Search

Categories

    • categories-img Jacket, Women
    • categories-img Woolend Jacket
    • categories-img Western denim
    • categories-img Mini Dresss
    • categories-img Jacket, Women
    • categories-img Woolend Jacket
    • categories-img Western denim
    • categories-img Mini Dresss
    • categories-img Jacket, Women
    • categories-img Woolend Jacket
    • categories-img Western denim
    • categories-img Mini Dresss
    • categories-img Jacket, Women
    • categories-img Woolend Jacket
    • categories-img Western denim
    • categories-img Mini Dresss
    • categories-img Jacket, Women
    • categories-img Woolend Jacket
    • categories-img Western denim
    • categories-img Mini Dresss

Filter By Price

$
-
$

Dietary Needs

Top Rated Product

product-img product-img

Modern Chair

$165.00
product-img product-img

Plastic Chair

$165.00
product-img product-img

Design Rooms

$165.00

Brands

  • Wooden
  • Chair
  • Modern
  • Fabric
  • Shoulder
  • Winter
  • Accessories
  • Dress

Welcome and thank you for visiting us. For any query call us on 0799 626 359 or Email [email protected]

Shopping Cart

Africa largest book store

Sub Total:

Search for any Title

Computational Bayesian Statistics : An Introduction

By: M. Antonia Amaral Turkman Carlos Daniel Paulino Peter Muller (Author)

Ksh 5,760.00
Format :

Format(s): DRM PDF

ISBN-13: 9781108576161

Publisher: Cambridge University Press

Imprint: Cambridge University Press

Publication Date: February 20th, 2019

Country of Publication: US

Language: English

Physical Edition EAN: 9781108703741

Category: Data analysis: general , Economic statistics , Probability & statistics , Machine learning

More ebooks on Data analysis: general

Using R for Data Analysis in Social Sciences
Statistical Analysis
Data Science and Complex Networks
Data and Analytics Playbook
Statistical Analysis
Reciprocity, Evolution, and Decision Games in Network and Data Science

  • Description

  • Author Bio

Meaningful use of advanced Bayesian methods requires a good understanding of the fundamentals. This engaging book explains the ideas that underpin the construction and analysis of Bayesian models, with particular focus on computational methods and schemes. The unique features of the text are the extensive discussion of available software packages combined with a brief but complete and mathematically rigorous introduction to Bayesian inference. The text introduces Monte Carlo methods, Markov chain Monte Carlo methods, and Bayesian software, with additional material on model validation and comparison, transdimensional MCMC, and conditionally Gaussian models. The inclusion of problems makes the book suitable as a textbook for a first graduate-level course in Bayesian computation with a focus on Monte Carlo methods. The extensive discussion of Bayesian software - R/R-INLA, OpenBUGS, JAGS, STAN, and BayesX - makes it useful also for researchers and graduate students from beyond statistics.

Get Computational Bayesian Statistics by at the best price and quality guranteed only at Werezi Africa largest book ecommerce store. The book was published by and it has pages. Enjoy Shopping Best Offers & Deals on books Online from Werezi - Receive at your doorstep - Fast Delivery - Secure mode of Payment


Digital Rights Management (DRM)

The publisher has supplied this book in encrypted form, which means that you need to install free software in order to unlock and read it.


Required software

To read this ebook on a mobile device (phone or tablet) you'll need to install one of these free apps:



To download and read this eBook on a PC or Mac:


  • Adobe Digital Editions (This is a free app specially developed for eBooks. It's not the same as Adobe Reader, which you probably already have on your computer.)

More Ebooks by M. Antonia Amaral Turkman