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This book deals with measurements and understanding, evaluating, and reporting uncertainties. Its goal is to present fundamental concepts rather than delve into professional expertise. It does not include formal axiomatisation, rigorous proofs, or demonstrations,...
Editeur :
Springer
Parution :
2026-02-23
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This book consolidates knowledge on regression chain graph models, often referred to as regression graph models, with a particular emphasis on their parameterizations and inference for the analysis of categorical data. It presents regression graphs, their interpretation...
Editeur :
Springer
Parution :
2025-11-13
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This open access book is a comprehensive guide that delves into the statistical methodologies used in public health and infectious disease surveillance. It contrasts the foundational principles and methodologies of both Bayesian and Frequentist statistical approaches,...
Editeur :
Springer
Parution :
2025-10-28
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The original contributions on Bayesian econometrics gathered in this book pay tribute to Sune Karlsson, celebrating his significant work in time series econometrics and its applications in macroeconomics and finance.The volume consists of both methodological and...
Editeur :
Springer
Parution :
2025-10-13
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The book provides a comprehensive review of multiple information sources and multi-fidelity Bayesian optimization, specifically focusing on the novel "Augmented Gaussian Process” methodology.The book is important to clarify the relations and the important differences in...
Editeur :
Springer
Parution :
2025-08-30
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This book presents a wide range of topics to address the needs of several groups of users of rapidly growing methods of generalized linear models. Since the introduction of the idea of generalized linear models (GLM) in early seventies, during the past four decades the...
Editeur :
Springer
Parution :
2025-04-30
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This book explains the importance of using the probability that the hypothesis is correct (PHC), an intuitive measure that anyone can understand, as an alternative to the p-value. In order to overcome the “reproducibility crisis” caused by the misuse of...
Editeur :
Springer
Parution :
2024-10-28
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This book is about the interplay between chance and order, but limited to mostly binary events, such as success/failure as they occur in a diversity of interesting applications. The goal is to entertain and instruct with topics that range from unexpected encounters with...
Editeur :
Springer
Parution :
2024-10-24
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This book is a compilation of unpublished papers written by Jean-Marie Rolin (with several co-authors) on nonparametric bayesian estimation. Jean-Marie was professor of statistics at University of Louvain and died on November...
Editeur :
Springer
Parution :
2024-10-21
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This volume on the latest developments in statistical modelling is a collection of refereed papers presented at the 38th International Workshop on Statistical Modelling, IWSM 2024, held from 14 to 19 July 2024 in Durham, UK. The contributions cover a wide range of...
Editeur :
Springer
Parution :
2024-07-11
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This book represents a compilation of experience from a slate of experts involved in developing and deploying Bayesian Networks (BN) for corrosion management. The contributors describe how probability distributions can be developed for corroding systems and BN can be...
Editeur :
Springer
Parution :
2024-06-29
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This book is a rigorous but practical presentation of the Bayesian techniques of uncertainty quantification, with applications in R.This volume includes mathematical arguments at the level necessary to make the presentation rigorous and the assumptions clearly...
Editeur :
Springer
Parution :
2024-05-06
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This comprehensive book covers a wide variety of methods for estimating the sizes and related parameters of closed populations. With the effect of climate change, and human territory invasion, we have seen huge species losses and a major biodiversity decline....
Editeur :
Springer
Parution :
2023-12-01
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This book hosts the results presented at the 6th Bayesian Young Statisticians Meeting 2022 in Montréal, Canada, held on June 22–23, titled "Bayesian Statistics, New Generations New Approaches".This collection features selected peer-reviewed contributions that showcase...
Editeur :
Springer
Parution :
2023-11-29
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This book focuses on the statistical modeling of geophysical and environmental data using Bayesian latent Gaussian models. The structure of these models is described in a thorough introductory chapter, which explains how to construct prior densities for the model...
Editeur :
Springer
Parution :
2023-11-08
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This book provides a self-contained introduction of Stein/shrinkage estimation for the mean vector of a multivariate normal distribution. The book begins with a brief discussion of basic notions and results from decision theory such as admissibility, minimaxity, and...
Editeur :
Springer
Parution :
2023-09-29
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M-STATISTICS A comprehensive resource providing new statistical methodologies and demonstrating how new approaches work for applications M-statistics introduces a new approach to statistical inference, redesigning the fundamentals of statistics, and improving on the...
Editeur :
Wiley
Parution :
2023-08-01
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This book introduces the concept of “bespoke learning”, a new mechanistic approach that makes it possible to generate values of an output variable at each designated value of an associated input variable. Here the output variable generally provides information about the...
Editeur :
Springer
Parution :
2023-07-13
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This book provides an account of weak convergence theory, empirical processes, and their application to a wide variety of problems in statistics. The first part of the book presents a thorough treatment of stochastic convergence in its various forms. Part 2 brings...
Editeur :
Springer
Parution :
2023-07-11
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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. It also introduces the reader to multiple...
Editeur :
Springer
Parution :
2023-05-31
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