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. U...Loe edasi...
This book provides a comprehensive coverage of the fundamentals of Bayesian inference from all important perspectives, namely theory, methods and computations. All theoretical results are presented as formal theorems, corollaries, lemmas etc., furni...Loe edasi...
Focused on various forms of time-to-event data methodologies, this book helps readers master the application of Bayesian mediation analysis using R. Across ten chapters, this book explores concepts of mediation analysis, survival analysis, accelerat...Loe edasi...
The primary objective of this book is to present a comprehensive treatment of uncertainty quantification in variational inequalities and some of its generalizations emerging from various network, economic, and engineering models. Some of the develop...Loe edasi...
Presents modern Bayesian statistical models and methods for identifying treatments tailored to individual patients using their prognostic variables and predictive biomarkers....Loe edasi...
This is the first book that focuses on the intersection of graph searching games and probabilistic methods. The book explores various applications of these powerful mathematical tools to games and processes. It also provides results, techniques, and...Loe edasi...
The second edition of this bestseller provides a practical and accessible introduction to the main concepts, foundation, and applications of Bayesian networks. This edition contains a new chapter on Bayesian network classifiers and a new section on...Loe edasi...
The book talks about Bayesian Reasoning and Gaussian Processes in machine learning applications. It contains recent advancement in machine learning and highlights the applications of machine learning algorithms. This book is primarily aimed at gradu...Loe edasi...
The Handbook of ABC provides illuminating insight into the world of Bayesian modelling for intractable models for both experts and newcomers alike. It is an essential reference book for anyone interested in learning about and implementing ABC techni...Loe edasi...
A thorough grounding in Markov chains and martingales is essential to dealing with the complex situations encountered in the study of discrete time stochastic processes. This book presents more than 100 exercises and problems related to martingales...Loe edasi...
A fair question to ask of an advocate of subjective Bayesianism (which the author is) is how would you model uncertainty? In this book, the author writes about how he has done it using real problems from the past, and offers additional comments ab...Loe edasi...
This text focuses on the simulation of stochastic processes in continuous time and their link with PDEs. It covers linear and nonlinear problems in biology, finance, geophysics, mechanics, chemistry, and other application areas. The text also thorou...Loe edasi...
This text shows students how probability has practical uses in many different fields, such as business, politics, and sports. It requires minimal mathematics training and no previous knowledge of probability. In the book, students learn about probab...Loe edasi...
This book presents the state-of-the-art in new developments of the Fuzzy Analytical Hierarchy Process (FAHP). The AHP is used around the world in a variety of decision situations- government, business, industry, healthcare, and education. This book...Loe edasi...
This is the first book to examine weakly stationary random fields and their connections with invariant subspaces (an area associated with functional analysis). It comprehensively reviews the current literature as well as presenting the central issue...Loe edasi...
What Makes Variables Random: Probability for the Applied Researcher provides an introduction to the foundations of probability that underlie the statistical analyses used in applied research. By explaining probability in terms of measure theory, it...Loe edasi...
This book offers reliability engineers a single source of introduction to the concepts, models, and case studies for making credible reliability assessments. It contains subjects and analyses that every reliability engineer should understand. Some,...Loe edasi...
This book develops appreciation of the ingenuity involved in the mathematical treatment of random phenomena, and of the power of the mathematical methods employed in the solution of applied problems. It is intended to students interested in applicat...Loe edasi...
Presents a basic model of the Bayesian implementation problem and summarizes and explains recent developments in this branch of implementation theory. Substantive problems of interest (public goods provision, auctions and bargaining) are special cas...Loe edasi...
