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Probability eBooks

If you like Probability eBooks, then you'll love these top picks.
Showing 1 - 24 of 608 Results
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  • An Introduction to Probability

    With MATHEMATICA®

    by Edward P C Kao ...
    The main objective of this text is to facilitate a student's smooth learning transition from a course on probability to its applications in various areas. To achieve this goal, students are encouraged to experiment numerically with problems requiring computer solutions.Contents:PrefaceNotations and AbbreviationsPermutation and CombinationAxiom of ProbabilityConditional ProbabilityRandom Variables< ... Read more

    RM 162.39

  • Nonlinearly Perturbed Semi-Markov Processes

    by Dmitrii Silvestrov, Sergei Silvestrov ...
    Series series SpringerBriefs in Probability and Mathematical Statistics
    The book presents new methods of asymptotic analysis for nonlinearly perturbed semi-Markov processes with a finite phase space. These methods are based on special time-space screening procedures for sequential phase space reduction of semi-Markov processes combined with the systematical use of operational calculus for Laurent asymptotic expansions. Effective recurrent algorithms are composed for ... Read more

    RM 209.59

  • Perturbed Semi-Markov Type Processes II

    Ergodic Theorems for Multi-Alternating Regenerative Processes

    by Dmitrii Silvestrov ...
    This book is the second volume of a two-volume monograph devoted to the study of limit and ergodic theorems for regularly and singularly perturbed Markov chains, semi-Markov processes, and multi-alternating regenerative processes with semi-Markov modulation.The second volume presents a complete classification of ergodic theorems for alternating regenerative processes, including more than twenty ... Read more

    RM 503.09

  • Random Processes

    A First Look, Second Edition,

    by Syski ...
    Series series Statistics: A Series of Textbooks and Monographs
    This book develops appreciation of the ingenuity involved in the mathematical treatment of random phenomena, and of the power of the mathematical methods employed in the solution of applied problems. It is intended to students interested in applications of probability to their disciplines. ... Read more

    RM 125.42

  • Basics of Probability and Stochastic Processes

    by Esra Bas ...
    Series series Mathematics and Statistics (R0)
    This textbook explores probability and stochastic processes at a level that does not require any prior knowledge except basic calculus. It presents the fundamental concepts in a step-by-step manner, and offers remarks and warnings for deeper insights. The chapters include basic examples, which are revisited as the new concepts are introduced. To aid learning, figures and diagrams are used to help ... Read more

    RM 209.59

  • Conceptual Econometrics Using R

    by C.R. Rao, Hrishikesh D. Vinod ...
    Series Book 41 - Handbook of Statistics
    Conceptual Econometrics Using R, Volume 41 provides state-of-the-art information on important topics in econometrics, including quantitative game theory, multivariate GARCH, stochastic frontiers, fractional responses, specification testing and model selection, exogeneity testing, causal analysis and forecasting, GMM models, asset bubbles and crises, corporate investments, classification, ... Read more

    RM 882.19

  • Multidimensional Signal Processing

    by Arni S.R. Srinivasa Rao, Kumar Vijay Mishra, Gonzalo R. Arce ...
    Series Book 54 - Handbook of Statistics
    Multidimensional Signal Processing, Volume 54 in the Handbook of Statistics series is dedicated to presenting the latest developments and methodologies in multidimensional signal processing. The book aims to provide a comprehensive overview of the theories, models, and methods that form the foundation of this field. Chapters in this new release include Robust Parameter Estimation of Two ... Read more

    RM 882.19

  • Mathematics of Computational Finance

    by Andrzej Palczewski ...
    The book focuses on numerical methods for derivative pricing with an emphasis on their mathematical foundations. It offers the most frequently explored numerical methods of derivative pricing and covers the material of standard courses in computational finance. The book presents the best-known methods of multinomial trees, Monte Carlo simulations for European, American, and exotic options, and ... Read more

