Patterns of Scalable Bayesian Inference (Foundations and Trends (R) in Machine Learning) - Image 1

£67.90

Now Publishers Patterns of Scalable Bayesian Inference (Foundations and Trends (R) in Machine Learning)

Name: Patterns of Scalable Bayesian Inference (Foundations and Trends (R) in Machine Learning)
Brand: Now Publishers
Price: 67.9 GBP
Availability: InStock

AI & Machine Learning

It has never been this cheap. We have no record of a lower price.

£68 today · cheaper than every other day in the last 1 months

NEW HERE?

Amazon shows you one price. We show you all of them.

Tosheroon watches Amazon prices so you don't have to. Every product on Amazon has a price history — we make it visible. Set the price you'd actually pay, and we'll email you the second it gets there. No app, no account, one email.

WHAT'S ON THIS PAGE

↓ Price chart
when this has been cheap or pricey

↓ Forecast
where the price is heading next

↓ Statistics
all-time high & low, recent range

↑ Price alert
name your number, we'll email you

Price History & Forecast

Grey patches = out of stock. Cheaper = lower on the chart. Hover for exact prices.

Last 16 days · 16 data points (no recent data)

Historical

Generating forecast…

Price Distribution

Price distribution over 16 days • 1 price levels

Days at Price

Price Analysis

Most common price: £68 (16 days, 100.0%)

Price range: £68 - £68

Price levels: 1 different prices over 16 days

Description

Datasets are growing not just in size but in complexity, creating a demand for rich models and quantification of uncertainty. Bayesian methods are an excellent fit for this demand, but scaling Bayesian inference is a challenge. In response to this challenge, there has been considerable recent work based on varying assumptions about model structure, underlying computational resources, and the importance of asymptotic correctness. As a result, there is a zoo of ideas with a wide range of assumptions and applicability. Patterns of Scalable Bayesian Inference seeks to identify unifying principles, patterns, and intuitions for scaling Bayesian inference. It examines how these techniques can be scaled up to larger problems and scaled out across parallel computational resources. It reviews existing work on utilizing modern computing resources with both MCMC and variational approximation techniques. From this taxonomy of ideas, it characterizes the general principles that have proven successful for designing scalable inference procedures and addresses some of the significant open questions and challenges.

Product Specifications

Brand: Now Publishers
Format: paperback
ASIN: 1680832182
Category: Books > Subjects > Computing & Internet > Computer Science > AI & Machine Learning
Domain: Amazon UK
Release Date: 17 November 2016
Listed Since: 21 November 2016

Barcode

No barcode data available

Now Publishers Patterns of Scalable Bayesian Inference (Foundations and Trends (R) in Machine Learning)

It has never been this cheap. We have no record of a lower price.

Price History & Forecast

Price Distribution

Price Analysis

Description

Product Specifications

Barcode

Similar Products You Might Like

Cambridge Fundamentals of Nonparametric Bayesian Inference Book

Mathematical Theory of Bayesian Statistics (Chapman & Hall/CRC Monographs on Statistics & Applied Probab)

Current Trends in Bayesian Methodology with Applications

Computational Bayesian Statistics: An Introduction: 11 (Institute of Mathematical Statistics Textbooks)

Bayesian Statistical Methods: With Applications to Machine Learning (Chapman & Hall/CRC Texts in Statistical Science)

Bayesian Inference and Computation in Reliability and Survival Analysis (Emerging Topics in Statistics and Biostatistics)

Modeling and Reasoning with Bayesian Networks

Bayesian Inference and Computation in Reliability and Survival Analysis (Emerging Topics in Statistics and Biostatistics)

Mathematical Theory of Bayesian Statistics

Bayesian Theory: 316 (Wiley Series in Probability and Statistics)

Objective Bayesian Inference

An Introduction to Bayesian Analysis: Theory and Methods (Springer Texts in Statistics)

Bayesian Data Analysis (Chapman & Hall/CRC Texts in Statistical Science)

Bayesian Statistics from Methods to Models and Applications: Research from BAYSM 2014: 126 (Springer Proceedings in Mathematics & Statistics, 126)

Bayesian Compendium

Current Trends in Bayesian Methodology with Applications

Likelihood and Bayesian Inference: With Applications in Biology and Medicine (Statistics for Biology and Health)

Bayesian Modeling and Computation in Python (Chapman & Hall/CRC Texts in Statistical Science)

Bayesian Data Analysis for Animal Scientists: The Basics

Bayesian Econometric Modelling for Big Data - Chapman and Hall/CRC

Bayesian Methods: An Analysis for Statisticians and Interdisciplinary Researchers: 5 (Cambridge Series in Statistical and Probabilistic Mathematics, Series Number 5)

Bayesian Analysis in Econometrics and Statistics: The Zellner View and Papers (Economists of the Twentieth Century series)

Comparative Statistical Inference: 522 (Wiley Series in Probability and Statistics)

Bayesian Inference Statistical AnalysIS: 40 (Wiley Classics Library)