Best Books – Selected Application of Stochastic Models

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We have compiled the list of Top 10 Best Reference Books on Selected Application of Stochastic Models subject. These books are used by students of top universities, institutes and colleges. Here is the full list of top 10 best books on Selected Application of Stochastic Models along with reviews.

Kindly note that we have put a lot of effort into researching the best books on Selected Application of Stochastic Models subject and came out with a recommended list of top 10 best books. The table below contains the Name of these best books, their authors, publishers and an unbiased review of books on "Selected Application of Stochastic Models" as well as links to the Amazon website to directly purchase these books. As an Amazon Associate, we earn from qualifying purchases, but this does not impact our reviews, comparisons, and listing of these top books; the table serves as a ready reckoner list of these best books.

1. “Dynamic Programming and Optimal Control” by D Bertsikas

Book Review: This book is focused towards modeling, conceptualization, finite horizon problems and many other important concepts. The other part of the book deals with mathematical analysis and computation and presents up-to-date information about large scale dynamic programming and reinforcement learning. This book can also be used for optimal control, markovian decision problems and combinatorial problems. The book also stresses on basic unifying themes and conceptual foundations. The book also addresses practical application of methodology along with the use of approximations.

2. “Options Futures and other Derivatives” by J C Hull

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Book Review: This book covers the latest advancements in the field of applied stochastic processes and queuing theory with a strong focus on time averages and long run behavior. The book simultaneously also illustrates the practical effects like priorities, pooling of queues and bottlenecks. The book also develops queuing theory models in mathematical language and applies it to many engineering problems. This book is suitable for courses in queuing theory in operations research, computer science and statistics departments at the graduate level.

3. “Stochastic Modeling and Theory of Queues” by R W Wolff

Book Review: This book bridges the gap between the theoretical and practical methods of stochastic modeling and theory of queues. The book also provides introduction to futures and options markets and is very suitable for people with a limited background in mathematics. The book also contains a new chapter on securitization and credit crisis and additionally the book also includes a discussion on way commodity prices where modeling and commodity derivatives are valued.

4. “Stochastic Volatility: Selected Readings (Advanced Texts in Econometrics)” by Neil Shephard

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“Stochastic Volatility: Selected Readings (Advanced Texts in Econometrics)” Book Review: The book will enhance the reader’s knowledge of financial volatility. Stocks, bonds, currencies and range from 1973 to 2001 are covered in this book. It presents a clear introduction of stochastic volatility along with all the major issues involved in volatility. An invaluable survey on the state-of-the-art of SV modelling in finance is featured in this book. The book will be useful for students and professionals dealing with volatility modeling.

5. “Selected Papers of Frederick Mosteller (Springer Series in Statistics)” by Stephen E Fienberg and David C Hoaglin

“Selected Papers of Frederick Mosteller (Springer Series in Statistics)” Book Review: The book is a collection of 40 original and influential papers of Frederick Mosteller, which contains information about statistics. All the concepts and issues related to statistics are described in this text. The applications of statistics in various fields are highlighted in this book. The book also features many statistical problems. This piece of writing will be useful for statisticians and new generations of researchers.

6. “Selected Topics in Cancer Modeling: Genesis, Evolution, Immune Competition, and Therapy” by Nicola Bellomo and Elena de Angelis

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“Selected Topics in Cancer Modeling: Genesis, Evolution, Immune Competition, and Therapy” Book Review: The book presents modern mathematical methods and tools for modeling and analyzing cancer phenomena. Topics like stochastic evolutionary models of cancer initiation and progression, tumor cords and their response to anticancer agents, genetic and epigenetic pathways to colon cancer, nonlinear modeling and simulation of tumor growth, tumor cords and their response to anticancer agents, mathematical modeling of breast carcinogenesis, and immune competition in tumor progression and prevention are discussed in this book. The book will be useful for researchers, practitioners, and graduate students in applied mathematics, mathematical biology, and related fields.

7. “Evaluation of Statistical Matching and Selected SAE Methods: Using Micro Census and EU-SILC Data” by Verena Gissing

“Evaluation of Statistical Matching and Selected SAE Methods: Using Micro Census and EU-SILC Data” Book Review: The book aims in finding the best method for the estimation of poverty in terms of small bias and small variance with the aid of a simulated artificial “close-to-reality” population. The chapters of this book cover topics like regression models, small area methods, statistical matching, and bootstrap methods. The applications to poverty estimation using EU-SILC and micro census data are mentioned in this book. In this text, statistical matching and selected SAE methods are evaluated and compared. The book will be helpful for researchers, students, and practitioners in the fields of statistics, official statistics, and survey statistics.

8. “Models and Methods in the Philosophy of Science: Selected Essays” by Patrick Suppes

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“Models and Methods in the Philosophy of Science: Selected Essays” Book Review: Initially, the book covers general methodology, formal and axiomatic methods in science, and probabilistic theory of causality. Moving forward topics like probability, measurement, foundations of physics, quantum mechanics, and foundations of psychology are discussed. The latest roles formal methods are highlighted. The book is basically for the philosophers of science, scientists concerned with the methodology of the social sciences, and mathematical psychologists interested in theories of learning, perception and measurement.

9. “Stochastic Models, Information Theory, and Lie Groups” by Gregory S Chirikjian

“Stochastic Models, Information Theory, and Lie Groups” Book Review: The book is for advanced undergraduate and graduate students, researchers, and practitioners working in applied mathematics, the physical sciences, and engineering. The fundamentals of continuous-time stochastic processes are clearly mentioned. Along with it, differential geometry, and the probabilistic foundations of information theory, stochastic geometry, geometric aspects of the theory of communications and coding, multivariate statistical analysis, and error propagation on Lie groups are thoroughly explained. The applications of stochastic processes like, biomolecular statistical mechanics and information-driven motion in robotics are highlighted in this text. The book features various exercises, examples, and modern problems related to stochastic processes on Lie groups.

10. “Stochastic Parameter Regression Models” by Paul Newbold

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“Stochastic Parameter Regression Models” Book Review: The book presents technical and advanced introduction to stochastic parameter regression models. The models examine time-varying relationships irrespective of position, motion, and cause. This book will be useful for the students, professionals, and researchers who are working on standard regression models and wish to understand methods which deal with relationships that vary slowly over time.

People who are searching for Free downloads of books and free pdf copies of these top 10 books on Selected Application of Stochastic Models – we would like to mention that we don’t have free downloadable pdf copies of these good books and one should look for free pdf copies from these Authors only if they have explicitly made it free to download and read them.

We have created a collection of best reference books on "Selected Application of Stochastic Models" so that one can readily see the list of top books on "Selected Application of Stochastic Models" and buy the books either online or offline.

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