesian Networks

Prakash P. Shenoy, Barry R. Cobb, P. P. Shenoy, 2005, ECSQARU.

Modeling Nonlinear Deterministic Relationships in Bayesian Networks ∗

P. P. Shenoy, B. Cobb, 2005 .

Axioms for probability and belief-function proagation

Prakash P. Shenoy, Glenn Shafer, G. Shafer, 1990, UAI.

Approximating probability density functions in hybrid Bayesian networks with mixtures of truncated exponentials

Prakash P. Shenoy, Rafael Rumí, Barry R. Cobb, 2006, Stat. Comput..

Valuation-Based Systems for Bayesian Decision Analysis

Prakash P. Shenoy, P. P. Shenoy, Prakash P. Shenoy, 1992, Oper. Res..

Judicial Evidential Reasoning for Decision Support Applied to Orbit Insertion Failure

Moses W. Chan, P. P. Shenoy, K. Feigh, 2017 .

Statistical Decisions Using Likelihood Information Without Prior Probabilities pdf

Phan Hong Giang, Prakash P. Shenoy, P. P. Shenoy, 2002, UAI.

USING MIXTURES of TRUNCATED EXPONENTIALS for SOLVING STOCHASTIC PERT NETWORKS

Esma Nur Cinicioglu, P. P. Shenoy, 2009 .

Piecewise Linear Approximations of Nonlinear Deterministic Conditionals in Continuous Bayesian Networks

P. P. Shenoy, B. Cobb, 2012 .

Use of Radio Frequency Identification for Targeted Advertising: A Collaborative Filtering Approach Using Bayesian Networks

Prakash P. Shenoy, Esma Nur Cinicioglu, Canan Kocabasoglu, 2007, ECSQARU.

Tractable Inference in Hybrid Bayesian Networks with Deterministic Conditionals using Re-approximations

P. P. Shenoy, Rafael Rum, 2012 .

On Construction of Hybrid Logistic Regression-Naïve Bayes Model for Classification

Prakash P. Shenoy, Yi Tan, Moses W. Chan, 2016, Probabilistic Graphical Models.

On computing probabilities of dismissal of 10b-5 securities class-action cases

Prakash P. Shenoy, Steven C. Hillmer, Sumanta Singha, 2017, Decis. Support Syst..

Probability propagation

Prakash P. Shenoy, Glenn Shafer, G. Shafer, 1990, Annals of Mathematics and Artificial Intelligence.

Uncertainty in artificial intelligence : proceedings of the Thirteenth Conference (1997) : August 1-3, 1997, Brown University, Providence, Rhode Island, USA

D. Geiger, Eric Horvitz, P. P. Shenoy, 1997 .

On Transforming Belief Function Models to Probability Models

P. P. Shenoy, B. Cobb, 2003 .

Using Bayesian networks for bankruptcy prediction: Some methodological issues

Prakash P. Shenoy, Lili Sun, P. P. Shenoy, 2007, Eur. J. Oper. Res..

A Note on Factorization of Belief Functions

R. Jirousek, P. P. Shenoy, 2011 .

A review of representation issues and modeling challenges with influence diagrams

C. Bielza, P. P. Shenoy, Manuel Gómez, 2011 .

MANAGING VENTURE CAPITAL INVESTMENT DECISIONS : A KNOWLEDGE-BASED APPROACH

Prakash P. Shenoy, P. P. Shenoy, S. Mishra, 2001 .

Valuation Networks and Conditional Independence 191 Valuation Networks and Conditional Independence

P. P. Shenoy, 2011 .

Mixtures of Polynomials in Hybrid B ayesian Networks with Deterministic Variables

Prakash P. Shenoy, James C. West, P. P. Shenoy, 2009 .

Approximating Probability Density Functions with Mixtures of Truncated Exponentials

Prakash P. Shenoy, Rafael Rumí, Barry R. Cobb, 2004 .

Computation in Valuation Algebras

Prakash P. Shenoy, Jürg Kohlas, P. P. Shenoy, 2000 .

Game Trees For Decision Analysis

Prakash P. Shenoy, P. P. Shenoy, 1998 .

BAYESIAN CAUSAL MAPS AS DECISION AIDS IN VENTURE CAPITAL DECISION MAKING: METHODS AND APPLICATIONS.

Prakash P. Shenoy, Sanjay Mishra, P. P. Shenoy, 2002 .

