Now showing items 201-216 of 216

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

      Cobb, Barry R.; Shenoy, Prakash P. (Springer-Verlag, 2003-07)
      Recently, we proposed a new method called the plausibility transformation method to convert a belief function model to an equivalent probability model. In this paper, we compare the plausibility transformation method with ...
    • A Linear Belief Function Approach to Portfolio Evaluation 

      Liu, Liping; Shenoy, Catherine; Shenoy, Prakash P. (Morgan Kaufmann Publishers, 2003-08)
      We show how to use linear belief functions to represent market information and financial knowledge, including complete ignorance, statistical observations, subjective speculations, dis-tributional assumptions, linear ...
    • Decision Making with Partially Consonant Belief Functions 

      Giang, Phan H.; Shenoy, Prakash P. (Morgan Kaufmann Publishers, 2003-08)
      This paper studies decision making for Walley’s partially consonant belief functions (pcb). In a pcb, the set of foci are partitioned. Within each partition, foci are nested. The pcb class includes probability and possibility ...
    • Representing Asymmetric Decision Problems Using Coarse Valuations 

      Liu, Liping; Shenoy, Prakash P. (Elsevier Science Publishers B. V., 2004-04)
      A valuation-based system approach to knowledge representation has shown its advantages in improving computational efficiency and in allowing many decision models including belief networks. This study applies the Dempster–Shafer ...
    • Hybrid Influence Diagrams Using Mixtures of Truncated Exponentials 

      Cobb, Barry R.; Shenoy, Prakash P. (Association for Uncertainty in Artificial Intelligence, 2004-07)
      Mixtures of truncated exponentials (MTE) potentials are an alternative to discretization for representing continuous chance variables in influence diagrams. Also, MTE potentials can be used to approximate utility functions. ...
    • A Causal Mapping Approach to Constructing Bayesian Networks 

      Nadkarni, Sucheta; Shenoy, Prakash P. (Elsevier Science Publishers B. V., 2004-11)
      This paper describes a systematic procedure for constructing Bayesian networks (BNs) from domain knowledge of experts using the causal mapping approach. We outline how causal knowledge of experts can be represented as ...
    • Two Axiomatic Approaches to Decision Making Using Possibility Theory 

      Giang, Phan H.; Shenoy, Prakash P. (Elsevier Science Publishers B. V., 2005-04-16)
      This paper proposes a utility theory for decision making under uncertainty that is described by possibility theory. We show that our approach is a natural generalization of the two axiomatic systems that correspond to ...
    • Multistage Monte Carlo Method for Solving Influence Diagrams Using Local Computation 

      Charnes, John M.; Shenoy, Prakash P. (Institute For Operations Research and Management Sciences, 2004-03)
      The main goal of this paper is to describe a new multistage Monte Carlo (MMC) simulation method for solving influence diagrams using local computation. Global methods have been proposed by others that sample from the joint ...
    • Valuation Network Representation and Solution of Asymmetric Decision Problems 

      Shenoy, Prakash P. (Elsevier Science Publishers B. V., 2000-03-16)
      This paper deals with asymmetric decision problems. We describe a generalization of the valuation network representation and solution technique to enable efficient representation and solution of asymmetric decision problems. ...
    • A Comparison of Bayesian and Belief Function Reasoning 

      Cobb, Barry R.; Shenoy, Prakash P. (Kluwer Academic Publishers, 2003-12)
      The goal of this paper is to compare the similarities and differences between Bayesian and belief function reasoning. Our main conclusion is that although there are obvious differences in semantics, representations, the ...
    • Axioms for Probability and Belief-Function Propagation 

      Shenoy, Prakash P.; Shafer, Glenn R. (Elsevier Science Publishers B. V., 1990)
      In this paper, we describe an abstract framework and axioms under which exact local computation of marginals is possible. The primitive objects of the framework are variables and valuations. The primitive operators of the ...
    • Local Computation in Hypertrees 

      Shafer, Glenn R.; Shenoy, Prakash P. (1991-07)
      The monograph describes theory and algorithms for computation of marginals using local computation that applies to a large number of domains including probability theory, Dempster-Shafer theory of belief functions, discrete ...
    • Design and Applications of an Intelligent Financial Reporting and Auditing Agent with Net Knowledge (FRAANK) 

      Srivastava, Rajendra P.; Bovee, Matthew; Kogan, Alexander; Nelson, Kay M.; Vasarhelyi, Miklos (2002)
      This paper discusses the use of intelligent Internet agents as essential tools for automating financial analysis functions in the virtual world. Several important characteristic features of intelligent agents are discussed, ...
    • Sensitivity of Investor Reaction to Market Direction and Volatility: The Case of Dividend Change Announcements 

      Koch, Paul D.; Docking, Diane Scott (2004-02)
      This study examines whether investor reactions are sensitive to the recent direction and/or volatility of underlying market movements. We find dividend change announcements elicit a greater change in stock price when the ...
    • Internet chat, disagreement, retail trading, and stock returns around earnings announcements 

      Koch, Paul D.; Berkman, Henk (2003-09)
      This study tests the Miller (1977) hypothesis as an explanation for stock price behavior around technology firms’ earnings announcements during the late 1990s. Specifically, we examine whether the anomalous tendency for ...
    • Measuring Hedge Effectiveness for FAS 133 Compliance 

      Charnes, John M.; Koch, Paul D.; Berkman, John (2002)
      Financial Accounting Standard (FAS) 133 requires business entities to document their anticipation of hedge effectiveness in order to qualify for hedge accounting treatment of gains and losses from financial derivatives. ...