Published Works
Books
Neapolitan R.E., and X. Jiang,
Probabilistic Methods for Financial and
Marketing Informatics, Morgan Kaufmann, San Mateo, CA, 2007
Neapolitan, R.E., and K. Namipour, Foundations of
Algorithm using Java Pseudocode, Jones and Bartlett,
Sudbury, MA, 2004
Neapolitan, R.E., Learning Bayesian Networks,
Prentice Hall,
Neapolitan, R.E., and K. Namipour,
Foundations of Algorithms, Jones and
Neapolitan, R.E., Probabilistic Reasoning in Expert
Systems: Theory and Algorithms, Wiley, NY, 1990 Review
Recent Significant Publications
Neapolitan, R.E., `A Polemic for Bayesian
Statistics, ' to appear in an edited volume on Bayesian Networks, 2007
Neapolitan, R.E., and X. Jiang,
`A Tutorial on Learning Causal Influences, ' in Holmes, D. and L. Jain (Eds.): Innovations in Machine Learning,
Neapolitan, R.E., and S. Morris,
`Probabilistic Modeling Using Bayesian Networks,' in D. Kaplan (Ed.): Handbook
of Quantitative Methodology in the Social Sciences, Sage,
Morris, S., and R.E. Neapolitan, `Examination
of a Bayesian Network Model of Human Causal Reasoning,' in M. H. Hamza (Ed.), Applied Simulation and Modeling:
Proceedings of the IASTED International Conference, IASTED/ACTA Press,
Neapolitan, R.E., S. Morris, and D. Cork, `The Cognitive Processing of Causal Knowledge,' in D. Geiger and P. Shenoy (Eds.) Uncertainty in Artificial Intelligence 97, Morgan Kaufmann, San Mateo, CA, 1997
Neapolitan, R.E., 'Is Higher-Order Uncertainty Needed?,' IEEE Transactions on Systems, Man, and Cybernetics: Special Issue on Higher Order Uncertainty, May, 1996
Neapolitan, R.E., 'Computing the Confidence in a Medical Decision Obtained from an Influence Diagram' Artificial Intelligence in Medicine, Vol. 5, 1993
Che, P., J.R. Kenevan, M. Evens, and R.E. Neapolitan, 'An Implementation of a Method For Determining the Uncertainty in Inferred Probabilities in Belief Networks,' in D. Heckerman and A. Mamdani (eds.), Uncertainty in Artificial Intelligence 93, Morgan Kaufmann, San Mateo, CA, 1993
Neapolitan, R.E., 'The Interpretation and Application of Belief Functions,' Applied Artificial Intelligence, an International Journal, 1993
Neapolitan, R.E., 'A Survey of Uncertain and Approximate Inference,' in L. Zadeh and J. Kacprzyk (eds.): Fuzzy Logic for the Management of Uncertainty, Wiley, NY, 1992
Kenevan, J.R. and R.E. Neapolitan, 'A Model Theoretic Approach to Prepositional Logic Using Beth Tableaux,' in L. Zadeh and J. Kacprzyk (eds.): Fuzzy Logic for the Management of Uncertainty, Wiley, NY, 1992
Neapolitan, R.E., 'A Limiting Frequency
Approach to Probability Based on the Weak Law of Large Numbers,' Philosophy
of Science, Vol. 59, No. 3, 1992
Neapolitan, R.E., 'The Principle of Interval Constraints, a Generalization of the Symmetric Dirichlet Distribution,' Mathematical Biosciences, 1991
Neapolitan, R.E. and J.R. Kenevan, 'Investigation of Variances in Belief Networks,' Proceedings of the 7th Conference on Uncertainty in Artificial Intelligence, UCLA, July, 1991
Neapolitan, R.E. 'Propagation of Variances in
Belief Networks,' Proceedings of SPIE's Conference
on Applications of Artificial Intelligence,
Neapolitan, R.E. and J.R. Kenevan,
'Computation of Variances in Causal Networks,' Proceedings of the fifth
Conference on Uncertainty in Artificial Intelligence, MIT, July, 1990
Neapolitan, R.E.
and J.R. Kenevan, `Justifying the Principle of
Interval Constraints,' Proceedings of the 4th Workshop on Uncertainty in
Artificial Intelligence,
Neapolitan, R.E.,
C. Georgakis, M. Evens, J.R. Kenevan,
H. Jiwani, and D.B. Hier,
`Using Set Covering and Uncertain Reasoning to Rank Explanations,' Proceedings
of SCAMC,
Neapolitan, R.E.,
`Models for Reasoning Under Uncertainty,' Applied
Artificial Intelligence, an International Journal, 1987
Neapolitan, R.E.,
`A Note of Caution on Combining Certainty,' International Journal of Pattern
Recognition and Artificial Intelligence, Vol. 1, No. 3 & 4, 1987