This book gathers selected papers presented at the International Conference on Advances in Applied Probability and Stochastic Processes, held at CMS College, Kerala, India, on 7–10 January 2019. It showcases high-quality research conducted in the field of applied probability and stochastic processes by focusing on techniques for the modelling and analysis of systems evolving with time. Further, it discusses the applications of stochastic modelling in queuing theory, reliability, inventory, financial mathematics, operations research, and more. This book is intended for a broad audience, ranging from researchers interested in applied probability, stochastic modelling with reference to queuing theory, inventory, and reliability, to those worki...
The book provides an extensive introduction to queueing models driven by Lévy-processes as well as a...
This book is based on the premise that engineers use probability as a modeling tool, and that probab...
This is a textbook on applied probability and statistics with computer science applications for stud...
The aim of this special issue is to publish original research papers that cover recent advances in t...
This textbook addresses postgraduate students in applied mathematics, probability, and statistics, a...
An easily accessible, real-world approach to probability and stochastic processes Introduction to P...
International audienceUnlike traditional books presenting stochastic processes in an academic way, t...
This volume collects papers, based on invited talks given at the IMA workshop in Modeling, Stochasti...
International audienceThis book constitutes the refereed proceedings of the 19th International Confe...
This is an introductory-level text on stochastic modeling. It is suited for undergraduate students i...
This is a textbook for advanced undergraduate students and beginning graduate students in applied ma...
Stochastic control plays an important role in many scientific and applied disciplines including comm...
In this thesis we attempt to make a probabilistic analysis of some physically realizable, though com...
This volume presents selected and peer-reviewed contributions from the 14th Workshop on Stochastic M...
This textbook explores probability and stochastic processes at a level that does not require any pri...
The book provides an extensive introduction to queueing models driven by Lévy-processes as well as a...
This book is based on the premise that engineers use probability as a modeling tool, and that probab...
This is a textbook on applied probability and statistics with computer science applications for stud...
The aim of this special issue is to publish original research papers that cover recent advances in t...
This textbook addresses postgraduate students in applied mathematics, probability, and statistics, a...
An easily accessible, real-world approach to probability and stochastic processes Introduction to P...
International audienceUnlike traditional books presenting stochastic processes in an academic way, t...
This volume collects papers, based on invited talks given at the IMA workshop in Modeling, Stochasti...
International audienceThis book constitutes the refereed proceedings of the 19th International Confe...
This is an introductory-level text on stochastic modeling. It is suited for undergraduate students i...
This is a textbook for advanced undergraduate students and beginning graduate students in applied ma...
Stochastic control plays an important role in many scientific and applied disciplines including comm...
In this thesis we attempt to make a probabilistic analysis of some physically realizable, though com...
This volume presents selected and peer-reviewed contributions from the 14th Workshop on Stochastic M...
This textbook explores probability and stochastic processes at a level that does not require any pri...
The book provides an extensive introduction to queueing models driven by Lévy-processes as well as a...
This book is based on the premise that engineers use probability as a modeling tool, and that probab...
This is a textbook on applied probability and statistics with computer science applications for stud...