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Information and Learning Sciences eBook Series

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  • Social Learning

    Opinion Formation and Decision-Making over Graphs

    by Vincenzo Matta, Virginia Bordignon, Ali H. Sayed ...
    Series series Information and Learning Sciences
    The ebook edition of this title is Open Access and freely available to read online.Complex cognitive systems, such as social networks, robotic swarms, or biological networks, are composed of individual entities (the agents) whose actions typically arise from some sophisticated form of “social” interaction with other agents. For example, consider the way humans form their individual opinions about ... Read more

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  • Probability, Markov Chains, Queues, and Simulation

    The Mathematical Basis of Performance Modeling

    by William J. Stewart ...
    Probability, Markov Chains, Queues, and Simulation provides a modern and authoritative treatment of the mathematical processes that underlie performance modeling. The detailed explanations of mathematical derivations and numerous illustrative examples make this textbook readily accessible to graduate and advanced undergraduate students taking courses in which stochastic processes play a ... Read more

    PHP6,841.19

  • Numerical Methods for Stochastic Computations

    A Spectral Method Approach

    by Dongbin Xiu ...
    The@ first graduate-level textbook to focus on fundamental aspects of numerical methods for stochastic computations, this book describes the class of numerical methods based on generalized polynomial chaos (gPC). These fast, efficient, and accurate methods are an extension of the classical spectral methods of high-dimensional random spaces. Designed to simulate complex systems subject to random ... Read more

    PHP3,357.69

  • Bayesian Reasoning and Machine Learning

    by David Barber ...
    Machine learning methods extract value from vast data sets quickly and with modest resources. They are established tools in a wide range of industrial applications, including search engines, DNA sequencing, stock market analysis, and robot locomotion, and their use is spreading rapidly. People who know the methods have their choice of rewarding jobs. This hands-on text opens these opportunities to ... Read more

    PHP4,732.19

  • A First Course in Optimization Theory

    by Rangarajan K. Sundaram ...
    This book, first published in 1996, introduces students to optimization theory and its use in economics and allied disciplines. The first of its three parts examines the existence of solutions to optimization problems in Rn, and how these solutions may be identified. The second part explores how solutions to optimization problems change with changes in the underlying parameters, and the last part ... Read more

    PHP3,202.59

  • Mathematics for Econometrics

    by Phoebus J. Dhrymes ...
    Series series Mathematics and Statistics (R0)
    This book deals with a number of mathematical topics that are of great importance in the study of classical econometrics. There is a lengthy chapter on matrix algebra, which takes the reader from the most elementary aspects to the partitioned inverses, characteristic roots and vectors, symmetric, and orthogonal and positive (semi) definite matrices. The book also covers pseudo-inverses, solutions ... Read more

    PHP7,479.79

  • Monte-Carlo Methods and Stochastic Processes

    From Linear to Non-Linear

    by Emmanuel Gobet ...
    Developed from the author’s course at the Ecole Polytechnique, Monte-Carlo Methods and Stochastic Processes: From Linear to Non-Linear focuses on the simulation of stochastic processes in continuous time and their link with partial differential equations (PDEs). It covers linear and nonlinear problems in biology, finance, geophysics, mechanics, chemistry, and other application areas. The text also ... Read more

    PHP4,254.75

  • Probability, Random Processes, and Statistical Analysis

    Applications to Communications, Signal Processing, Queueing Theory and Mathematical Finance

    by Hisashi Kobayashi, Brian L. Mark, William Turin ...
    Together with the fundamentals of probability, random processes and statistical analysis, this insightful book also presents a broad range of advanced topics and applications. There is extensive coverage of Bayesian vs. frequentist statistics, time series and spectral representation, inequalities, bound and approximation, maximum-likelihood estimation and the expectation-maximization (EM) ... Read more

    PHP4,971.19

  • Learning Theory from First Principles

    by Francis Bach ...
    Series series Adaptive Computation and Machine Learning series
    A comprehensive and cutting-edge introduction to the foundations and modern applications of learning theory.Research has exploded in the field of machine learning resulting in complex mathematical arguments that are hard to grasp for new comers. . In this accessible textbook, Francis Bach presents the foundations and latest advances of learning theory for graduate students as well as researchers ... Read more

    PHP3,357.29

  • Economic Dynamics, second edition

    Theory and Computation

    by John Stachurski ...
    The second edition of a rigorous and example-driven introduction to topics in economic dynamics that emphasizes techniques for modeling dynamic systems.This text provides an introduction to the modern theory of economic dynamics, with emphasis on mathematical and computational techniques for modeling dynamic systems. Written to be both rigorous and engaging, the book shows how sound understanding ... Read more

    PHP3,147.39

  • Linear Models

    A Mean Model Approach

    by William R. Moser, Zbynek Sidak, David Aldous, Pranab K. Sen ...
    Series series Probability and Mathematical Statistics
    Linear models, normally presented in a highly theoretical and mathematical style, are brought down to earth in this comprehensive textbook. Linear Models examines the subject from a mean model perspective, defining simple and easy-to-learn rules for building mean models, regression models, mean vectors, covariance matrices and sums of squares matrices for balanced and unbalanced data sets. The ... Read more

    PHP6,486.29

  • Statistical Machine Learning

    A Unified Framework

    by Richard Golden ...
    Series series Chapman & Hall/CRC Texts in Statistical Science
    The recent rapid growth in the variety and complexity of new machine learning architectures requires the development of improved methods for designing, analyzing, evaluating, and communicating machine learning technologies. Statistical Machine Learning: A Unified Framework provides students, engineers, and scientists with tools from mathematical statistics and nonlinear optimization theory to ... Read more

    PHP10,025.68