    RM 162.39

  • An Introduction to Stochastic Modeling

    by Gabriel Lord, Cónall Kelly ...
    An Introduction to Stochastic Modeling, Fifth Edition bridges the gap between basic probability and an intermediate level course in stochastic processes, serving as the foundation for either a one-semester or two-semester course in stochastic processes for students familiar with elementary probability theory and calculus. The objectives are to introduce students to the standard concepts and ... Read more

    RM 310.59

  • The Theory of Probability

    Explorations and Applications

    by Santosh S. Venkatesh ...
    From classical foundations to advanced modern theory, this self-contained and comprehensive guide to probability weaves together mathematical proofs, historical context and richly detailed illustrative applications. A theorem discovery approach is used throughout, setting each proof within its historical setting and is accompanied by a consistent emphasis on elementary methods of proof. Each topic ... Read more

    RM 408.29

  • Examples In Markov Decision Processes

    by Alexey B Piunovskiy ...
    Series Book 2 - Imperial College Press Optimization Series
    This invaluable book provides approximately eighty examples illustrating the theory of controlled discrete-time Markov processes. Except for applications of the theory to real-life problems like stock exchange, queues, gambling, optimal search etc, the main attention is paid to counter-intuitive, unexpected properties of optimization problems. Such examples illustrate the importance of conditions ... Read more

    RM 141.19

  • Deep Learning

    by Arni S.R. Srinivasa Rao, Venu Govindaraju, C.R. Rao ...
    Series Book 48 - Handbook of Statistics
    Deep Learning, Volume 48 in the Handbook of Statistics series, highlights new advances in the field, with this new volume presenting interesting chapters on a variety of timely topics, including Generative Adversarial Networks for Biometric Synthesis, Data Science and Pattern Recognition, Facial Data Analysis, Deep Learning in Electronics, Pattern Recognition, Computer Vision and Image Processing, ... Read more

    RM 882.19

  • Statistical Methods for Spatial Data Analysis

    by Oliver Schabenberger, Carol A. Gotway ...
    Series series Chapman & Hall/CRC Texts in Statistical Science
    Understanding spatial statistics requires tools from applied and mathematical statistics, linear model theory, regression, time series, and stochastic processes. It also requires a mindset that focuses on the unique characteristics of spatial data and the development of specialized analytical tools designed explicitly for spatial data analysis. Statistical Methods for Spatial Data Analysis answers ... Read more

    RM 262.64

  • Poisson Hyperplane Tessellations

    by Daniel Hug, Rolf Schneider ...
    Series series Mathematics and Statistics (R0)
    This book is the first comprehensive presentation of a central topic of stochastic geometry: random mosaics that are generated by Poisson processes of hyperplanes. It thus connects a basic notion from probability theory, Poisson processes, with a fundamental object of geometry. The independence properties of Poisson processes and the long-range influence of hyperplanes lead to a wide range of ... Read more

    RM 377.29

  • Stochastic Processes

    by Richard F. Bass ...
    Series Book 33 - Cambridge Series in Statistical and Probabilistic Mathematics
    This comprehensive guide to stochastic processes gives a complete overview of the theory and addresses the most important applications. Pitched at a level accessible to beginning graduate students and researchers from applied disciplines, it is both a course book and a rich resource for individual readers. Subjects covered include Brownian motion, stochastic calculus, stochastic differential ... Read more

    RM 324.79

  • Vehicular Networking

    by Christoph Sommer, Falko Dressler ...
    With this essential guide to vehicular networking, you will learn about everything from conceptual approaches and state-of-the-art protocols, to system designs and their evaluation. Covering both in- and inter-vehicle communication, this comprehensive work outlines the foundations of vehicular networking as well as demonstrating its commercial applications, from improved vehicle performance, to ... Read more

    RM 443.69

  • Non-homogeneous Random Walks

    Lyapunov Function Methods for Near-Critical Stochastic Systems

    by Mikhail Menshikov, Serguei Popov, Andrew Wade ...
    Series Book 209 - Cambridge Tracts in Mathematics
    Stochastic systems provide powerful abstract models for a variety of important real-life applications: for example, power supply, traffic flow, data transmission. They (and the real systems they model) are often subject to phase transitions, behaving in one way when a parameter is below a certain critical value, then switching behaviour as soon as that critical value is reached. In a real system, ... Read more

