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Top Series in United States

Showing 1 - 12 of 12 results for “larry wasserman”
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  • All of Statistics

    A Concise Course in Statistical Inference

    by Larry Wasserman ...
    Series series Mathematics and Statistics (R0)
    Taken literally, the title "All of Statistics" is an exaggeration. But in spirit, the title is apt, as the book does cover a much broader range of topics than a typical introductory book on mathematical statistics. This book is for people who want to learn probability and statistics quickly. It is suitable for graduate or advanced undergraduate students in computer science, mathematics, statistics ... Read more

    $58.49 USD

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  • Sets, Logic and Maths for Computing

    by David Makinson ...
    Series series Computer Science (R0)
    This easy-to-follow textbook introduces the mathematical language, knowledge and problem-solving skills that undergraduates need to study computing. The language is in part qualitative, with concepts such as set, relation, function and recursion/induction; but it is also partly quantitative, with principles of counting and finite probability. Entwined with both are the fundamental notions of logic ... Read more

    $31.49 USD

  • Seamless R and C++ Integration with Rcpp

    by Dirk Eddelbuettel ...
    Series series Mathematics and Statistics (R0)
    Rcpp is the glue that binds the power and versatility of R with the speed and efficiency of C++. With Rcpp, the transfer of data between R and C++ is nearly seamless, and high-performance statistical computing is finally accessible to most R users. Rcpp should be part of every statistician's toolbox. -- Michael Braun, MIT Sloan School of Management"Seamless R and C++ integration with Rcpp" is ... Read more

    $89.09 USD

  • Matrix Algebra

    Theory, Computations and Applications in Statistics

    by James E. Gentle ...
    Series series Mathematics and Statistics (R0)
    This textbook for graduate and advanced undergraduate students presents the theory of matrix algebra for statistical applications, explores various types of matrices encountered in statistics, and covers numerical linear algebra. Matrix algebra is one of the most important areas of mathematics in data science and in statistical theory, and the second edition of this very popular textbook provides ... Read more

    $116.99 USD

  • Parametric and Nonparametric Inference for Statistical Dynamic Shape Analysis with Applications

    by Chiara Brombin, Luigi Salmaso, Lara Fontanella, Luigi Ippoliti, Caterina Fusilli ...
    Series series Mathematics and Statistics (R0)
    This book considers specific inferential issues arising from the analysis of dynamic shapes with the attempt to solve the problems at hand using probability models and nonparametric tests. The models are simple to understand and interpret and provide a useful tool to describe the global dynamics of the landmark configurations. However, because of the non-Euclidean nature of shape spaces, ... Read more

    $49.99 USD

  • Sets, Logic and Maths for Computing

    by David Makinson ...
    Series series Computer Science (R0)
    The first part of this preface is for the student; the second for the instructor. But whoever you are, welcome to both parts. For the Student You have finished secondary school, and are about to begin at a university or technical college. You want to study computing. The course includes some mathematics { and that was not necessarily your favourite subject. But there is no escape: some finite ... Read more

    $40.49 USD

  • Python for Probability, Statistics, and Machine Learning

    by José Unpingco ...
    Series series Engineering (R0)
    This book, fully updated for Python version 3.6+, covers the key ideas that link probability, statistics, and machine learning illustrated using Python modules in these areas. All the figures and numerical results are reproducible using the Python codes provided. The author develops key intuitions in machine learning by working meaningful examples using multiple analytical methods and Python codes ... Read more

    $107.99 USD

  • Monte Carlo Statistical Methods

    by Christian Robert, George Casella ...
    Series series Mathematics and Statistics (R0)
    Monte Carlo statistical methods, particularly those based on Markov chains, are now an essential component of the standard set of techniques used by statisticians. This new edition has been revised towards a coherent and flowing coverage of these simulation techniques, with incorporation of the most recent developments in the field. In particular, the introductory coverage of random variable ... Read more

    $143.09 USD

  • Condition

    The Geometry of Numerical Algorithms

    by Peter Bürgisser, Felipe Cucker ...
    Series series Mathematics and Statistics (R0)
    This book gathers threads that have evolved across different mathematical disciplines into seamless narrative. It deals with condition as a main aspect in the understanding of the performance ---regarding both stability and complexity--- of numerical algorithms. While the role of condition was shaped in the last half-century, so far there has not been a monograph treating this subject in a uniform ... Read more

    $134.09 USD

  • Recent Advances in Algorithmic Differentiation

    Edited by Shaun Forth, Paul Hovland, Eric Phipps, Jean Utke, Andrea Walther ...
    Series series Springer Nature Proceedings excluding Computer Science
    The proceedings represent the state of knowledge in the area of algorithmic differentiation (AD). The 31 contributed papers presented at the AD2012 conference cover the application of AD to many areas in science and engineering as well as aspects of AD theory and its implementation in tools. For all papers the referees, selected from the program committee and the greater community, as well as the ... Read more

    $89.99 USD

  • A SAS/IML Companion for Linear Models

    by Jamis J. Perrett ...
    Series series Mathematics and Statistics (R0)
    Linear models courses are often presented as either theoretical or applied. Consequently, students may find themselves either proving theorems or using high-level procedures like PROC GLM to analyze data. There exists a gap between the derivation of formulas and analyses that hide these formulas behind attractive user interfaces. This book bridges that gap, demonstrating theory put into practice ... Read more

    $49.99 USD

  • Statistical Analysis for High-Dimensional Data

    The Abel Symposium 2014

    Edited by Ingrid Glad, Arnoldo Frigessi, Sylvia Richardson, Peter Bühlmann, Marina Vannucci, Mette Langaas ...
    Series series Springer Nature Proceedings excluding Computer Science
    This book features research contributions from The Abel Symposium on Statistical Analysis for High Dimensional Data, held in Nyvågar, Lofoten, Norway, in May 2014.The focus of the symposium was on statistical and machine learning methodologies specifically developed for inference in “big data” situations, with particular reference to genomic applications. The contributors, who are among the most ... Read more

    $143.09 USD