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Showing 1 - 12 of 12 results for “brigitte le roux”
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  • Combinatorial Inference in Geometric Data Analysis

    by Brigitte Le Roux, Solène Bienaise, Jean-Luc Durand ...
    Series series Chapman & Hall/CRC Computer Science & Data Analysis
    Geometric Data Analysis designates the approach of Multivariate Statistics that conceptualizes the set of observations as a Euclidean cloud of points. Combinatorial Inference in Geometric Data Analysis gives an overview of multidimensional statistical inference methods applicable to clouds of points that make no assumption on the process of generating data or distributions, and that are not based ... Read more

    $62.99 USD

  • Multiple Correspondence Analysis

    by Brigitte Le Roux, Henry Rouanet ...
    Series series Quantitative Applications in the Social Sciences
    Requiring no prior knowledge of correspondence analysis, this text provides a nontechnical introduction to Multiple Correspondence Analysis (MCA) as a method in its own right. The authors, Brigitte LeRoux and Henry Rouanet, present thematerial in a practical manner, keeping the needs of researchers foremost in mind.Key FeaturesReaders learn how to construct geometric spaces from relevant data, ... Read more

    $36.89 USD

  • Empirical Investigations of Social Space

    Edited by Jörg Blasius, Frédéric Lebaron, Brigitte Le Roux, Andreas Schmitz ...
    Series series Mathematics and Statistics (R0)
    This book provides an in-depth view on Bourdieu’s empirical work, thereby specially focusing on the construction of the social space and including the concept of the habitus. Themes described in the book include amongst others:• the theory and methodology for the construction of “social spaces”,• the relation between various “fields” and “the field of power”,• formal construction and empirical ... Read more

    $170.09 USD

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  • System Identification

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    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 ... Read more

    $134.99 USD

  • Machine Learning

    a Concise Introduction

    by Steven W. Knox ...
    Series Book 285 - Wiley Series in Probability and Statistics
    **AN INTRODUCTION TO MACHINE LEARNING THAT INCLUDES THE FUNDAMENTAL TECHNIQUES, METHODS, AND APPLICATIONSPROSE Award Finalist 2019Association of American Publishers Award for Professional and Scholarly Excellence**Machine Learning: a Concise Introduction offers a comprehensive introduction to the core concepts, approaches, and applications of machine learning. The author—an expert in the field ... Read more

    $86.00 USD

  • Regularized System Identification

    Learning Dynamic Models from Data

    by Gianluigi Pillonetto, Tianshi Chen, Alessandro Chiuso, Giuseppe De Nicolao, Lennart Ljung ...
    Series series Engineering (R0)
    This open access book provides a comprehensive treatment of recent developments in kernel-based identification that are of interest to anyone engaged in learning dynamic systems from data. The reader is led step by step into understanding of a novel paradigm that leverages the power of machine learning without losing sight of the system-theoretical principles of black-box identification. The ... Read more

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  • 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

    $81.19 USD

  • Probability in Electrical Engineering and Computer Science

    An Application-Driven Course

    by Jean Walrand ...
    Series series Computer Science (R0)
    This revised textbook motivates and illustrates the techniques of applied probability by applications in electrical engineering and computer science (EECS). The author presents information processing and communication systems that use algorithms based on probabilistic models and techniques, including web searches, digital links, speech recognition, GPS, route planning, recommendation systems, ... Read more

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  • Bayesian Essentials with R

    by Christian P. Robert, Jean-Michel Marin ...
    Series series Mathematics and Statistics (R0)
    This Bayesian modeling book provides a self-contained entry to computational Bayesian statistics. Focusing on the most standard statistical models and backed up by real datasets and an all-inclusive R (CRAN) package called bayess, the book provides an operational methodology for conducting Bayesian inference, rather than focusing on its theoretical and philosophical justifications.Readers are ... Read more

    $98.09 USD

  • Scientific Inference

    Learning from Data

    by Simon Vaughan ...
    Providing the knowledge and practical experience to begin analysing scientific data, this book is ideal for physical sciences students wishing to improve their data handling skills. The book focuses on explaining and developing the practice and understanding of basic statistical analysis, concentrating on a few core ideas, such as the visual display of information, modelling using the likelihood ... Read more

    $43.49 USD

  • Probability Theory: A Complete One-semester Course

    by Nikolai Dokuchaev ...
    This book provides a systematic, self-sufficient and yet short presentation of the mainstream topics on introductory Probability Theory with some selected topics from Mathematical Statistics. It is suitable for a 10- to 14-week course for second- or third-year undergraduate students in Science, Mathematics, Statistics, Finance, or Economics, who have completed some introductory course in Calculus. ... Read more

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  • 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

    $85.29 USD