Based on lectures and computer labs held at the IAS/Park City Mathematics Institute, this book presents areas of current research in modern probability that are accessible to undergraduate students. The subjects include: random walks, Brownian motion, card shuffling, spanning trees, and Markov chain Monte Carlo. There are computer simulations for random walks, Markov chains, stochastic differential equations as applied to finance, and other topics
This book contains a systematic treatment of probability from the ground up, starting with intuitive...
This updated and revised first-course textbook in applied probability provides a contemporary and li...
Suitable for a graduate course in analytic probability, this text requires only a limited background...
This second edition of the popular textbook contains a comprehensive course in modern probability th...
Probability is an area of mathematics of tremendous contemporary importance across all aspects of hu...
The emphasis in this book is placed on general models (Markov chains, random fields, random graphs),...
This volume, with contributions by leading experts in the field, is a collection of lecture notes of...
Probability and statistics are fascinating subjects on the interface between mathematics and applied...
This is an introductory probability textbook, published by the American Mathematical Society. It is ...
International audienceUnlike traditional books presenting stochastic processes in an academic way, t...
Monte Carlo methods form an experimental branch of mathematics that employs simulations driven by ra...
International audienceThe emphasis in this book is placed on general models (Markov chains, random f...
An advanced treatment of random walks written for students and researchers in probability and relate...
This clear and lively introduction to probability theory concentrates on the results that are the mo...
This is a pre-requisite for almost all graduate level courses in communications, signal processing, ...
This book contains a systematic treatment of probability from the ground up, starting with intuitive...
This updated and revised first-course textbook in applied probability provides a contemporary and li...
Suitable for a graduate course in analytic probability, this text requires only a limited background...
This second edition of the popular textbook contains a comprehensive course in modern probability th...
Probability is an area of mathematics of tremendous contemporary importance across all aspects of hu...
The emphasis in this book is placed on general models (Markov chains, random fields, random graphs),...
This volume, with contributions by leading experts in the field, is a collection of lecture notes of...
Probability and statistics are fascinating subjects on the interface between mathematics and applied...
This is an introductory probability textbook, published by the American Mathematical Society. It is ...
International audienceUnlike traditional books presenting stochastic processes in an academic way, t...
Monte Carlo methods form an experimental branch of mathematics that employs simulations driven by ra...
International audienceThe emphasis in this book is placed on general models (Markov chains, random f...
An advanced treatment of random walks written for students and researchers in probability and relate...
This clear and lively introduction to probability theory concentrates on the results that are the mo...
This is a pre-requisite for almost all graduate level courses in communications, signal processing, ...
This book contains a systematic treatment of probability from the ground up, starting with intuitive...
This updated and revised first-course textbook in applied probability provides a contemporary and li...
Suitable for a graduate course in analytic probability, this text requires only a limited background...