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Probability Matching Priors: Higher Order Asymptotics
  • Language: en
  • Pages: 138

Probability Matching Priors: Higher Order Asymptotics

This is the first book on the topic of probability matching priors. It targets researchers, Bayesian and frequentist; graduate students in Statistics.

Opportunities and Challenges in Development
  • Language: en
  • Pages: 573

Opportunities and Challenges in Development

This book provides a broad overview of the current research on various aspects of development, with a focus on India. The content and treatment of the subject of development in this volume is distinctive in many ways. It is a balanced mix of theory and practical elements, dealing with a number of issues at micro as well as macro levels. The analyses of the current socio-economic problems are attempted in an elegant yet simple manner which makes it equally useful for an aspiring researcher in economics or any inter disciplinary field. The methodologies of the articles include analytical verbal argumentative logic, theoretical constructs or different versions of statistical, econometric or pro...

Copula Theory and Its Applications
  • Language: en
  • Pages: 338

Copula Theory and Its Applications

Copulas are mathematical objects that fully capture the dependence structure among random variables and hence offer great flexibility in building multivariate stochastic models. Since their introduction in the early 50's, copulas have gained considerable popularity in several fields of applied mathematics, such as finance, insurance and reliability theory. Today, they represent a well-recognized tool for market and credit models, aggregation of risks, portfolio selection, etc. This book is divided into two main parts: Part I - "Surveys" contains 11 chapters that provide an up-to-date account of essential aspects of copula models. Part II - "Contributions" collects the extended versions of 6 talks selected from papers presented at the workshop in Warsaw.

Bayesian Thinking, Modeling and Computation
  • Language: en
  • Pages: 1062

Bayesian Thinking, Modeling and Computation

  • Type: Book
  • -
  • Published: 2005-11-29
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  • Publisher: Elsevier

This volume describes how to develop Bayesian thinking, modelling and computation both from philosophical, methodological and application point of view. It further describes parametric and nonparametric Bayesian methods for modelling and how to use modern computational methods to summarize inferences using simulation. The book covers wide range of topics including objective and subjective Bayesian inferences with a variety of applications in modelling categorical, survival, spatial, spatiotemporal, Epidemiological, software reliability, small area and micro array data. The book concludes with a chapter on how to teach Bayesian thoughts to nonstatisticians. Critical thinking on causal effects Objective Bayesian philosophy Nonparametric Bayesian methodology Simulation based computing techniques Bioinformatics and Biostatistics

An Introduction to Copulas
  • Language: en
  • Pages: 227

An Introduction to Copulas

Copulas are functions that join multivariate distribution functions to their one-dimensional margins. The study of copulas and their role in statistics is a new but vigorously growing field. In this book the student or practitioner of statistics and probability will find discussions of the fundamental properties of copulas and some of their primary applications. The applications include the study of dependence and measures of association, and the construction of families of bivariate distributions. With nearly a hundred examples and over 150 exercises, this book is suitable as a text or for self-study. The only prerequisite is an upper level undergraduate course in probability and mathematical statistics, although some familiarity with nonparametric statistics would be useful. Knowledge of measure-theoretic probability is not required. Roger B. Nelsen is Professor of Mathematics at Lewis & Clark College in Portland, Oregon. He is also the author of "Proofs Without Words: Exercises in Visual Thinking," published by the Mathematical Association of America.

Space, Structure and Randomness
  • Language: en
  • Pages: 402

Space, Structure and Randomness

Space, structure, and randomness: these are the three key concepts underlying Georges Matheron’s scientific work. He first encountered them at the beginning of his career when working as a mining engineer, and then they resurfaced in fields ranging from meteorology to microscopy. What could these radically different types of applications possibly have in common? First, in each one only a single realisation of the phenomenon is available for study, but its features repeat themselves in space; second, the sampling pattern is rarely regular, and finally there are problems of change of scale. This volume is divided in three sections on random sets, geostatistics and mathematical morphology. Th...

Information Systems Development
  • Language: en
  • Pages: 575

Information Systems Development

Information Systems Development (ISD) progresses rapidly, continually creating new challenges for the professionals involved. New concepts, approaches and techniques of systems development emerge constantly in this field. Progress in ISD comes from research as well as from practice. This conference will discuss issues pertaining to information systems development (ISD) in the inter-networked digital economy. Participants will include researchers, both experienced and novice, from industry and academia, as well as students and practitioners. Themes will include methods and approaches for ISD; ISD education; philosophical, ethical, and sociological aspects of ISD; as well as specialized tracks such as: distributed software development, ISD and knowledge management, ISD and electronic business / electronic government, ISD in public sector organizations, IOS.

Dependence in Probability and Statistics
  • Language: en
  • Pages: 222

Dependence in Probability and Statistics

This account of recent works on weakly dependent, long memory and multifractal processes introduces new dependence measures for studying complex stochastic systems and includes other topics such as the dependence structure of max-stable processes.

Proceedings
  • Language: en
  • Pages: 1202

Proceedings

  • Type: Book
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  • Published: 1996
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  • Publisher: Unknown

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Weak Dependence: With Examples and Applications
  • Language: en
  • Pages: 326

Weak Dependence: With Examples and Applications

This book develops Doukhan/Louhichi's 1999 idea to measure asymptotic independence of a random process. The authors, who helped develop this theory, propose examples of models fitting such conditions: stable Markov chains, dynamical systems or more complicated models, nonlinear, non-Markovian, and heteroskedastic models with infinite memory. Applications are still needed to develop a method of analysis for nonlinear times series, and this book provides a strong basis for additional studies.