    RM 614.09

  • Probability on Real Lie Algebras

    by Uwe Franz, Nicolas Privault ...
    Series Book 206 - Cambridge Tracts in Mathematics
    This monograph is a progressive introduction to non-commutativity in probability theory, summarizing and synthesizing recent results about classical and quantum stochastic processes on Lie algebras. In the early chapters, focus is placed on concrete examples of the links between algebraic relations and the moments of probability distributions. The subsequent chapters are more advanced and deal ... Read more

    RM 498.39

  • Fractional Calculus and Fractional Processes with Applications to Financial Economics

    Theory and Application

    by Sergio Focardi, Frank Fabozzi, Hasan Fallahgoul ...
    Fractional Calculus and Fractional Processes with Applications to Financial Economics presents the theory and application of fractional calculus and fractional processes to financial data. Fractional calculus dates back to 1695 when Gottfried Wilhelm Leibniz first suggested the possibility of fractional derivatives. Research on fractional calculus started in full earnest in the second half of the ... Read more

    RM 282.19

  • QPLEX: A Computational Modeling and Analysis Methodology for Stochastic Systems

    by Antonius B. Dieker, Steven T. Hackman ...
    Series series Springer Series in Operations Research and Financial Engineering
    This book introduces QPLEX, a powerful computational framework designed for modeling and analyzing nonstationary stochastic systems with large state spaces. The methodology excels at rapidly and accurately generating approximate distributions of system performance over time, offering a robust tool for understanding the dynamics of such systems. QPLEX circumvents the curse of dimensionality by ... Read more

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  • Pseudo-Regularly Varying Functions and Generalized Renewal Processes

    by Valeriĭ V. Buldygin, Karl-Heinz Indlekofer, Oleg I. Klesov, Josef G. Steinebach ...
    Series Book 91 - Probability Theory and Stochastic Modelling
    One of the main aims of this book is to exhibit some fruitful links between renewal theory and regular variation of functions. Applications of renewal processes play a key role in actuarial and financial mathematics as well as in engineering, operations research and other fields of applied mathematics. On the other hand, regular variation of functions is a property that features prominently in ... Read more

    RM 356.39

  • Stochastische Prozesse und Finanzmathematik

    by Ludger Rüschendorf ...
    Series series Life Science and Basic Disciplines (German Language)
    Das Buch gibt eine Einführung in weiterführende Themengebiete der stochastischen Prozesse und der zugehörigen stochastischen Analysis und verbindet diese mit einer fundierten Darstellung von Grundlagen der Finanzmathematik. Es ist inhaltlich weitreichend und legt gleichzeitig viel Wert auf gute Lesbarkeit, Motivation und Erklärung der behandelten Sachverhalte.Finanzmathematische Fragestellungen ... Read more

    RM 111.69

  • Selfsimilar Processes

    by Paul Embrechts ...
    Series series Princeton Series in Applied Mathematics
    The modeling of stochastic dependence is fundamental for understanding random systems evolving in time. When measured through linear correlation, many of these systems exhibit a slow correlation decay--a phenomenon often referred to as long-memory or long-range dependence. An example of this is the absolute returns of equity data in finance. Selfsimilar stochastic processes (particularly ... Read more

    RM 254.09

  • Stochastic Equations in Infinite Dimensions

    by Giuseppe Da Prato, Jerzy Zabczyk ...
    Series Book 152 - Encyclopedia of Mathematics and its Applications
    Now in its second edition, this book gives a systematic and self-contained presentation of basic results on stochastic evolution equations in infinite dimensional, typically Hilbert and Banach, spaces. In the first part the authors give a self-contained exposition of the basic properties of probability measure on separable Banach and Hilbert spaces, as required later; they assume a reasonable ... Read more

    RM 646.19