Bayesian inference

Harmonic Analysis and the Theory of Probability by Salomon Bochner is a landmark monograph that rigorously links two central domains of modern mathematics: Fourier analysis and probability theory.

This Element highlights the archaeology of methods developed in chemometrics, artificial intelligence, and Bayesian statistics.

This book describes how Bayesian methods work.

This book describes how Bayesian methods work.

This book represents a compilation of experience from a slate of experts involved in developing and deploying Bayesian Networks (BN) for corrosion management.

This book represents a compilation of experience from a slate of experts involved in developing and deploying Bayesian Networks (BN) for corrosion management.

The idea of the book is to present a text that is useful for both students of quantitative sciences and practitioners who work with univariate or multivariate probabilistic models.

The idea of the book is to present a text that is useful for both students of quantitative sciences and practitioners who work with univariate or multivariate probabilistic models.

This book focuses on the statistical modeling of geophysical and environmental data using Bayesian latent Gaussian models.

This comprehensive book covers a wide variety of methods for estimating the sizes and related parameters of closed populations.

This book hosts the results presented at the 6th Bayesian Young Statisticians Meeting 2022 in Montreal, Canada, held on June 22-23, titled "e;Bayesian Statistics, New Generations New Approaches"e;.

This book hosts the results presented at the 6th Bayesian Young Statisticians Meeting 2022 in Montreal, Canada, held on June 22-23, titled "e;Bayesian Statistics, New Generations New Approaches"e;.

This book focuses on the statistical modeling of geophysical and environmental data using Bayesian latent Gaussian models.

This book provides an account of weak convergence theory, empirical processes, and their application to a wide variety of problems in statistics.

This book presents recent advances of Bayesian inference in structured tensor decompositions.

This book presents recent advances of Bayesian inference in structured tensor decompositions.

This book introduces the concept of "e;bespoke learning"e;, a new mechanistic approach that makes it possible to generate values of an output variable at each designated value of an associated input variable.

This book collects select chapters on modern industrial problems related to uncertainties and vagueness in the expert domain of knowledge.

The volume contains articles that should appeal to readers with computational, modeling, theoretical, and applied interests.

This book introduces readers to Bayesian optimization, highlighting advances in the field and showcasing its successful applications to computer experiments.

This book provides a coherent framework for understanding shrinkage estimation in statistics.

Presenting a range of substantive applied problems within Bayesian Statistics along with their Bayesian solutions, this book arises from a research program at CIRM in France in the second semester of 2018, which supported Kerrie Mengersen as a visiting Jean-Morlet Chair and Pierre Pudlo as the local Research Professor.

This book provides a comprehensive treatment of the logic behind hypothesis testing.

This book brings together a variety of non-Gaussian autoregressive-type models to analyze time-series data.

This book provides an overview of the emerging topics in biostatistical theories and methods through their applications to evidence-based global health research and decision-making.

This book collects select chapters on modern industrial problems related to uncertainties and vagueness in the expert domain of knowledge.

This book provides a quick but insightful introduction to Bayesian tracking and particle filtering for a person who has some background in probability and statistics and wishes to learn the basics of single-target tracking.

This book provides a quick but insightful introduction to Bayesian tracking and particle filtering for a person who has some background in probability and statistics and wishes to learn the basics of single-target tracking.

An Introduction to Stochastic Modeling, Student Solutions Manual (e-only)

This comprehensive book covers a wide variety of methods for estimating the sizes and related parameters of closed populations.

The volume includes a collection of peer-reviewed contributions from among those presented at the main conference organized yearly by the Mexican Statistical Association (AME) and every two years by a Latin-American Confederation of Statistical Societies.

This book provides an extensive coverage of the methodology of survival analysis, ranging from introductory level material to deeper more advanced topics.

This monograph focuses on those stochastic quickest detection tasks in disorder problems that arise in the dynamical analysis of statistical data.

Bayesian analysis is one of the important tools for statistical modelling and inference.

This book describes how Bayesian methods work.

The book shows how risk, defined as the statistical expectation of loss, can be formally decomposed as the product of two terms: hazard probability and system vulnerability.

This edited collection brings together internationally recognized experts in a range of areas of statistical science to honor the contributions of the distinguished statistician, Barry C.

These lecture notes provide a rapid, accessible introduction to Bayesian statistical methods.

This book presents the refereed proceedings of the Twelfth International Conference on Monte Carlo and Quasi-Monte Carlo Methods in Scientific Computing that was held at Stanford University (California) in August 2016.

This book discusses all major topics on survey sampling and estimation.

Fault diagnosis is useful for technicians to detect, isolate, identify faults, and troubleshoot.

This book first provides a review of various aspects of Bayesian statistics.

This book presents the basic concepts of survival analysis and frailty models, covering both fundamental and advanced topics.