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« appaia loganathan »

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  • Current Trends in Bayesian Methodology with Applications

    Modifié par Satyanshu K. Upadhyay, Umesh Singh, Dipak K. Dey, Appaia Loganathan ...
    Collecting Bayesian material scattered throughout the literature, Current Trends in Bayesian Methodology with Applications examines the latest methodological and applied aspects of Bayesian statistics. The book covers biostatistics, econometrics, reliability and risk analysis, spatial statistics, image analysis, shape analysis, Bayesian computation, clustering, uncertainty assessment, high-energy ... En savoir plus

    $130.53 CAD

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  • System Identification

    Theory for the User

    par Lennart Ljung ...
    The field's leading text, now completely updated.Modeling dynamical systems — theory, methodology, and applications.Lennart Ljung's System Identification: Theory for the User is a complete, coherent description of the theory, methodology, and practice of System Identification. This completely revised Second Edition introduces subspace methods, methods that utilize frequency domain data, and ... En savoir plus

    $149.99 CAD

  • Time Series Analysis by State Space Methods

    par Siem Jan Koopman, The late James Durbin ...
    Collections Livre 38 - Oxford Statistical Science Series
    This new edition updates Durbin & Koopman's important text on the state space approach to time series analysis. The distinguishing feature of state space time series models is that observations are regarded as made up of distinct components such as trend, seasonal, regression elements and disturbance terms, each of which is modelled separately. The techniques that emerge from this approach are ... En savoir plus

    $98.39 CAD

  • Bayesian Statistics

    An Introduction

    par Peter M. Lee ...
    Bayesian Statistics is the school of thought that combines prior beliefs with the likelihood of a hypothesis to arrive at posterior beliefs. The first edition of Peter Lee’s book appeared in 1989, but the subject has moved ever onwards, with increasing emphasis on Monte Carlo based techniques.This new fourth edition looks at recent techniques such as variational methods, Bayesian importance ... En savoir plus

    $69.99 CAD

  • Introduction to Bayesian Econometrics

    par Edward Greenberg ...
    This textbook explains the basic ideas of subjective probability and shows how subjective probabilities must obey the usual rules of probability to ensure coherency. It defines the likelihood function, prior distributions and posterior distributions. It explains how posterior distributions are the basis for inference and explores their basic properties. Various methods of specifying prior ... En savoir plus

    $55.99 CAD

  • Understanding Computational Bayesian Statistics

    par William M. Bolstad ...
    Collections Livre 644 - Wiley Series in Computational Statistics
    A hands-on introduction to computational statistics from a Bayesian point of viewProviding a solid grounding in statistics while uniquely covering the topics from a Bayesian perspective, Understanding Computational Bayesian Statistics successfully guides readers through this new, cutting-edge approach. With its hands-on treatment of the topic, the book shows how samples can be drawn from the ... En savoir plus

    $175.99 CAD

  • Applied Regression Analysis

    par Norman R. Draper, Harry Smith ...
    Collections Livre 326 - Wiley Series in Probability and Statistics
    An outstanding introduction to the fundamentals of regression analysis-updated and expanded The methods of regression analysis are the most widely used statistical tools for discovering the relationships among variables. This classic text, with its emphasis on clear, thorough presentation of concepts and applications, offers a complete, easily accessible introduction to the fundamentals of ... En savoir plus

    $242.99 CAD

  • A First Course in Machine Learning

    par Simon Rogers, Mark Girolami ...
    Collections series Chapman & Hall/CRC Machine Learning & Pattern Recognition
    "A First Course in Machine Learning by Simon Rogers and Mark Girolami is the best introductory book for ML currently available. It combines rigor and precision with accessibility, starts from a detailed explanation of the basic foundations of Bayesian analysis in the simplest of settings, and goes all the way to the frontiers of the subject such as infinite mixture models, GPs, and MCMC."—Devdatt ... En savoir plus

    $89.31 CAD

  • Statistical Analysis Techniques in Particle Physics

    Fits, Density Estimation and Supervised Learning

    par Ilya Narsky, Frank C. Porter ...
    Modern analysis of HEP data needs advanced statistical tools to separate signal from background. This is the first book which focuses on machine learning techniques. It will be of interest to almost every high energy physicist, and, due to its coverage, suitable for students. ... En savoir plus

    $140.99 CAD

  • In All Likelihood

    Statistical Modelling and Inference Using Likelihood

    par Yudi Pawitan ...
    Based on a course in the theory of statistics this text concentrates on what can be achieved using the likelihood/Fisherian method of taking account of uncertainty when studying a statistical problem. It takes the concept ot the likelihood as providing the best methods for unifying the demands of statistical modelling and the theory of inference. Every likelihood concept is illustrated by ... En savoir plus

    $59.19 CAD

  • Bayesian Analysis of Stochastic Process Models

    par Mike Wiper, Fabrizio Ruggeri, David Insua ...
    Collections Livre 978 - Wiley Series in Probability and Statistics
    Bayesian analysis of complex models based on stochastic processes has in recent years become a growing area. This book provides a unified treatment of Bayesian analysis of models based on stochastic processes, covering the main classes of stochastic processing including modeling, computational, inference, forecasting, decision making and important applied models.Key features:Explores Bayesian ... En savoir plus

    $126.99 CAD

  • Applied Bayesian Statistics

    With R and OpenBUGS Examples

    par Mary Kathryn Cowles ...
    Collections series Mathematics and Statistics (R0)
    This book is based on over a dozen years teaching a Bayesian Statistics course. The material presented here has been used by students of different levels and disciplines, including advanced undergraduates studying Mathematics and Statistics and students in graduate programs in Statistics, Biostatistics, Engineering, Economics, Marketing, Pharmacy, and Psychology. The goal of the book is to impart ... En savoir plus

    $140.89 CAD