COMPUTING MARGINALS USING LOCAL COMPUTATION

Prakash P. Shenoy, Steffen L. Lauritzen, S. Lauritzen, 1996 .

MODELING FINANCIAL PORTFOLIOS USING BELIEF FUNCTIONS

Prakash P. Shenoy, Catherine Shenoy, P. P. Shenoy, 2002 .

A decision theory for non-probabilistic uncertainty and its applications

P. P. Shenoy, P. Giang, 2003 .

AAS 19-534 REAL-TIME TELESCOPE TASKING FOR CUSTODY AND ANOMALY RESOLUTION USING JUDICIAL EVIDENTIAL REASONING

Daniel Aguilar Marsillach, P. P. Shenoy, M. Holzinger, 2019 .

A two-person non-zero-sum game model of the world oil market

P. P. Shenoy, 1980 .

A theory of coarse utility

Prakash P. Shenoy, P. P. Shenoy, Liping Liu, 1995 .

A three-person cooperative game formulation of the world oil market

P. P. Shenoy, 1980 .

Qualitative Markov networks

Khaled Mellouli, Prakash P. Shenoy, Glenn Shafer, 1986, IPMU.

A Forward Monte Carlo Method For Solving Influence Diagrams Using Local Computation

Prakash P. Shenoy, J. Charnes, P. P. Shenoy, 2000 .

A new method for representing and solving Bayesian decision problems

Prakash P. Shenoy, P. P. Shenoy, 1993 .

Probabilistic Semantics of Belief Functions in the Dempster-Shafer Theory

Prakash P. Shenoy, P. P. Shenoy, 2012 .

Valuation-based systems: a framework for managing uncertainty in expert systems

Prakash P. Shenoy, P. P. Shenoy, Prakash P. Shenoy, 1992 .

Valuation-based systems for propositional logic

Prakash P. Shenoy, P. P. Shenoy, 1991 .

Conditional lndependence in Uncertainty Theories

Prakash P. Shenoy, P. P. Shenoy, 1992, UAI.

Compositional models in valuation-based systems

Prakash P. Shenoy, Radim Jirousek, R. Jirousek, 2012, International Journal of Approximate Reasoning.

A decision theory for partially consonant belief functions

Phan Hong Giang, Prakash P. Shenoy, P. P. Shenoy, 2011, Int. J. Approx. Reason..

Entropy-Based Learning of Compositional Models from Data

Václav Kratochvíl, Prakash P. Shenoy, Radim Jirousek, 2021, BELIEF.

On Committee Decision Making: A Game Theoretical Approach

Prakash P. Shenoy, P. P. Shenoy, 1980 .

On Game Theory and Coalition Formation.

P. P. Shenoy, 1977 .

On Walley's Combination Rule for Statistical Evidence

Esma Nur Cinicioglu, P. P. Shenoy, 2006 .

Entropy for evaluation of Dempster-Shafer belief function models

R. Jirousek, P. P. Shenoy, V. Kratochvíl, 2022, International Journal of Approximate Reasoning.

Uncertainty in artificial intelligence : proceedings of the fourteenth Conference (1998) : July 24-26, 1998, University of Wisconsin, Madison, Wisconsin, USA

Gregory F. Cooper, Serafín Moral, G. Cooper, 1998 .

On Conditional Belief Functions in the Dempster-Shafer Theory

R. Jirousek, P. P. Shenoy, V. Kratochvíl, 2022, BELIEF.

A Bayesian network approach to making inferences in causal maps

Prakash P. Shenoy, Sucheta Nadkarni, P. P. Shenoy, 2001, Eur. J. Oper. Res..

Sequential valuation networks for asymmetric decision problems

Riza Demirer, Prakash P. Shenoy, P. P. Shenoy, 2006, Eur. J. Oper. Res..

Multistage Monte Carlo Method for Solving Influence Diagrams Using Local Computation

Prakash P. Shenoy, John M. Charnes, J. M. Charnes, 2004, Manag. Sci..

Sequential Valuation Networks: A New Graphical Technique for Asymmetric Decision Problems

Riza Demirer, Prakash P. Shenoy, P. P. Shenoy, 2001, ECSQARU.

Information Sets in Decision Theory

Prakash P. Shenoy, P. P. Shenoy, 1993, ECSQARU.

A valuation-based language for expert systems

Prakash P. Shenoy, P. P. Shenoy, 1989, Int. J. Approx. Reason..

