Andrew Gelman, Martin Modrák, Aki Vehtari, Richard McElreath, Daniel Simpson, Charles C. Margossian, Yuling Yao, Lauren Kennedy, Jonah Gabry, Paul-Christian Bürkner...
Explores the intricate workflows of applied Bayesian statistics, aiming to uncover the tacit knowledge often overlooked in published papers and textbooks. By systematizing the process of Bayesian model development, the book seeks to improve applied...Loe edasi...
Andrew Gelman, Martin Modrák, Aki Vehtari, Richard McElreath, Daniel Simpson, Charles C. Margossian, Yuling Yao, Lauren Kennedy, Jonah Gabry, Paul-Christian Bürkner...
Explores the intricate workflows of applied Bayesian statistics, aiming to uncover the tacit knowledge often overlooked in published papers and textbooks. By systematizing the process of Bayesian model development, the book seeks to improve applied...Loe edasi...
This book examines the issues of misclassification in epidemiology. It includes some solutions to the old and new issues of misclassification in a variety of epidemiologic design studies. The book is separated into five parts: Part I focu...Loe edasi...
This book is a reconstruction of Masafumi Akahiras works on statistical estimation and its related fields, especially higher order asymptotics and non-regular cases with consideration based on information amounts. There have been few books on higher...Loe edasi...
This book provides a comprehensive and practical guide to fitting complex Bayesian survival, longitudinal and joint models using the Integrated Nested Laplace Approximations (INLA) methodology, a powerful and computationally efficient alternative...Loe edasi...
This thesis breaks new ground in supernova type Ia cosmology, developing novel and powerful machine-learning methods scalable to the next generation of astronomical surveys. It demonstrates the feasibility of a fully simulation-based approach to inf...Loe edasi...
(Ilmumisaeg: 23-Apr-2026, Hardback, Kirjastus: Cambridge University Press, ISBN-13: 9781009470315)
This Element introduces PrInDT, a decision-tree method for modeling extra- and intralinguistic variables in World Englishes. It balances interpretability and accuracy, handles unbalanced classes, supports classification and regression, and analyzes...Loe edasi...
This Element introduces PrInDT, a decision-tree method for modeling extra- and intralinguistic variables in World Englishes. It balances interpretability and accuracy, handles unbalanced classes, supports classification and regression, and analyzes...Loe edasi...
This book provides a comprehensive treatment of the logic behind hypothesis testing. This updated edition covers frequentist (classical) and Bayesian approaches to interpretation of the results of a statistical hypothesis test. In a new chapter, non...Loe edasi...
This book examines statistical models for frequency data. The primary focus is on log-linear models for contingency tables but also includes extensive discussion of logistic regression. Topics such as logistic discrimination, generalized linear mo...Loe edasi...
Bayesian Analysis of Capture-Recapture Data with Hidden Markov Models: Theory and Case Studies in R and NIMBLE introduces ecologists and statisticians to a powerful and unifying framework for analyzing capture-recapture data. Hidden Markov...Loe edasi...
This Element introduces the basics of Bayesian regression modeling using modern computational tools and assumes that the reader has taken a basic statistics course and has seen Bayesian inference at the introductory level. The sections cover theoret...Loe edasi...
Sari: Elements in Quantitative and Computational Methods for the Social Sciences
(Ilmumisaeg: 19-Mar-2026, Hardback, Kirjastus: Cambridge University Press, ISBN-13: 9781009598446)
This Element introduces the basics of Bayesian regression modeling using modern computational tools and assumes that the reader has taken a basic statistics course and has seen Bayesian inference at the introductory level. The sections cover theoret...Loe edasi...
War is far more likely to occur in countries where women lack equal standing in society. Focusing on gendered political inequality, this Element takes a large-N approach to exploring whether inequality variation in states at conflict leads to variat...Loe edasi...
(Ilmumisaeg: 05-Mar-2026, Hardback, Kirjastus: Cambridge University Press, ISBN-13: 9781009539586)
War is far more likely to occur in countries where women lack equal standing in society. Focusing on gendered political inequality, this Element takes a large-N approach to exploring whether inequality variation in states at conflict leads to variat...Loe edasi...
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 d...Loe edasi...
