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Information and Learning Sciences eBook-reihen

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  • Social Learning

    Opinion Formation and Decision-Making over Graphs

    von Vincenzo Matta, Virginia Bordignon, Ali H. Sayed …
    Serien 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 … Lesen Sie mehr

    Kostenlos

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  • Probability, Markov Chains, Queues, and Simulation

    The Mathematical Basis of Performance Modeling

    von 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 … Lesen Sie mehr

    € 130,67

  • Elements of Information Theory

    von Thomas M. Cover, Joy A. Thomas …
    The latest edition of this classic is updated with new problem sets and materialThe Second Edition of this fundamental textbook maintains the book's tradition of clear, thought-provoking instruction. Readers are provided once again with an instructive mix of mathematics, physics, statistics, and information theory.All the essential topics in information theory are covered in detail, including … Lesen Sie mehr

    € 114,99

  • Numerical Methods for Stochastic Computations

    A Spectral Method Approach

    von 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 … Lesen Sie mehr

    € 63,35

  • Bayesian Reasoning and Machine Learning

    von 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 … Lesen Sie mehr

    € 75,89

  • A First Course in Optimization Theory

    von 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 … Lesen Sie mehr

    € 47,40

  • Mathematics for Econometrics

    von Phoebus J. Dhrymes …
    Serien 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 … Lesen Sie mehr

    € 118,79

  • Monte-Carlo Methods and Stochastic Processes

    From Linear to Non-Linear

    von 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 … Lesen Sie mehr

    € 69,49

  • Probability, Random Processes, and Statistical Analysis

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

    von 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) … Lesen Sie mehr

    € 82,16

  • Learning Theory from First Principles

    von Francis Bach …
    Serien 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 … Lesen Sie mehr

    € 48,06

  • Economic Dynamics, second edition

    Theory and Computation

    von 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 … Lesen Sie mehr

    € 45,42

  • Linear Models

    A Mean Model Approach

    von William R. Moser, Zbynek Sidak, David Aldous, Pranab K. Sen …
    Serien 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 … Lesen Sie mehr

    € 82,82