Modeling challenges with influence diagrams: Constructing probability and utility models

Concha Bielza, Prakash P. Shenoy, Manuel Gómez, 2010, Decis. Support Syst..

Decision making on the sole basis of statistical likelihood

Phan Hong Giang, Prakash P. Shenoy, P. P. Shenoy, 2005, Artif. Intell..

Two axiomatic approaches to decision making using possibility theory

Phan Hong Giang, Prakash P. Shenoy, P. P. Shenoy, 2005, Eur. J. Oper. Res..

A Comparison of Axiomatic Approaches to Qualitative Decision Making Using Possibility Theory

Phan Hong Giang, Prakash P. Shenoy, P. P. Shenoy, 2001, UAI.

Valuation network representation and solution of asymmetric decision problems

Prakash P. Shenoy, P. P. Shenoy, 2000, Eur. J. Oper. Res..

On Transformations between Probability and Spolinian Disbelief Functions pdf

Phan Hong Giang, Prakash P. Shenoy, P. P. Shenoy, 1999, UAI.

A Qualitative Linear Utility Theory for Spohn's Theory of Epistemic Beliefs

Phan Hong Giang, Prakash P. Shenoy, P. P. Shenoy, 2000, UAI.

A new heuristic for learning Bayesian networks from limited datasets: a real-time recommendation system application with RFID systems in grocery stores

Prakash P. Shenoy, Esma Nur Cinicioglu, P. P. Shenoy, 2012, Annals of Operations Research.

A causal mapping approach to constructing Bayesian networks

Prakash P. Shenoy, Sucheta Nadkarni, P. P. Shenoy, 2004, Decis. Support Syst..

Attitude Formation Models: Insights from TETRAD

Prakash P. Shenoy, Sanjay Mishra, P. P. Shenoy, 1994 .

Extended Shenoy-Shafer architecture for inference in hybrid bayesian networks with deterministic conditionals

Prakash P. Shenoy, James C. West, P. P. Shenoy, 2011, Int. J. Approx. Reason..

Inference in Hybrid Bayesian Networks with Deterministic Variables

Prakash P. Shenoy, James C. West, P. P. Shenoy, 2009, ECSQARU.

Decision making with hybrid influence diagrams using mixtures of truncated exponentials

Prakash P. Shenoy, Barry R. Cobb, P. P. Shenoy, 2004, Eur. J. Oper. Res..

Representing asymmetric decision problems using coarse valuations

Prakash P. Shenoy, Liping Liu, P. P. Shenoy, 2004, Decis. Support Syst..

A Comparison of Graphical Techniques for Asymmetric Decision Problems

Concha Bielza, Prakash P. Shenoy, C. Bielza, 1999 .

Some Improvements to the Shenoy-Shafer and Hugin Architectures for Computing Marginals

Prakash P. Shenoy, Tuija Schmidt, P. P. Shenoy, 1998, Artif. Intell..

Binary join trees for computing marginals in the Shenoy-Shafer architecture

Prakash P. Shenoy, P. P. Shenoy, 1997, Int. J. Approx. Reason..

A note on Kirkwood's algebraic method for decision problems

Prakash P. Shenoy, P. P. Shenoy, Rui Guo, 1996 .

AXIOMS FOR DYNAMIC PROGRAMMING

Prakash P. Shenoy, P. P. Shenoy, 1996 .

A New Pruning Method for Solving Decision Trees and Game Trees

Prakash P. Shenoy, P. P. Shenoy, 1995, UAI.

Representing and Solving Asymmetric Decision Problems Using Valuation Networks

Prakash P. Shenoy, P. P. Shenoy, 1995, AISTATS.

Conditional independence in valuation-based systems

Prakash P. Shenoy, P. P. Shenoy, 1994, Int. J. Approx. Reason..

A Fusion Algorithm for Solving Bayesian Decision Problems

Prakash P. Shenoy, P. P. Shenoy, 1991, UAI.

Local Computation in Hypertrees

Prakash P. Shenoy, Glenn Shafer, G. Shafer, 1991 .

On Spohn's rule for revision of beliefs

Prakash P. Shenoy, P. P. Shenoy, 1991, Int. J. Approx. Reason..

Propagating Belief Functions with Local Computations

Prakash P. Shenoy, Glenn Shafer, G. Shafer, 1986, IEEE Expert.

On properties of a new decomposable entropy of Dempster-Shafer belief functions

Prakash P. Shenoy, Radim Jirousek, R. Jirousek, 2020, Int. J. Approx. Reason..

