Price loading...

Applied Probability (Springer Texts in Statistics)

Computer Science

Price data last checked 103 day(s) ago - refreshing...

View at Amazon

Price History & Forecast

No Price Data Available

Price history will appear here once data is collected from Amazon.

Price Distribution

No price data available for histogram

Description

Applied Probability presents a unique blend of theory and applications, with special emphasis on mathematical modeling, computational techniques, and examples from the biological sciences. Chapter 1 reviews elementary probability and provides a brief survey of relevant results from measure theory. Chapter 2 is an extended essay on calculating expectations. Chapter 3 deals with probabilistic applications of convexity, inequalities, and optimization theory. Chapters 4 and 5 touch on combinatorics and combinatorial optimization. Chapters 6 through 11 present core material on stochastic processes. If supplemented with appropriate sections from Chapters 1 and 2, there is sufficient material for a traditional semester-long course in stochastic processes covering the basics of Poisson processes, Markov chains, branching processes, martingales, and diffusion processes. This third edition includes new topics and many worked exercises. The new chapter on entropy stresses Shannon entropy and its mathematical applications. New sections in existing chapters explain the Chinese restaurant problem, the infinite alleles model, saddlepoint approximations, and recurrence relations. The extensive list of new problems pursues topics such as random graph theory omitted in the previous editions. Computational probability receives even greater emphasis than earlier. Some of the solved problems are coding exercises, and Julia code is provided. Mathematical scientists from a variety of backgrounds will find Applied Probability appealing as a reference. This updated edition can serve as a textbook for graduate students in applied mathematics, biostatistics, computational biology, computer science, physics, and statistics. Readers should have a working knowledge of multivariate calculus, linear algebra, ordinary differential equations, and elementary probability theory.

Product Specifications

Format: hardcover
ASIN: 1071641719
Category: Books > Subjects > Computing & Internet > Computer Science
Domain: Amazon UK
Release Date: 07 December 2024
Listed Since: 19 July 2024

Barcode

No barcode data available

Applied Probability (Springer Texts in Statistics)

Price History & Forecast

No Price Data Available

Price Distribution

Description

Product Specifications

Barcode

Similar Products You Might Like

Applied Probability: From Random Experiments to Random Sequences and Statistics

Probability with Applications in Engineering, Science, and Technology: Revised and Updated (Springer Texts in Statistics)

An Introduction to Applied Probability: 77 (Texts in Applied Mathematics, 77)

Elements of Applied Stochastic Processes: 378 (Wiley Series in Probability and Statistics)

Applied Combinatorics, Third Edition (Discrete Mathematics and Its Applications)

Computational Probability: Algorithms and Applications in the Mathematical Sciences: 246 (International Series in Operations Research & Management Science, 246)

A Modern Approach to Probability Theory (Probability and Its Applications)

Basics of Applied Stochastic Processes (Probability and Its Applications)

Adventures in Stochastic Processes

Applied Machine Learning

Probability Theory and Stochastic Processes (Universitext)

Introduction to Probability: Models and Applications (Wiley Series in Probability and Statistics)

Essentials of Stochastic Processes (Springer Texts in Statistics)

Probability for Statistics and Machine Learning: Fundamentals and Advanced Topics (Springer Texts in Statistics)

Stochastic Processes in Cell Biology: Volume II: 41 (Interdisciplinary Applied Mathematics, 41)

Introduction to Probability with Statistical Applications

Continuous-Time Markov Chains and Applications: A Two-Time-Scale Approach: 37 (Stochastic Modelling and Applied Probability, 37)

Explorations in Monte Carlo Methods (Undergraduate Texts in Mathematics)

Applied Probability and Stochastic Processes

Essentials of Stochastic Processes (Springer Texts in Statistics)

Introduction to Probability with Statistical Applications

Discrete Probability Models and Methods: Probability on Graphs and Trees, Markov Chains and Random Fields, Entropy and Coding: 78 (Probability Theory and Stochastic Modelling, 78)

Discrete Probability Models and Methods: Probability on Graphs and Trees, Markov Chains and Random Fields, Entropy and Coding: 78 (Probability Theory and Stochastic Modelling, 78)

Applied Stochastic Analysis (Graduate Studies in Mathematics)