Bayesian artificial intelligence

Bayesian artificial intelligence

Show other versions (1)

Saved in:

Bibliographic Details
Main Author:	Korb, Kevin B.
Other Authors:	Nicholson, Ann E.
Format:	Unknown
Published:	Florida Chapman & Hall 2004
Series:	Chapman & Hall/CRC computer science and data analysis
Subjects:	Neural networks (Computer science) > Data processing Machine learning Bayesian statistical decision theory > Data processing
Online Access:	Click Here to View Status and Holdings.
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Bayesian artificial intelligence
by: Korb, Kevin B.
Published: (2011)

Learning Bayesian networks
by: Neapolitan, Richard E.
Published: (2004)

Bayesian theory
by: Bernardo, Jose M
Published: (1994)

Bayesian statistics principles, models, and applications
by: Press, S. James
Published: (1989)

Bayesian data analysis
Published: (2004)

Introduction to Bayesian statistics
by: Bolstad, William M. 1943-
Published: (2007)

Bayesian statistical inference
by: Iversen, Gudmund R
Published: (1984)

Bayesian statistical modelling
by: Congdon, Peter
Published: (2001)

The Bayesian choice from decision-theoretic foundations to computational implementation
by: Robert, Christian P. 1961-
Published: (2007)

Bayesian methods for data analysis
by: Carlin, Bradley P.
Published: (2009)

A Student's Guide to BAYESIAN STATISTICS
by: Lambert, Ben
Published: (2018)

Bayesian ideas and data analysis an introduction for scientists and statisticians
Published: (2011)

Subjective and objective Bayesian statistics principles, models, and applications
by: Press, S. James
Published: (2003)

Bayesian nonparametrics
by: Ghosh, J. K
Published: (2003)

Bayesian parametric inference
by: Bansal, Ashok K.
Published: (2007)

Statistical design theory and Bayesian analysis
by: Berger, James O
Published: (1985)

Applied Bayesian modelling
by: Congdon, P
Published: (2003)

Bayesian statistics 7 proceedings of the Seventh Valencia International Meeting, June 2-6, 2002
Published: (2003)

Statistics a Bayesian perspective
by: Berry, Donald A
Published: (1996)

Applied bayesian hierarchical methods
by: Congdon, Peter D.
Published: (2010)

Contemporary Bayesian and frequentist statistical research methods for natural resource scientists
by: Stauffer, Howard B. 1941-
Published: (2008)

Bayesian spectrum analysis and parameter estimation
by: Bretthorst, G. Larry
Published: (1988)

Bayesian methods for the social and behavioral sciences approach
by: Gill, Jeff
Published: (2002)

Bayesian missing data problems EM, data augmentation, and noniterative computation
by: Tan, Ming T.
Published: (2010)

Essential Bayesian models a derivative of Handbook of statistics: Bayesian thinking - modeling and computation, vol. 25
Published: (2010)

Biostatistics a Bayesian introduction
by: Woodworth, George G. 1940-
Published: (2004)

Bayesian model selection and statistical modeling
by: Ando, Tomohiro
Published: (2010)

Doing bayesian data analysis a tutorial with R and BUGS
by: Kruschke, John K.
Published: (2011)

Bayes and empirical bayes method for data analysis
by: Carlin, Bradley P.
Published: (2002)

Reasoning with probabilistic and deterministic graphical models exact algorithms
by: Dechter, Rina 1950-
Published: (2013)

Bayesian analysis made simple an Excel GUI for WinBUGS
by: Woodward, Phillip
Published: (2012)

Markov chain Monte Carlo stochastic simulation for Bayesian inference
by: Gamerman, Dani
Published: (2006)

Bayesian bounds for parameter estimation and nonlinear filtering [and] tracking
Published: (2007)

Principles of uncertainty
by: Kadane, Joseph B.
Published: (2011)

Tools for statistical inference methods for the exploration of posterior distributions and likelihood functions
by: Tanner, Martin A
Published: (1993)

Statistical decision theory with business and economic applications a Bayesian approach
by: Kwon, Ik-Whan 1937-
Published: (1978)

New developments in the applications of Bayesian methods proceedings of the first European conference
Published: (1979)

Computational intelligence for missing data imputation, estimation and management knowledge optimization techniques
by: Marwala, Tshilidzi 1971-
Published: (2009)

Adaptive learning of polynomial networks genetic programming, backpropagation and Bayesian methods
by: Nikolaev, Nikolay Y.
Published: (2006)

An Introduction to Decision Theory
by: Peterson, Martin 1975-
Published: (2017)