Machine learning is one of the leading areas of artificial intelligence. It concerns the study and development of quantitative models that enable a computer to carry out operations without having been expressly programmed to do so.In this s...Lasīt vairāk
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...Lasīt vairāk
Sērija : Elements in Quantitative and Computational Methods for the Social Sciences
(Izdošanas datums: 30-Sep-2025, Hardback, Izdevniecība: 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...Lasīt vairāk
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...Lasīt vairāk
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...Lasīt vairāk
A fascinating, witty, and perspective-shifting (Oliver Burkeman, New York Times bestselling author) tour of Bayess theorem and its global impact on modern life from the acclaimed science writer and author of The Rational...Lasīt vairāk
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...Lasīt vairāk
(Izdošanas datums: 03-Jul-2025, Hardback, Izdevniecība: 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...Lasīt vairāk
(Izdošanas datums: 03-Jun-2025, Hardback, Izdevniecība: 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...Lasīt vairāk
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...Lasīt vairāk
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...Lasīt vairāk
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...Lasīt vairāk
(Izdošanas datums: 07-Apr-2025, Hardback, Izdevniecība: 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...Lasīt vairāk
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...Lasīt vairāk
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...Lasīt vairāk
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...Lasīt vairāk
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...Lasīt vairāk
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....Lasīt vairāk
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...Lasīt vairāk
