This book offers a comprehensive discussion of the Bayesian inference framework and demonstrates why this probabilistic approach is ideal for tackling the various modelling pro...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
(Izdošanas datums: 01-Jun-2025, Other book format, Izdevniecība: Princeton University Press, ISBN-13: 9780691271453)
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
The book builds on the analogy between social groups and assemblies of molecules to introduce the concepts of statistical mechanics, machine learning and data science. Applying a data analytics approach to molecular systems, we show how individual...Lasīt vairāk
A fascinating intellectual history that takes a comparatively little-known but important idea and shows how it affects huge areas of our lives...Lasīt vairāk
This book provides a unifying approach to the study of statistical laws, critically evaluating their role in the theoretical understanding of complex systems and the different data-analysis methods used to evaluate them. Statistical laws describe...Lasīt vairāk
Sērija : Elements in Quantitative and Computational Methods for the Social Sciences
(Izdošanas datums: 24-Oct-2024, Hardback, Izdevniecība: Cambridge University Press, ISBN-13: 9781009494694)
In this Element, the authors introduce Bayesian probability and inference for social science students and practitioners starting from the absolute beginning and walk readers steadily through the Element. No previous knowledge is required other than t...Lasīt vairāk
In this Element, the authors introduce Bayesian probability and inference for social science students and practitioners starting from the absolute beginning and walk readers steadily through the Element. No previous knowledge is required other than t...Lasīt vairāk
Offering a step-by-step approach for applying the Nonparametric Method with the Bayesian Approach to model complex relationships occurring in Reliability Engineering, Quality Management, and Operations Research, it also discusses survival and cens...Lasīt vairāk
This book illustrates different techniques and structures that are used in knowledge representation and machine learning. The aim of this book is to draw the attention of graduates, researchers and practitioners working in field of information techno...Lasīt vairāk
(Izdošanas datums: 01-Sep-2024, Paperback / softback, Izdevniecība: Society for Industrial & Applied Mathematics,U.S., ISBN-13: 9781611978049)
Nonlocal models bypass classical PDE constraints by effectively capturing discontinuities and multiscale dynamics. Detailed analysis and discretization approaches in this work pave the way for practical applications in diffusion, fracture mechanics,...Lasīt vairāk
This presents recent advancements in probabilistic geotechnical site characterization. It reviews probability theories and models for cross correlation and spatial correlation, and presents methods for Bayesian parameter estimation and prediction....Lasīt vairāk
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 provide...Lasīt vairāk
This book presents fundamental relations between random walks on graphs and field theories of mathematical physics. Such relations have been explored for several decades and remain a rapidly developing research area in probability theory.Th...Lasīt vairāk
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...Lasīt vairāk
Presents modern Bayesian statistical models and methods for identifying treatments tailored to individual patients using their prognostic variables and predictive biomarkers. Bayesian Precision Medicine presents modern Bayesi...Lasīt vairāk
A fascinating intellectual history that takes a comparatively little-known but important idea and shows how it affects huge areas of our lives...Lasīt vairāk
This book provides a comprehensive review of novel adaptive trial designs for targeted therapies and immunotherapies. This book covers a wide range of novel statistical designs for various clinical settings, including early phase dose-escalation s...Lasīt vairāk
This book is devoted to a special class of engineering problems called Bayesian inverse problems. These problems comprise not only the probabilistic Bayesian formulation of engineering problems, but also the associated stochastic simulation...Lasīt vairāk