No Double Counting Semantics for Conditional Independence

Prakash P. Shenoy, P. P. Shenoy, 2005, ISIPTA.

Knowledge representation and integration for portfolio evaluation using linear belief functions

Prakash P. Shenoy, Liping Liu, Catherine Shenoy, 2006, IEEE Transactions on Systems, Man, and Cybernetics - Part A: Systems and Humans.

A Linear Belief Function Approach to Portfolio Evaluation pdf

Prakash P. Shenoy, Liping Liu, Catherine Shenoy, 2002, UAI.

Probability and statistics: Foundations and history. Special Issue in honor of Glenn Shafer

A. Dawid, V. Vovk, P. P. Shenoy, 2022, Int. J. Approx. Reason..

A Comparison of Methods for Transforming Belief Function Models to Probability Models

Prakash P. Shenoy, Barry R. Cobb, P. P. Shenoy, 2003, ECSQARU.

An Axiomatic Utility Theory for Dempster-Shafer Belief Functions

Thierry Denoeux, Prakash P. Shenoy, P. P. Shenoy, 2019, ISIPTA.

An Interval-Valued Utility Theory for Decision Making with Dempster-Shafer Belief Functions

Thierry Denoeux, Prakash P. Shenoy, P. P. Shenoy, 2019, Int. J. Approx. Reason..

Inference in hybrid Bayesian networks using mixtures of polynomials

Prakash P. Shenoy, James C. West, P. P. Shenoy, 2011, Int. J. Approx. Reason..

Conditional Independence in Uncertainty Theories pdf

Prakash P. Shenoy, P. P. Shenoy, 1992, UAI 1992.

A dynamic solution concept for abstract games

Prakash P. Shenoy, P. P. Shenoy, P. P. Shenoy, 1980 .

On coalition formation: a game-theoretical approach

P. P. Shenoy, P. P. Shenoy, 1979 .

The Banzhaf power index for political games

Prakash P. Shenoy, P. P. Shenoy, 1982, Math. Soc. Sci..

On coalition formation in simple games: A mathematical analysis of Caplow's and Gamson's theories☆

P. P. Shenoy, P. P. Shenoy, 1978 .

On Coalition Formation : A Game-Theoretical Approach 1 )

P. P. Shenoy, Lawrence, 2005 .

Propagating belief functions in qualitative Markov trees

Khaled Mellouli, Prakash P. Shenoy, Glenn Shafer, 1987, Int. J. Approx. Reason..

A bias-variance based heuristic for constructing a hybrid logistic regression-naïve Bayes model for classification

Prakash P. Shenoy, Yi Tan, P. P. Shenoy, 2020, Int. J. Approx. Reason..

An adaptive heuristic for feature selection based on complementarity

Prakash P. Shenoy, Sumanta Singha, P. P. Shenoy, 2018, Machine Learning.

On the plausibility transformation method for translating belief function models to probability models

Prakash P. Shenoy, Barry R. Cobb, P. P. Shenoy, 2006, Int. J. Approx. Reason..

A new definition of entropy of belief functions in the Dempster-Shafer theory

Prakash P. Shenoy, Radim Jirousek, R. Jirousek, 2018, Int. J. Approx. Reason..

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, P. P. Shenoy, 2012, Annals of Operations Research.

Sequential influence diagrams: A unified asymmetry framework

Prakash P. Shenoy, Thomas D. Nielsen, Finn Verner Jensen, 2006, Int. J. Approx. Reason..

Evidence Gathering for Hypothesis Resolution Using Judicial Evidential Reasoning

Prakash P. Shenoy, Moses W. Chan, Marcus J. Holzinger, 2018, 2018 21st International Conference on Information Fusion (FUSION).

Arc reversals in hybrid Bayesian networks with deterministic variables

Prakash P. Shenoy, Esma Nur Cinicioglu, P. P. Shenoy, 2009, Int. J. Approx. Reason..

Binary Join Trees

Prakash P. Shenoy, P. P. Shenoy, 1996, UAI.

A Comparison of Lauritzen-Spiegelhalter, Hugin, and Shenoy-Shafer Architectures for Computing Marginals of Probability Distributions

Prakash P. Shenoy, Vasilica Lepar, P. P. Shenoy, 1998, UAI.

Solving Hybrid Influence Diagrams with Deterministic Variables

Yijing Li, Prakash P. Shenoy, P. P. Shenoy, 2010, UAI.