This book consolidates knowledge on regression chain graph models, often referred to as regression graph models, with a particular emphasis on their parameterizations and in...Loe edasi...
(Ilmumisaeg: 11-Nov-2025, Hardback, Kirjastus: Yale University Press, ISBN-13: 9780300250503)
An award-winning astrophysicist looks at how the understanding of uncertainty and randomness has led to breakthroughs in our knowledge of the cosmos All of us understand the world around us by constructing models, comparing them to o...Loe edasi...
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 st...Loe edasi...
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 unexp...Loe edasi...
This graduate textbook on the statistical approach to data science describes the basic ideas, scientific principles and common techniques for the extraction of mathematical models from observed data. Aimed at young scientists, and motivated by their...Loe edasi...
Hierarchical Modeling and Analysis for Spatial Data, Third Edition is the 3rd edition of this popular and authoritative text on Bayesian modeling and inference for spatial and spatial-temporal data. The text presents a comprehensive presents a compr...Loe edasi...
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...Loe edasi...
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 cove...Loe edasi...
A “fascinating, witty, and perspective-shifting” (Oliver Burkeman, New York Times bestselling author) tour of Bayes’s theorem and its global impact on modern life from the acclaimed science writer and author of The Rational...Loe edasi...
For nearly a century, researchers have gathered data that has been interpreted as supporting the notion of a hierarchical ordering of the senses. This Element tests this proposal in the first-ever meta-analysis of linguistic synesthesias, combining...Loe edasi...
(Ilmumisaeg: 03-Jul-2025, Hardback, Kirjastus: Cambridge University Press, ISBN-13: 9781009519168)
For nearly a century, researchers have gathered data that has been interpreted as supporting the notion of a hierarchical ordering of the senses. This Element tests this proposal in the first-ever meta-analysis of linguistic synesthesias, combining...Loe edasi...
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 s...Loe edasi...
(Ilmumisaeg: 03-Jun-2025, Hardback, Kirjastus: Princeton University Press, ISBN-13: 9780691250120)
A fully updated and expanded edition of the essential primer on Bayesian modeling for ecologistsUniquely suited to deal with complexity in a statistically coherent way, Bayesian modeling has become an indispensable tool for ecological research. This...Loe edasi...
Andrew Gelman, Martin Modrák, Aki Vehtari, Richard McElreath, Daniel Simpson, Charles C. Margossian, Yuling Yao, Lauren Kennedy, Jonah Gabry, Paul-Christian Bürkner...
Explores the intricate workflows of applied Bayesian statistics, aiming to uncover the tacit knowledge often overlooked in published papers and textbooks. By systematizing the process of Bayesian model development, the book seeks to improve applied...Loe edasi...
Andrew Gelman, Martin Modrák, Aki Vehtari, Richard McElreath, Daniel Simpson, Charles C. Margossian, Yuling Yao, Lauren Kennedy, Jonah Gabry, Paul-Christian Bürkner...
Explores the intricate workflows of applied Bayesian statistics, aiming to uncover the tacit knowledge often overlooked in published papers and textbooks. By systematizing the process of Bayesian model development, the book seeks to improve applied...Loe edasi...
This book examines the issues of misclassification in epidemiology. It includes some solutions to the old and new issues of misclassification in a variety of epidemiologic design studies. The book is separated into five parts: Part I focu...Loe edasi...
This book is a reconstruction of Masafumi Akahiras works on statistical estimation and its related fields, especially higher order asymptotics and non-regular cases with consideration based on information amounts. There have been few books on higher...Loe edasi...
This book provides a comprehensive and practical guide to fitting complex Bayesian survival, longitudinal and joint models using the Integrated Nested Laplace Approximations (INLA) methodology, a powerful and computationally efficient alternative...Loe edasi...
This thesis breaks new ground in supernova type Ia cosmology, developing novel and powerful machine-learning methods scalable to the next generation of astronomical surveys. It demonstrates the feasibility of a fully simulation-based approach to inf...Loe edasi...
(Ilmumisaeg: 23-Apr-2026, Hardback, Kirjastus: Cambridge University Press, ISBN-13: 9781009470315)
This Element introduces PrInDT, a decision-tree method for modeling extra- and intralinguistic variables in World Englishes. It balances interpretability and accuracy, handles unbalanced classes, supports classification and regression, and analyzes...Loe edasi...
