Introduction to Statistical Decision Theory: Utility Theory and Causal Analysis by Bacci, Silvia

Introduction to Statistical Decision Theory: Utility Theory and Causal Analysis (Paperback) (ISBN-13: 9781032091754)

Vendor: Silvia Bacci
Product type: Books
Format: Paperback
$61.99
$61.99
$61.99
Subtotal: $61.99
Introduction to Statistical Decision Theory: Utility Theory and Causal Analysis by Bacci, Silvia

Introduction to Statistical Decision Theory: Utility Theory and Causal Analysis

$61.99
Introduction to Statistical Decision Theory: Utility Theory and Causal Analysis by Bacci, Silvia

Introduction to Statistical Decision Theory: Utility Theory and Causal Analysis

$61.99
Format: Paperback
Description
Description
x

Introduction to Statistical Decision Theory: Utility Theory and Causal Analysis provides the theoretical background to approach decision theory from a statistical perspective. It covers both traditional approaches, in terms of value theory and expected utility theory, and recent developments, in terms of causal inference. The book is specifically designed to appeal to students and researchers that intend to acquire a knowledge of statistical science based on decision theory.

Features

  • Covers approaches for making decisions under certainty, risk, and uncertainty

  • Illustrates expected utility theory and its extensions

  • Describes approaches to elicit the utility function

  • Reviews classical and Bayesian approaches to statistical inference based on decision theory

  • Discusses the role of causal analysis in statistical decision theory



Author: Silvia Bacci, Bruno Chiandotto
ISBN-10: 1032091754
ISBN-13: 9781032091754
Publisher: CRC Press
Language: English
Published: 06/30/2021
Pages: 304
Format: Paperback
Weight: 1.10lbs
Size: 9.20h x 6.10w x 0.70d
By Silvia Bacci
By Silvia Bacci
x

Silvia Bacci is Assistant Professor of Statistics at the Department of Statistics, Computer Science and Applications "G. Parenti", University of Florence (Italy). Her research interests are addressed to statistical decision theory, with focus on utility theory, and latent variable models, with focus on item response theory models, latent class models, and models for longitudinal and multilevel data.

Bruno Chiandotto is adjunct Full Professor of Statistics at the Department of Statistics, Computer Science and Applications "G. Parenti", University of Florence (Italy). He is mainly interested in the definition and estimation of linear and nonlinear statistical models, multivariate data analysis, customer satisfaction, causal analysis, statistical decision theory and utility theory. A large part of his research activity has been carried out under projects funded by international, national and local institutions.

Recently Viewed Products