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Statistics Based on Dirichlet Processes and Related Topics

This book focuses on the properties associated with the Dirichlet process, describing its use a priori for nonparametric inference and the;

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Partitions, Hypergeometric Systems, and Dirichlet Processes in Statistics

Gibbs partition is a family of measures on integer partition, and several prior processes, such as the Dirichlet process, naturally appear;

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The Dirichlet Space and Related Function Spaces

The study of the classical Dirichlet space is one of the central topics on the intersection of the theory of holomorphic functions and;

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Dirichlet Forms and Symmetric Markov Processes

is unified with the probabilistic potential theory based on symmetric Markov processes and developed further in conjunction with the stochastic;

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Mathematical Statistics and Stochastic Processes

second case is very important for today s practitioners. Mathematical Statistics and Stochastic Processes is based on decision theory and;

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Elliptic Boundary Value Problems and Construction of Lp-Strong Feller Processes with Singular Drift and Reflection

coefficients, as well as on the discussion of point wise and path wise properties of the constructed processes rather than just the quasi-everywhere;

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Symmetric Markov Processes, Time Change, and Boundary Theory (LMS-35)

Dirichlet spaces, and the important roles such advances play in the boundary theory of symmetric Markov processes. This volume is an ideal resource;

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Analytic Number Theory

Articles in this volume are based on talks given at the Gauss-Dirichlet Conference held in Gottingen on June 20-24, 2005. The conference;

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Semi-Dirichlet Forms and Markov Processes

This book deals with analytic treatments of Markov processes. Symmetric Dirichlet forms and their associated Markov processes are important;

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G. Lejeune Dirichlet's Werke

the theorem on primes in arithmetic progression which was, at the same time, the foundation of analytic number theory and one of its greatest;

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Topics at the Frontier of Statistics and Network Analysis

design. Primarily for graduate students and researchers in statistics and closely related fields, emphasis is not only on what has been done, but;

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Cambridge Library Collection - Mathematics

, published 1889-97, was compiled by Leopold Kronecker (1823-91). Volume 1 contains works published by Dirichlet up to 1843 and a related 1846 essay;

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Theory and Statistical Applications of Stochastic Processes

processes, martingales, Markov properties, continuity and related properties of trajectories with contemporary subjects: integration with respect to;

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Probability, Statistics, and Stochastic Processes

on to present limit theorems and simulation. The authors combine a rigorous, calculus-based development of theory with an intuitive approach;

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Pseudo Differential Operators & Markov Processes

-parameter operator semigroups with emphasis on Feller semigroups and Lp-sub-Markovian semigroups. In addition, Dirichlet forms are treated. The book;

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Risk and Insurance

basic non-life insurance mathematics and advanced risk management methods in non-life insurance. Based on chapters selected according to the;

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Risk and Insurance

basic non-life insurance mathematics and advanced risk management methods in non-life insurance. Based on chapters selected according to the;

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Multivariate Statistics

The book aims to present a wide range of the newest results on multivariate statistical models, distribution theory and applications;

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Primer On The Dirichlet Space

The Dirichlet space is one of the three fundamental Hilbert spaces of holomorphic functions on the unit disk. It boasts a rich and;

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Stochastic Models, Statistics and Their Applications

contributions focus on statistical inference, quality control, change-point analysis and detection, empirical processes, time series analysis, survival;

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Hyperfinite Dirichlet Forms and Stochastic Processes

in spirit to the discrete classical formulation of Dirichlet space theory by Beurling and Deny (1958). The discrete infinitesimal setup makes it;

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All of Statistics

range of topics than a typical introductory book on mathematical statistics. This book is for people who want to learn probability and;

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All of Statistics

range of topics than a typical introductory book on mathematical statistics. This book is for people who want to learn probability and;

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From Statistics to Mathematical Finance

experts in statistics, stochastic processes, mathematical finance and insurance. The individual chapters cover a wide variety of topics ranging;

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Statistical Topics and Stochastic Models for Dependent Data with Applications

, (ii) autoregressive processes and (iii) techniques based on divergence measures and entropies. A special attention is payed to applications;

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Dirichlet Series and Holomorphic Functions in High Dimensions

is based on three pillars: Dirichlet series, infinite dimensional holomorphy and harmonic analysis.;

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Statistics and Probability in Forensic Anthropology

procedures and data interpretation based on statistical outcomes and models, which helps the reader confidently present their work within the;

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