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Bayesian Inference in Statistical A...

George E. P. Box

Bayesian Inference in Statistical Analysis

Its main objective is to examine the application and relevance of Bayes' theorem to problems that arise in scientific investigation in which inferences must be made regarding parameter values about which little is known a priori. Begins with a discussion of some important general aspects of the Bayesian approach such as the choice of prior distribution, particularly noninformative prior distribution, the problem of nuisance parameters and the role of sufficient statistics, followed by many...

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George E. P. Box

Bayesian Inference in the Social Sc...

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Bayesian Inference in the Social Sciences

Presents new models, methods, and techniques and considers important real-world applications in political science, sociology, economics, marketing, and finance Emphasizing interdisciplinary coverage, Bayesian Inference in the Social Sciences builds upon the recent growth in Bayesian methodology and examines an array of topics in model formulation, estimation, and applications. The book presents recent and trending developments in a diverse, yet closely integrated, set of research topics within...

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Bayesian Methods for Management and...

Eugene D. Hahn

Bayesian Methods for Management and Business

HIGHLIGHTS THE USE OF BAYESIAN STATISTICS TO GAIN INSIGHTS FROM EMPIRICAL DATA Featuring an accessible approach, Bayesian Methods for Management and Business: Pragmatic Solutions for Real Problems demonstrates how Bayesian statistics can help to provide insights into important issues facing business and management. The book draws on multidisciplinary applications and examples and utilizes the freely available software WinBUGS and R to illustrate the integration of Bayesian statistics within...

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Eugene D. Hahn

Bayesian Methods for Structural Dyn...

Ka-Veng Yuen

Bayesian Methods for Structural Dynamics and Civil Engineering

Bayesian methods are a powerful tool in many areas of science and engineering, especially statistical physics, medical sciences, electrical engineering, and information sciences. They are also ideal for civil engineering applications, given the numerous types of modeling and parametric uncertainty in civil engineering problems. For example, earthquake ground motion cannot be predetermined at the structural design stage. Complete wind pressure profiles are difficult to measure under operating...

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Ka-Veng Yuen

Bayesian Modeling Using WinBUGS

Ioannis Ntzoufras

Bayesian Modeling Using WinBUGS

A hands-on introduction to the principles of Bayesian modeling using WinBUGS Bayesian Modeling Using WinBUGS provides an easily accessible introduction to the use of WinBUGS programming techniques in a variety of Bayesian modeling settings. The author provides an accessible treatment of the topic, offering readers a smooth introduction to the principles of Bayesian modeling with detailed guidance on the practical implementation of key principles. The book begins with a basic introduction to...

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Ioannis Ntzoufras

Bayesian Models for Categorical Dat...

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Bayesian Models for Categorical Data

The use of Bayesian methods for the analysis of data has grown substantially in areas as diverse as applied statistics, psychology, economics and medical science. Bayesian Methods for Categorical Data sets out to demystify modern Bayesian methods, making them accessible to students and researchers alike. Emphasizing the use of statistical computing and applied data analysis, this book provides a comprehensive introduction to Bayesian methods of categorical outcomes. * Reviews recent Bayesian...

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Bayesian Networks

Bruce Marcot

Bayesian Networks

Bayesian Networks, the result of the convergence of artificial intelligence with statistics, are growing in popularity. Their versatility and modelling power is now employed across a variety of fields for the purposes of analysis, simulation, prediction and diagnosis. This book provides a general introduction to Bayesian networks, defining and illustrating the basic concepts with pedagogical examples and twenty real-life case studies drawn from a range of fields including medicine, computing,...

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Bruce Marcot

Bayesian Networks for Probabilistic...

Franco Taroni

Bayesian Networks for Probabilistic Inference and Decision Analysis in Forensic Science

"This book should have a place on the bookshelf of every forensic scientist who cares about the science of evidence interpretation" Dr. Ian Evett, Principal Forensic Services Ltd, London, UK Continuing developments in science and technology mean that the amounts of information forensic scientists are able to provide for criminal investigations is ever increasing. The commensurate increase in complexity creates difficulties for scientists and lawyers with regard to evaluation and interpretation,...

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Franco Taroni

Bayesian Networks. An Introduction

Noble Wilford John

Bayesian Networks. An Introduction

Bayesian Networks: An Introduction provides a self-contained introduction to the theory and applications of Bayesian networks, a topic of interest and importance for statisticians, computer scientists and those involved in modelling complex data sets. The material has been extensively tested in classroom teaching and assumes a basic knowledge of probability, statistics and mathematics. All notions are carefully explained and feature exercises throughout. Features include: An introduction to...

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Noble Wilford John

Bayesian Statistical Modelling

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Bayesian Statistical Modelling

Bayesian methods combine the evidence from the data at hand with previous quantitative knowledge to analyse practical problems in a wide range of areas. The calculations were previously complex, but it is now possible to routinely apply Bayesian methods due to advances in computing technology and the use of new sampling methods for estimating parameters. Such developments together with the availability of freeware such as WINBUGS and R have facilitated a rapid growth in the use of Bayesian...