This Element introduces PrInDT, a decision-tree method for modeling extra- and intralinguistic variables in World Englishes. It balances interpretability and accuracy, handles unbalanced classes, supports classification and regression, and analyzes...Loe edasi...
This book provides a comprehensive treatment of the logic behind hypothesis testing. This updated edition covers frequentist (classical) and Bayesian approaches to interpretation of the results of a statistical hypothesis test. In a new chapter, non...Loe edasi...
This book examines statistical models for frequency data. The primary focus is on log-linear models for contingency tables but also includes extensive discussion of logistic regression. Topics such as logistic discrimination, generalized linear mo...Loe edasi...
Bayesian Analysis of Capture-Recapture Data with Hidden Markov Models: Theory and Case Studies in R and NIMBLE introduces ecologists and statisticians to a powerful and unifying framework for analyzing capture-recapture data. Hidden Markov...Loe edasi...
This Element introduces the basics of Bayesian regression modeling using modern computational tools and assumes that the reader has taken a basic statistics course and has seen Bayesian inference at the introductory level. The sections cover theoret...Loe edasi...
Sari: Elements in Quantitative and Computational Methods for the Social Sciences
(Ilmumisaeg: 19-Mar-2026, Hardback, Kirjastus: Cambridge University Press, ISBN-13: 9781009598446)
This Element introduces the basics of Bayesian regression modeling using modern computational tools and assumes that the reader has taken a basic statistics course and has seen Bayesian inference at the introductory level. The sections cover theoret...Loe edasi...
(Ilmumisaeg: 13-Mar-2026, Paperback / softback, Kirjastus: Society for Industrial & Applied Mathematics,U.S., ISBN-13: 9781611978810)
Centering on computational strategies for inverse problems governed by partial differential equations, the text unifies deterministic inversion techniques with Bayesian methods. It delves into post optimality sensitivity analysis, optimal experiment...Loe edasi...
War is far more likely to occur in countries where women lack equal standing in society. Focusing on gendered political inequality, this Element takes a large-N approach to exploring whether inequality variation in states at conflict leads to variat...Loe edasi...
(Ilmumisaeg: 05-Mar-2026, Hardback, Kirjastus: Cambridge University Press, ISBN-13: 9781009539586)
War is far more likely to occur in countries where women lack equal standing in society. Focusing on gendered political inequality, this Element takes a large-N approach to exploring whether inequality variation in states at conflict leads to variat...Loe edasi...
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 d...Loe edasi...
This book consolidates knowledge on regression chain graph models, often referred to as regression graph models, with a particular emphasis on their parameterizations and in...Loe edasi...
(Ilmumisaeg: 11-Nov-2025, Hardback, Kirjastus: Yale University Press, ISBN-13: 9780300250503)
An award-winning astrophysicist looks at how the understanding of uncertainty and randomness has led to breakthroughs in our knowledge of the cosmos All of us understand the world around us by constructing models, comparing them to o...Loe edasi...
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 st...Loe edasi...
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 unexp...Loe edasi...
This graduate textbook on the statistical approach to data science describes the basic ideas, scientific principles and common techniques for the extraction of mathematical models from observed data. Aimed at young scientists, and motivated by their...Loe edasi...
Hierarchical Modeling and Analysis for Spatial Data, Third Edition is the 3rd edition of this popular and authoritative text on Bayesian modeling and inference for spatial and spatial-temporal data. The text presents a comprehensive presents a compr...Loe edasi...
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...Loe edasi...
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 cove...Loe edasi...
A “fascinating, witty, and perspective-shifting” (Oliver Burkeman, New York Times bestselling author) tour of Bayes’s theorem and its global impact on modern life from the acclaimed science writer and author of The Rational...Loe edasi...
For nearly a century, researchers have gathered data that has been interpreted as supporting the notion of a hierarchical ordering of the senses. This Element tests this proposal in the first-ever meta-analysis of linguistic synesthesias, combining...Loe edasi...
(Ilmumisaeg: 03-Jul-2025, Hardback, Kirjastus: Cambridge University Press, ISBN-13: 9781009519168)
For nearly a century, researchers have gathered data that has been interpreted as supporting the notion of a hierarchical ordering of the senses. This Element tests this proposal in the first-ever meta-analysis of linguistic synesthesias, combining...Loe edasi...
