Barry R. Cobb

发表

Operations for inference in continuous Bayesian networks with linear deterministic variables

Prakash P. Shenoy, Barry R. Cobb, 2006, 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.

Graphical Models for Economic Profit Maximization

Barry R. Cobb, B. Cobb, 2011, INFORMS Trans. Educ..

Bayesian network model for quality control with categorical attribute data

Barry R. Cobb, Linda Li, B. Cobb, 2019, Appl. Soft Comput..

Approximating free exercise boundaries for American-style options using simulation and optimization

John M. Charnes, Barry R. Cobb, J. Charnes, 2004, Proceedings of the 2004 Winter Simulation Conference, 2004..

Optimization Models for the Continuous Review Inventory System

Barry R. Cobb, 2017, Int. J. Oper. Res. Inf. Syst..

Inventory management with log-normal demand per unit time

Rafael Rumí, Antonio Salmerón, Barry R. Cobb, 2013, Comput. Oper. Res..

Mixture of Polynomials Probability Distributions for Grouped Sample Data

Barry R. Cobb, 2014, Probabilistic Graphical Models.

Influence Diagrams with Continuous Decision Variables and Non-Gaussian Uncertainties

Barry R. Cobb, B. Cobb, 2007, Decis. Anal..

Nonlinear Deterministic Relationships in Bayesian Networks

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

A graphical method for valuing switching options

John M. Charnes, Barry R. Cobb, 2010, J. Oper. Res. Soc..

Continuous Decision MTE Influence Diagrams

Barry R. Cobb, 2006, Probabilistic Graphical Models.

A Comparison of Bayesian and Belief Function Reasoning

Prakash P. Shenoy, Barry R. Cobb, 2003, Inf. Syst. Frontiers.

Real options valuation

John M. Charnes, Barry R. Cobb, J. Charnes, 2007, 2007 Winter Simulation Conference.

Hybrid Bayesian Networks with Linear Deterministic Variables

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

A note on supply chain coordination for joint determination of order quantity and reorder point using a credit option

Alan W. Johnson, Barry R. Cobb, B. Cobb, 2014, Eur. J. Oper. Res..

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..

Inference in Hybrid Bayesian Networks with Nonlinear Deterministic Conditionals

Prakash P. Shenoy, Barry R. Cobb, 2017, Int. J. Intell. Syst..

Efficiency of influence diagram models with continuous decision variables

Barry R. Cobb, B. Cobb, 2009, Decis. Support Syst..

Inventory control for returnable transport items in a closed-loop supply chain

Barry R. Cobb, B. Cobb, 2016 .

Bayesian Network Models with Discrete and Continuous Variables

Rafael Rumí, Antonio Salmerón, Barry R. Cobb, 2007 .

Bayesian networks for statistical process control with attribute data

Barry R. Cobb, Linda Li, B. Cobb, 2019, International Journal of Quality & Reliability Management.

Modeling Conditional Distributions of Continuous Variables in Bayesian Networks

Rafael Rumí, Antonio Salmerón, Barry R. Cobb, 2005, IDA.

A Decision Analysis Approach to Solving the Signaling Game

Atin Basuchoudhary, Barry R. Cobb, 2009, Decis. Anal..

Simulation methodology for collateralized debt and real options: simulation and optimization for real options valuation

John M. Charnes, Barry R. Cobb, J. Charnes, 2003, WSC '03.

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..

Spreadsheet Modeling of (Q,R) Inventory Policies

Barry R. Cobb, 2013 .

Predicting Stock and Portfolio Returns Using Mixtures of Truncated Exponentials

Rafael Rumí, Antonio Salmerón, Barry R. Cobb, 2009, ECSQARU.

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

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

Inference in hybrid Bayesian networks with mixtures of truncated exponentials

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

Statistical Process Control for the Number of Defectives with Limited Memory

Barry R. Cobb, 2021, Decis. Anal..

REAL OPTIONS VOLATILITY ESTIMATION WITH CORRELATED INPUTS

John M. Charnes, Barry R. Cobb, J. Charnes, 2004 .

Approximating Probability Density Functions with Mixtures of Truncated Exponentials

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

Propagation in Hybrid Bayesian Networks with Linear Deterministic Variables

Prakash P. Shenoy, Barry R. Cobb, 2007 .

Influence diagrams for capacity planning and pricing under uncertainty

Barry R. Cobb, B. Cobb, 2009 .

An Influence Diagram Model for Detecting Credit Card Fraud

Barry R. Cobb, B. Cobb, 2010 .

Lead time uncertainty and supply chain coordination in lost sales inventory models

Barry R. Cobb, 2016 .

Measuring Efficiency in Influence Diagram Models

Barry R. Cobb, B. Cobb, 2008 .

Estimating cycle time and return rate distributions for returnable transport items

Barry R. Cobb, B. Cobb, 2016 .

Forward cycle time distributions for returnable transport items

Barry R. Cobb, Linda Li, 2021, Journal of Remanufacturing.

Forward cycle time distributions for returnable transport items

Barry R. Cobb, Linda Li, 2021, Journal of Remanufacturing.