"What underlying forces are responsible for the observed patterns of variability, given a collection of DNA sequences?" In approaching this question a number of probability models are introduced and anyalyzed.Throughout the book, the theory is developed in close connection with data from more than 60 experimental studies that illustrate the use of these results.

Probability Models for DNA Sequence Evolution (Probability and Its Applications)

Science & Math

Durrett, Richard

Biological Sciences

Springer

Stochastic processes have become important for many fields, including mathematical finance and engineering. Written by one of the worlds leading probabilists, this book presents recent results previously available only in specialized monographs. It features the introduction and use of martingales, which allow readers to do much more with Brownian motion, e.g., applications to option pricing, and integrates queueing theory into the presentation of continuous time Markov chains and renewal theory.

Essentials of Stochastic Processes (Springer Texts in Statistics)

Mathematics

This book should be of interest to students of mathematics.

Brownian Motion and Martingales in Analysis (The Wadsworth Mathematics Series)

Wadsworth Pub. Co.

Explores results and techniques in the study of interacting particles systems; explains oriented and regular varieties of percolation, covers recent results on the voter model, and discusses asymptotic shape results. Annotation copyright Book News, Inc. Portland, Or.

Lecture Notes on Particle Systems and Percolation (Brooks Cole Statistics/Probability Series)

Physics

Brooks/Cole Pub. Co.

This is a BRAND NEW Hardcover book from the factory. The book is perfect and immaculate. 100% satisfaction guaranteed or you get all your money back. We apply no-hassle return policy. With 20,000 + customers satisfaction, we ship within 1 to 2 business days with free tracking. Same day shipping also available for orders placed before 1:00 pm Central time.

Probability: Theory and Examples (Wadsworth and Brooks/Cole Statistics/Probability Series)

Modern and measure-theory based, this text is intended primarily for the first-year graduate course in probability theory.

Probability: Theory and Examples

Duxbury Press

A useful reference.for those who apply probability to work, PROBABILITY: THEORY AND EXAMPLES focuses attention on examples and results while developing theory.

This compact yet thorough text zeros in on the parts of the theory that are particularly relevant to applications . It begins with a description of Brownian motion and the associated stochastic calculus, including their relationship to partial differential equations. It solves stochastic differential equations by a variety of methods and studies in detail the one-dimensional case. The book concludes with a treatment of semigroups and generators, applying the theory of Harris chains to diffusions, and presenting a quick course in weak convergence of Markov chains to diffusions. The presentation is unparalleled in its clarity and simplicity. Whether your students are interested in probability, analysis, differential geometry or applications in operations research, physics, finance, or the many other areas to which the subject applies, you'll find that this text brings together the material you need to effectively and efficiently impart the practical background they need.

Stochastic Calculus (Probability and Stochastics Series)

CRC-Press

This book presents mathematical techniques for understanding sequence evolution. The theory is developed in close connection with data from more than 60 experimental studies that illustrate the use of these results.

This text focuses on the parts of stochastic theory that are particularly relevant to applications. It begins with a description of Brownian motion and the associated stochastic calculus, including the relationship to partial differential equations. It then solves stochastic differential equations by a variety of methods. The author also studies in detail the one-dimensional case. The book concludes with a treatment of semigroups and generators, applying the theory of Harris chains to diffusions as well as weak convergence of Markov chains to diffusions.

Stochastic Calculus: An Elementary Introduction Emphasizing Applications

Chapman and Hall/CRC

See the best price to sell, buy, or rent books by Durrett, Richard. BookScouter helps to compare book prices from 25+ online bookstores and 30+ buyback vendors with a single search.

Books by Durrett, Richard

See the best price to sell, buy, or rent books by Durrett, Richard. BookScouter helps to compare book prices from 25+ online bookstores and 30+ buyback vendors with a single search.

Probability Models for DNA Sequence Evolution (Probability and Its Applications)

Essentials of Stochastic Processes (Springer Texts in Statistics)

Brownian Motion and Martingales in Analysis (The Wadsworth Mathematics Series)

Lecture Notes on Particle Systems and Percolation (Brooks Cole Statistics/Probability Series)

Probability: Theory and Examples (Wadsworth and Brooks/Cole Statistics/Probability Series)

Probability: Theory and Examples

Probability: Theory and Examples

Stochastic Calculus (Probability and Stochastics Series)

Probability Models for DNA Sequence Evolution (Probability and Its Applications)

Stochastic Calculus: An Elementary Introduction Emphasizing Applications