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 s...Loe edasi...
(Ilmumisaeg: 03-Jun-2025, Hardback, Kirjastus: Princeton University Press, ISBN-13: 9780691250120)
A fully updated and expanded edition of the essential primer on Bayesian modeling for ecologistsUniquely suited to deal with complexity in a statistically coherent way, Bayesian modeling has become an indispensable tool for ecological research. This...Loe edasi...
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 assum...Loe edasi...
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 mo...Loe edasi...
(Ilmumisaeg: 18-Apr-2025, Hardback, Kirjastus: Springer International Publishing AG, ISBN-13: 9783031690372)
This book examines statistical models for frequency data. The primary focus is on log-linear models for contingency tables but also includes extensive discussion of logistic regression. Topics such as logistic discrimination, generalized linear...Loe edasi...
(Ilmumisaeg: 07-Apr-2025, Hardback, Kirjastus: World Scientific Publishing Co Pte Ltd, ISBN-13: 9789819802036)
Bayesian A/B Decision Models encapsulates J Christopher Westlands deep expertise in algorithmic decision-making, honed through years of experience in specialized fields like auditing and serving as an expert witness in computing damages for corpora...Loe edasi...
(Ilmumisaeg: 31-Mar-2025, Hardback, Kirjastus: Springer International Publishing AG, ISBN-13: 9783031785047)
This book offers a comprehensive reference guide to neutrosophic theory and its applications in decision-making in numerous disciplines, ranging from business, economics and management, computer science, health and environmental sciences, and many...Loe edasi...
Designed for researchers and graduate students in machine learning, this book introduces the theory of variational Bayesian learning, a popular machine learning method, and suggests how to make use of it in practice. Detailed derivations allow reader...Loe edasi...
(Ilmumisaeg: 28-Jan-2025, Hardback, Kirjastus: Springer International Publishing AG, ISBN-13: 9783031789861)
This book provides a comprehensive overview of statistical approaches for the assessment of complex environmental exposures, such as pollutants and chemical mixtures, within the exposome framework. Environmental mixtures are defined as groups of 3...Loe edasi...
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 biodivers...Loe edasi...
This book hosts the results presented at the 6th Bayesian Young Statisticians Meeting 2022 in Montréal, Canada, held on June 2223, titled Bayesian Statistics, New Generations New Approaches....Loe edasi...
Reliability and maintenance modeling with optimization is the most fundamental and interdisciplinary research area and it can be applied to every technical and management field. This monograph provides the most recent advances and achievements in...Loe edasi...
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 de...Loe edasi...
(Ilmumisaeg: 31-Oct-2024, Hardback, Kirjastus: Springer International Publishing AG, ISBN-13: 9783031645174)
The book introduces a series of state-of-art Bayesian models that can be used to understand and predict spatially structured population dynamics in our changing world. Several chapters are devoted to introducing models that utilize detection/non-d...Loe edasi...
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 b...Loe edasi...
Sari: Quantitative Methods in the Humanities and Social Sciences
(Ilmumisaeg: 25-Oct-2024, Hardback, Kirjastus: Springer International Publishing AG, ISBN-13: 9783031700507)
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 une...Loe edasi...
(Ilmumisaeg: 22-Oct-2024, Hardback, Kirjastus: Springer International Publishing AG, ISBN-13: 9783031613289)
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 5th, 2018. He made im...Loe edasi...
(Ilmumisaeg: 08-Oct-2024, Hardback, Kirjastus: Springer International Publishing AG, ISBN-13: 9783031666186)
This graduate textbook on the statistical approach to data science describes the basic ideas, scientific principles and common techniques for the extraction of mathematical models from observed data. Aimed at young scientists, and motivated by the...Loe edasi...
The book deals with the application of various measures of information like the entropy, divergence, inaccuracy, etc. in modelling lifetimes of devices or equipment in reliability analysis. This is an emerging area of study and research during the...Loe edasi...
This textbook will continue to be the best suitable textbook written specifically for a first course on probability theory and designed for industrial engineering and operations management students. It offers theory in an accessible manner and inc...Loe edasi...
