Handbook of approximate Bayesian computation

Main
Mathematics
Handbook of approximate Bayesian...

Handbook of approximate Bayesian computation

Beaumont, Mark, Fan, Yanan, Sisson, Scott A (ed.)

5.0 / 0

Bu kitabı nə dərəcədə bəyəndiniz?

Yüklənmiş faylın keyfiyyəti necədir?

Kitabın keyfiyyətini qiymətləndirə bilmək üçün onu yükləyin

Yüklənmiş faylların keyfiyyəti necədir?

Kateqoriyalar:

İl:

2019

Nəşriyyat:

CRC Press

Dil:

english

ISBN 10:

1439881502

ISBN 13:

9781439881514

Fayl:

PDF, 6.33 MB

IPFS:

,

english, 2019

Onlayn oxumaq

formatına konvertasiya yerinə yetirilir

formatına konvertasiya baş tutmadı

Bəlkə Sizə maraqlıdır

Beaumont, Mark A.; Fan, Yanan; Sisson, Scott A — Handbook of approximate Bayesian computation

Roberto Mariano, Til Schuermann, Melvyn J. Weeks — Simulation-based Inference in Econometrics: Methods and Applications

Gilks W. R., Richardson S., Spiegelhalter D. J. — Markov Chain Monte Carlo in Practice

John Geweke (editor), Gary Koop (editor), Herman Van Dijk (editor) — The Oxford Handbook of Bayesian Econometrics

Jose M. Bernardo, M. J. Bayarri, James O. Berger, A. P. Dawid, David Heckerman, Adrian F. M. Smith, Mike West — Bayesian Statistics 9

Paul Damien, Petros Dellaportas, Nicholas G. Polson, David A. Stephens (eds.) — Bayesian Theory and Applications

Andrew Gelman, John B. Carlin, Hal S. Stern, Donald B. Rubin — Bayesian data analysis

Martin, Osvaldo A., Kumar, Ravin, Lao, Junpeng — Bayesian Modeling and Computation in Python

Scott M. Lynch — Introduction to Applied Bayesian Statistics and Estimation for Social Scientists

J.L. Schafer — Analysis of Incomplete Multivariate Data

W.R. Gilks, S. Richardson, David Spiegelhalter — Markov Chain Monte Carlo in Practice

Dipak K. Dey, C.R. Rao — Handbook of Statistics, Volume 25: Bayesian Thinking, Modeling and Computation

Simon Jackman — Bayesian Analysis for the Social Sciences

Walter A. Shewhart, Samuel S. Wilks(eds.) — Applied Bayesian Modeling and Causal Inference From Incomplete-Data Perspectives

A.H. Welsh(auth.) — Aspects of Statistical Inference

Barber D., Cemgil A.T., Chiappa S. (eds.) — Bayesian Time Series Models

Müller, Peter; Paulino, Carlos Daniel; Turkman, M. Antónia Amaral — Computational Bayesian statistics : an introduction

Walter A. Shewhart, Samuel S. Wilks(eds.) — Case Studies in Bayesian Statistical Modelling and Analysis

Alston C.L., Mengersen K.L., Pettitt A.N. (Eds.) — Case Studies in Bayesian Statistical Modelling and Analysis

Steve Brooks, Andrew Gelman, Galin L. Jones, Xiao-Li Meng — Handbook of Markov Chain Monte Carlo

Brooks, Steve — Handbook of Markov chain Monte Carlo

Gelman A., Carlin J.B. — Bayesian data analysis

Ming-Hui Chen, Qi-Man Shao, Joseph G. Ibrahim (auth.) — Monte Carlo Methods in Bayesian Computation

Jean-Michel Marin & Christian P. Robert — Bayesian Essentials with R

Ming-Hui Chen, Lynn Kuo, Paul O. Lewis — Bayesian Phylogenetics: Methods, Algorithms, and Applications

Best, Nicky; Jackson, Chris; Lunn, David; Spiegelhalter, David; Thomas, Andrew — The BUGS Book : A Practical Introduction to Bayesian Analysis

Satyanshu K. Upadhyay, Umesh Singh, Dipak K. Dey, Appaia Loganathan — Current trends in bayesian methodology with applications

Andrew Gelman, John B. Carlin, Hal S. Stern, Donald B. Rubin — Bayesian Data Analysis

Dani Gamerman — Markov chain Monte Carlo : stochastic simulation for Bayesian inference

Shay Cohen — Bayesian Analysis in Natural Language Processing

Ivan Jeliazkov; Justin Tobias — Topics in Identification, Limited Dependent Variables, Partial Observability, Experimentation, and Flexible Modeling

Jean-Baptiste Marquette; Didier Fraix‐Burnet; Stéphane Girard; Julyan Arbel — Statistics for Astrophysics : Bayesian Methodology

Açar ifadələr