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Bayesian Statistics and Marketing

Rob McCulloch

Bayesian Statistics and Marketing

The past decade has seen a dramatic increase in the use of Bayesian methods in marketing due, in part, to computational and modelling breakthroughs, making its implementation ideal for many marketing problems. Bayesian analyses can now be conducted over a wide range of marketing problems, from new product introduction to pricing, and with a wide variety of different data sources. Bayesian Statistics and Marketing describes the basic advantages of the Bayesian approach, detailing the nature of...

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Rob McCulloch

Bayesian Statistics. An Introductio...

Peter Lee M.

Bayesian Statistics. An Introduction

Bayesian Statistics is the school of thought that combines prior beliefs with the likelihood of a hypothesis to arrive at posterior beliefs. The first edition of Peter Lee’s book appeared in 1989, but the subject has moved ever onwards, with increasing emphasis on Monte Carlo based techniques. This new fourth edition looks at recent techniques such as variational methods, Bayesian importance sampling, approximate Bayesian computation and Reversible Jump Markov Chain Monte Carlo (RJMCMC),...

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Peter Lee M.

Bayesian Theory

Adrian Smith F.M.

Bayesian Theory

This highly acclaimed text, now available in paperback, provides a thorough account of key concepts and theoretical results, with particular emphasis on viewing statistical inference as a special case of decision theory. Information-theoretic concepts play a central role in the development of the theory, which provides, in particular, a detailed discussion of the problem of specification of so-called prior ignorance . The work is written from the authors s committed Bayesian perspective, but an...

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Adrian Smith F.M.

Bedrohtes Paradies Wattenmeer

Ute Schlotterbeck

Bedrohtes Paradies Wattenmeer

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Ute Schlotterbeck

Befreite Schöpfung

Leonardo Boff

Befreite Schöpfung

Sind wir nur die Gestrandeten am Rand eines kalten, stumpfsinnigen Universums und das Produkt absurden Zufalls? Mark Hathaway und Leonardo Boff arbeiten in diesem Buch gründlich die Ergebnisse der neuen Kosmologie, der Quantenphysik, der Chaostheorie, der Biologie und der Geowissenschaften auf. Sie zeigen, dass der Prozess der Entwicklung des Kosmos selbst einen Sinn offenbart, dass unser Geist, unsere Liebesfähigkeit und unsere Empfindsamkeit im Kosmos selbst tief verankert sind. Der alten,...

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Leonardo Boff

Beginning Partial Differential Equa...

Peter V. O'Neil

Beginning Partial Differential Equations

A broad introduction to PDEs with an emphasis on specialized topics and applications occurring in a variety of fields Featuring a thoroughly revised presentation of topics, Beginning Partial Differential Equations, Third Edition provides a challenging, yet accessible, combination of techniques, applications, and introductory theory on the subjectof partial differential equations. The new edition offers nonstandard coverageon material including Burger’s equation, the telegraph equation, damped...

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Peter V. O'Neil

Behavioral Computational Social Sci...

Riccardo Boero

Behavioral Computational Social Science

This book is organized in two parts: the first part introduces the reader to all the concepts, tools and references that are required to start conducting research in behavioral computational social science. The methodological reasons for integrating the two approaches are also presented from the individual and separated viewpoints of the two approaches.The second part of the book, presents all the advanced methodological and technical aspects that are relevant for the proposed integration....

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Riccardo Boero

Benefits of Bayesian Network Models

Christophe Simon

Benefits of Bayesian Network Models

The application of Bayesian Networks (BN) or Dynamic Bayesian Networks (DBN) in dependability and risk analysis is a recent development. A large number of scientific publications show the interest in the applications of BN in this field. Unfortunately, this modeling formalism is not fully accepted in the industry. The questions facing today's engineers are focused on the validity of BN models and the resulting estimates. Indeed, a BN model is not based on a specific semantic in dependability but...

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Christophe Simon

Berechnungen in der Chemie und Verf...

Wolfgang Schmidt

Berechnungen in der Chemie und Verfahrenstechnik mit Excel und VBA

Mit diesem Arbeitsbuch lernt der Anwender numerische Methoden in Excel-VBA kennen und zur Losung von Problemen und Aufgabenstellungen aus Chemie und Verfahrenstechnik einzusetzen. Dabei steht die Anwendung auf einfache, grundlegende verfahrenstechnische Berechnungsmethoden im Vordergrund. Nach einer kurzen Einfuhrung in Excel, Makros und die VBA-Programmierung, werden mathematische Methoden behandelt, die zur Berechnung verfahrenstechnischer und chemischer Problemstellungen erforderlich sind....

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Wolfgang Schmidt

Bethink Yourselves!

Leo Tolstoy

Bethink Yourselves!

"Bethink Yourselves!" by Leo Tolstoy (translated by V. Tchertkoff). Published by Good Press. Good Press publishes a wide range of titles that encompasses every genre. From well-known classics & literary fiction and non-fiction to forgotten−or yet undiscovered gems−of world literature, we issue the books that need to be read. Each Good Press edition has been meticulously edited and formatted to boost readability for all e-readers and devices. Our goal is to produce eBooks that are...

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Leo Tolstoy

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