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The anatomy of bias : how neural circuits weigh the options

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Approximation Methods for Efficient Learning of Bayesian Networks.

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Bayesian analysis with Python : introduction to statistical modeling and probabilistic programming u

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Second edition.

Bayesian analysis with Python : unleash the power and flexibility of the Bayesian framework

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Bayesian brain : probabilistic approaches to neural coding

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Bayesian decision analysis : principles and practice

Smith, J. Q., 1953-
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Bayesian econometrics

Bingley : Emerald JAI, 2008.
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Bayesian inference for partially identified models : exploring the limits of limited data

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Bayesian logical data analysis for the physical sciences : a comparative approach with Mathematica s

Gregory, P. C. (Philip Christopher), 1941-
Cambridge, UK ; New York : Cambridge University Press, 2005.

Bayesian methods for ecology

McCarthy, Michael A., 1968-
Cambridge, UK ; New York : Cambridge University Press, 2007.

Bayesian Methods for Statistical Analysis.

Puza, Borek, author.
[Place of publication not identified] : ANU Press, 2015.

Bayesian methods in cosmology

Cambridge, UK ; New York : Cambridge University Press, 2010.

Bayesian model comparison

Bingley : Emerald, 2014.
1st ed.

Bayesian multiple target tracking

Boston, [Massachusetts] ; London, [England] : Artech House, 2014.
Second edition.

Bayesian nonparametrics

Cambridge, UK ; New York : Cambridge University Press, 2010.

Bayesian reasoning in data analysis : a critical introduction

D'Agostini, G. (Giulio)
River Edge, NJ : World Scientific, [2003]

Bayesian statistics : a review

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Bayesian structural equation modeling

DePaoli, Sarah, author.
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Bayesian theory and applications

Oxford : Oxford University Press, 2013.

Bayesian time series models

Cambridge, UK ; New York : Cambridge University Press, 2011.

Cooperative extensions of the Bayesian game

Ichiishi, Tatsuro.
New Jersey : World Scientific, [2006]

Current trends in Bayesian methodology with applications

Boca Raton, FL : CRC Pres, [2015]

Data analysis : a Bayesian tutorial.

Sivia, D. S.
Oxford ; New York : Oxford University Press, 2006.
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Decision theory with a human face.

Bradley, Richard, 1964 December 13- author.
Cambridge : Cambridge University Press, 2017.

Error and the growth of experimental knowledge

Mayo, Deborah G.
Chicago : University of Chicago Press, 1996.

Estimation risk and optimal portfolio choice

Bawa, Vijay S.
Amsterdam ; New York : North-Holland Pub. Co. ; New york : sole distributors for the U.S.A., Elsevier North-Holland, [1979]

GPM6 : the Global Projection Model with 6 regions

[Washington, D.C.] : International Monetary Fund, [2013]

Hierarchical modelling for the environmental sciences : statistical methods and applications

Oxford ; New York : Oxford University Press, 2006.

Interpreting probability : controversies and developments in the early twentieth century

Howie, David, 1970-
Cambridge ; New York : Cambridge University Press, 2002.

An introduction to Bayesian inference and decision

Winkler, Robert L.
New York : Holt, Rinehart and Winston, [1972]

Introduction to Bayesian statistics

Bolstad, William M., 1943- author.
Hoboken, N.J. : John Wiley, [2017]
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Large-scale inference : empirical Bayes methods for estimation, testing, and prediction

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Cambridge ; New York : Cambridge University Press, [2010]

Learning Bayesian networks

Neapolitan, Richard E.
Upper Saddle River, N.J. : Pearson Prentice Hall, [2004]

Markov chain Monte Carlo : innovations and applications

Singapore ; Hackensack, NJ : World Scientific, [2005]

Model selection and model averaging

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Cambridge ; New York : Cambridge University Press, 2008.

Modeling multilevel data in traffic safety : a Bayesian hierarchical approach

Hauppauge, New York : Nova Science Publishers, Incorporated, [2013]

Nonlinear mixture models : a bayesian approach

Tatarinova, Tatiana V., author.
Hackensack, NJ : Imperial College Press, [2015]

The Oxford handbook of applied Bayesian analysis

Oxford ; New York : Oxford University Press, 2010.

Rational decisions

Binmore, K. G., 1940-
Princeton : Princeton University Press, [2009]

The signal and the noise : why so many predictions fail-- but some don't

Silver, Nate, 1978-
New York : Penguin Press, 2012.

The signal and the noise : why so many predictions fail-- but some don't

Silver, Nate, 1978- author.
New York : Penguin Press, 2012.

Statistical and evolutionary analysis of biological networks

London : Imperial College Press, [2010]

Statistical multisource-multitarget information fusion

Mahler, Ronald P. S.
Boston : Artech House, [2007]

Statistics for astrophysics : Bayesian methodology

Les Ulis, France : EDP Sciences : EDP Sciences, 2018.

Stochastic Processes and Filtering Theory.

Jazwinski, Andrew H.
Burlington : Elsevier Science, 1970.

System and Bayesian reliability : essays in honor of Professor Richard E. Barlow on his 70th birthda

Singapore ; River Edge, NJ : World Scientific, [2001]

Testlet response theory and its applications

Wainer, Howard.
Cambridge : Cambridge University Press, 2007.

Think Bayes : Bayesian statistics made simple

Downey, Allen.
Needham, Massachusetts : Green Tea Press, 2012-

The times of their lives : hunting history in the archaeology of Neolithic Europe

Whittle, A. W. R., author.
Oxford : Oxbow Books , 2018.