Lectures on Probability Theory and Statistics

This book PDF is perfect for those who love Mathematics genre, written by Simon Tavaré and published by Springer which was released on 30 January 2004 with total hardcover pages 316. You could read this book directly on your devices with pdf, epub and kindle format, check detail and related Lectures on Probability Theory and Statistics books below.

Lectures on Probability Theory and Statistics
Author : Simon Tavaré
File Size : 46,5 Mb
Publisher : Springer
Language : English
Release Date : 30 January 2004
ISBN : 9783540398745
Pages : 316 pages
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Lectures on Probability Theory and Statistics by Simon Tavaré Book PDF Summary

This volume contains lectures given at the 31st Probability Summer School in Saint-Flour (July 8-25, 2001). Simon Tavaré’s lectures serve as an introduction to the coalescent, and to inference for ancestral processes in population genetics. The stochastic computation methods described include rejection methods, importance sampling, Markov chain Monte Carlo, and approximate Bayesian methods. Ofer Zeitouni’s course on "Random Walks in Random Environment" presents systematically the tools that have been introduced to study the model. A fairly complete description of available results in dimension 1 is given. For higher dimension, the basic techniques and a discussion of some of the available results are provided. The contribution also includes an updated annotated bibliography and suggestions for further reading. Olivier Catoni's course appears separately.

Lectures on Probability Theory and Statistics

This volume contains lectures given at the 31st Probability Summer School in Saint-Flour (July 8-25, 2001). Simon Tavaré’s lectures serve as an introduction to the coalescent, and to inference for ancestral processes in population genetics. The stochastic computation methods described include rejection methods, importance sampling, Markov chain Monte Carlo, and

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Random Walks and Random Environments

Download or read online Random Walks and Random Environments written by Barry D. Hughes, published by Unknown which was released on 2023. Get Random Walks and Random Environments Books now! Available in PDF, ePub and Kindle.

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The simplest mathematical model of the Brownian motion of physics is the simple, symmetric random walk. This book collects and compares current results OCo mostly strong theorems which describe the properties of a random walk. The modern problems of the limit theorems of probability theory are treated in the simple

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Random Walks and Random Environments  Random environments

This is the second volume of a two-volume work devoted to probability theory in physical chemistry, and engineering. Rather than dealing explicitly with the idea of an ongoing random walk, with each chaotic step taking place at fixed time intervals, this volume addresses random environments-- models in which the disorder

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Branching Random Walks

Providing an elementary introduction to branching random walks, the main focus of these lecture notes is on the asymptotic properties of one-dimensional discrete-time supercritical branching random walks, and in particular, on extreme positions in each generation, as well as the evolution of these positions over time. Starting with the simple

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First Steps in Random Walks

The name "random walk" for a problem of a displacement of a point in a sequence of independent random steps was coined by Karl Pearson in 1905 in a question posed to readers of "Nature". The same year, a similar problem was formulated by Albert Einstein in one of his Annus

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Random Walk In Random And Non random Environments  Second Edition

The simplest mathematical model of the Brownian motion of physics is the simple, symmetric random walk. This book collects and compares current results — mostly strong theorems which describe the properties of a random walk. The modern problems of the limit theorems of probability theory are treated in the simple case

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Two Dimensional Random Walk

A visual, intuitive introduction in the form of a tour with side-quests, using direct probabilistic insight rather than technical tools.

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