Statistical Rethinking: A Bayesian Course with Examples in R and STAN (Chapman & Hall/CRC Texts in Statistical Science) - Image 1

£73.97

CRC Press Statistical Rethinking: A Bayesian Course with Examples in R and STAN (Chapman & Hall/CRC Texts in Statistical Science)

Name: Statistical Rethinking: A Bayesian Course with Examples in R and STAN (Chapman & Hall/CRC Texts in Statistical Science)
Brand: CRC Press
Price: 73.97 GBP
Availability: InStock

Econometrics

This is the most expensive it has ever been. Walk away.

£74 today · previous high £74 · all-time low £59

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 621 days • 621 data points (No recent data available)

Historical

Generating forecast...

Price Distribution

Price distribution over 621 days • 5 price ranges

Days at Price

Current Price

Price Analysis

Most common range: £59-62 (306 days, 49.3%)

Price range: £59 - £74

Price levels: 5 price ranges over 621 days

Description

Winner of the 2024 De Groot Prize awarded by the International Society for Bayesian Analysis (ISBA) Statistical Rethinking: A Bayesian Course with Examples in R and Stan builds your knowledge of and confidence in making inferences from data. Reflecting the need for scripting in today's model-based statistics, the book pushes you to perform step-by-step calculations that are usually automated. This unique computational approach ensures that you understand enough of the details to make reasonable choices and interpretations in your own modeling work. The text presents causal inference and generalized linear multilevel models from a simple Bayesian perspective that builds on information theory and maximum entropy. The core material ranges from the basics of regression to advanced multilevel models. It also presents measurement error, missing data, and Gaussian process models for spatial and phylogenetic confounding. The second edition emphasizes the directed acyclic graph (DAG) approach to causal inference, integrating DAGs into many examples. The new edition also contains new material on the design of prior distributions, splines, ordered categorical predictors, social relations models, cross-validation, importance sampling, instrumental variables, and Hamiltonian Monte Carlo. It ends with an entirely new chapter that goes beyond generalized linear modeling, showing how domain-specific scientific models can be built into statistical analyses. Features Integrates working code into the main text. Illustrates concepts through worked data analysis examples. Emphasizes understanding assumptions and how assumptions are reflected in code. Offers more detailed explanations of the mathematics in optional sections. Presents examples of using the dagitty R package to analyze causal graphs. Provides the rethinking R package on the author's website and on GitHub.

Key Features

Ripensamento statistico: un corso bayesiano con esempi in R e STAN Chapman Hall/CRC Testi in Scienze statistiche

Tipologia di prodotto: ABIS BOOK

Marchio: CRC Press

Product Specifications

Brand: CRC Press
Format: Hardcover
ASIN: 036713991X
Category: Books > Subjects > Business, Finance & Law > Economics > Econometrics
Domain: Amazon UK
Release Date: 16 March 2020
Listed Since: 18 October 2019

Barcode

No barcode data available

CRC Press Statistical Rethinking: A Bayesian Course with Examples in R and STAN (Chapman & Hall/CRC Texts in Statistical Science)

This is the most expensive it has ever been. Walk away.

Price History & Forecast

Price Distribution

Price Analysis

Description

Key Features

Product Specifications

Barcode

Similar Products You Might Like

A First Course in Linear Model Theory (Chapman & Hall/CRC Texts in Statistical Science)

Richly Parameterized Linear Models: Additive, Time Series, and Spatial Models Using Random Effects (Chapman & Hall/CRC Texts in Statistical Science)

Fundamentals of Causal Inference: With R (Chapman & Hall/CRC Texts in Statistical Science)

Richly Parameterized Linear Models: Additive, Time Series, and Spatial Models Using Random Effects (Chapman & Hall/CRC Texts in Statistical Science)

The Effect: An Introduction to Research Design and Causality

Linear Mixed Models: A Practical Guide Using Statistical Software

Bayesian Survival Analysis (Springer Series in Statistics)

Hierarchical Linear Models: Applications and Data Analysis Methods: 1 (Advanced Quantitative Techniques in the Social Sciences)

Modern Applied Regressions: Bayesian and Frequentist Analysis of Categorical and Limited Response Variables with R and Stan (Chapman & Hall/CRC Statistics in the Social and Behavioral Sciences)

Bayesian Hierarchical Models: With Applications Using R, Second Edition

Explanation in Causal Inference: Methods for Mediation and Interaction

Beyond Multiple Linear Regression: Applied Generalized Linear Models And Multilevel Models in R (Chapman & Hall/CRC Texts in Statistical Science)

Data Analysis for Scientists and Engineers

Applied Missing Data Analysis, Second Edition (Methodology in the Social Sciences)

Exercises and Solutions in Statistical Theory: 99 (Chapman & Hall/CRC Texts in Statistical Science)

Chapman and Hall/CRC Statistical Analytics for Health Data Science

SOME RECENT ADVANCES IN MATHEMATICS AND STATISTICS - PROCEEDINGS OF STATISTICS 2011 CANADA/IMST 2011-FIM XX

Principles and Practice of Structural Equation Modeling, Fifth Edition (Methodology in the Social Sciences)

Springer - Selected Works of David Brillinger - Statistics Book

Statistics and Causality: Methods for Applied Empirical Research: 2 (Wiley Series in Probability and Statistics)

Principles and Practice of Structural Equation Modeling, Fifth Edition (Methodology in the Social Sciences)

Mathematical Statistics with Resampling and R

Inferential Models: Reasoning with Uncertainty (Chapman & Hall/CRC Monographs on Statistics and Applied Probability)

Multivariate Generalized Linear Mixed Models Using R