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Top 564 bayesian PDF Book Page 22
DTIC ADA543553: Bayesian Identification of a Cracked Plate using a Population-Based Markov Chain Monte Carlo Method
Defense Technical Information Center
·1.4 MB
The Bayesian Choice: From Decision-Theoretic Foundations to Computational Implementation (Springer Texts in Statistics)
Christian P. Robert
·618 Pages
·2007
·6.248 MB
Multivariate Bayesian Statistics: Models for Source Separation and Signal Unmixing
Daniel B. Rowe (Author)
·350 Pages
·2002
·2.039 MB
Use of Bayesian statistics in drug development: Advantages and challenges.
Gupta, Sandeep K
·2012
·0.66 MB
Maximum Entropy and Bayesian Methods: Santa Barbara, California, U.S.A., 1993
G. Larry Bretthorst (auth.), Glenn R. Heidbreder (eds.)
·410 Pages
·1996
·11.572 MB
Doing Bayesian Data Analysis: A Tutorial with R and BUGS
John K. Kruschke
·2010
·13.937 MB
Bayesian inference of multi-factor affine term structure models and
Liu, Jingshu
·158 Pages
·2014
·16 MB
Bayes Rule with R A Tutorial Introduction to Bayesian Analysis
James V Stone
·187 Pages
·2016
·5.329 MB
Maximum-Entropy and Bayesian Methods in Science and Engineering: Foundations
E. T. Jaynes (auth.), Gary J. Erickson, C. Ray Smith (eds.)
·320 Pages
·1988
·13.64 MB
Inference, Method and Decision: Towards a Bayesian Philosophy of Science
Roger D. Rosenkrantz (auth.)
·280 Pages
·1977
·7.003 MB
Probabilistic Methods for Bioinformatics: with an Introduction to Bayesian Networks
Richard E. Neapolitan
·396 Pages
·2009
·4.562 MB
Bayesian Logical Data Analysis for the Physical Sciences: A Comparative Approach with Mathematica® Support
Phil Gregory
·488 Pages
·2005
·3.748 MB
Bayesian estimation of state-space models using the Metropolis-Hastings algorithm within Gibbs sampling
Geweke J., Tanizaki H.
·20 Pages
·2001
·0.146 MB
Subjective and Objective Bayesian Statistics: Principles, Models, and Applications (Wiley Series in Probability and Statistics)
S. James Press
·591 Pages
·2002
·34.633 MB
Machine Learning: A Bayesian and Optimization Perspective (Solutions) (Instructor's Solution Manual)
Sergios Theodoridis
·263 Pages
·2020
·3.498 MB
Adaptive Learning of Polynomial Networks: Genetic Programming, Backpropagation and Bayesian Methods
Nikolay Y. Nikolaev, Hitoshi Iba (auth.)
·328 Pages
·2006
·5.137 MB
Statistical Rethinking: A Bayesian Course with Examples in R and STAN
McElreath, Richard;
·2020
·10.074 MB
Statistical Rethinking: A Bayesian Course with Examples in R and STAN
Richard McElreath
·612 Pages
·2020
·23.645 MB
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