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1-12 sur 12 résultats pour « sumio watanabe »
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  • Mathematical Theory of Bayesian Statistics

    par Sumio Watanabe ...
    Mathematical Theory of Bayesian Statistics introduces the mathematical foundation of Bayesian inference which is well-known to be more accurate in many real-world problems than the maximum likelihood method. Recent research has uncovered several mathematical laws in Bayesian statistics, by which both the generalization loss and the marginal likelihood are estimated even if the posterior ... En savoir plus

    $111.30 CAD

  • Algebraic Geometry and Statistical Learning Theory

    par Sumio Watanabe ...
    Collections Livre 25 - Cambridge Monographs on Applied and Computational Mathematics
    Sure to be influential, this book lays the foundations for the use of algebraic geometry in statistical learning theory. Many widely used statistical models and learning machines applied to information science have a parameter space that is singular: mixture models, neural networks, HMMs, Bayesian networks, and stochastic context-free grammars are major examples. Algebraic geometry and singularity ... En savoir plus

    $102.99 CAD

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  • Probability

    An Introduction

    par Dominic Welsh, Geoffrey Grimmett ...
    Probability is an area of mathematics of tremendous contemporary importance across all aspects of human endeavour. This book is a compact account of the basic features of probability and random processes at the level of first and second year mathematics undergraduates and Masters' students in cognate fields. It is suitable for a first course in probability, plus a follow-up course in random ... En savoir plus

    $43.19 CAD

  • A Modern Theory of Random Variation

    With Applications in Stochastic Calculus, Financial Mathematics, and Feynman Integration

    par Patrick Muldowney ...
    A ground-breaking and practical treatment of probability and stochastic processesA Modern Theory of Random Variation is a new and radical re-formulation of the mathematical underpinnings of subjects as diverse as investment, communication engineering, and quantum mechanics. Setting aside the classical theory of probability measure spaces, the book utilizes a mathematically rigorous version of the ... En savoir plus

    $151.99 CAD

  • Fundamentals of Nonparametric Bayesian Inference

    par Subhashis Ghosal, Aad van der Vaart ...
    Collections Livre 44 - Cambridge Series in Statistical and Probabilistic Mathematics
    Explosive growth in computing power has made Bayesian methods for infinite-dimensional models - Bayesian nonparametrics - a nearly universal framework for inference, finding practical use in numerous subject areas. Written by leading researchers, this authoritative text draws on theoretical advances of the past twenty years to synthesize all aspects of Bayesian nonparametrics, from prior ... En savoir plus

    $106.99 CAD

  • Mathematics for Econometrics

    par Phoebus J. Dhrymes ...
    Collections 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 ... En savoir plus

    $153.69 CAD

  • Nonlinear Optimization

    par Andrzej Ruszczynski ...
    Optimization is one of the most important areas of modern applied mathematics, with applications in fields from engineering and economics to finance, statistics, management science, and medicine. While many books have addressed its various aspects, Nonlinear Optimization is the first comprehensive treatment that will allow graduate students and researchers to understand its modern ideas, ... En savoir plus

    $145.19 CAD

  • Linear Models and the Relevant Distributions and Matrix Algebra

    par David A. Harville ...
    Collections series Chapman & Hall/CRC Texts in Statistical Science
    Linear Models and the Relevant Distributions and Matrix Algebra provides in-depth and detailed coverage of the use of linear statistical models as a basis for parametric and predictive inference. It can be a valuable reference, a primary or secondary text in a graduate-level course on linear models, or a resource used (in a course on mathematical statistics) to illustrate various theoretical ... En savoir plus

    Prix courant $89.99 CAD Maintenant $79.69 CAD

  • Smart Information Systems

    Computational Intelligence for Real-Life Applications

    Modifié par Frank Hopfgartner ...
    Collections series Computer Science (R0)
    This text presents an overview of smart information systems for both the private and public sector, highlighting the research questions that can be studied by applying computational intelligence. The book demonstrates how to transform raw data into effective smart information services, covering the challenges and potential of this approach. Each chapter describes the algorithms, tools, measures ... En savoir plus

    $64.09 CAD

  • Privacy and Data Protection Issues of Biometric Applications

    A Comparative Legal Analysis

    par Els J. Kindt ...
    Collections series Law and Criminology (R0)
    This book discusses all critical privacy and data protection aspects of biometric systems from a legal perspective. It contains a systematic and complete analysis of the many issues raised by these systems based on examples worldwide and provides several recommendations for a transnational regulatory framework. An appropriate legal framework is in most countries not yet in place.Biometric systems ... En savoir plus

    $344.99 CAD

  • Digital and Discrete Geometry

    Theory and Algorithms

    par Li M. Chen ...
    Collections series Computer Science (R0)
    This book provides comprehensive coverage of the modern methods for geometric problems in the computing sciences. It also covers concurrent topics in data sciences including geometric processing, manifold learning, Google search, cloud data, and R-tree for wireless networks and BigData.The author investigates digital geometry and its related constructive methods in discrete geometry, offering ... En savoir plus

    $64.99 CAD

  • An Introduction to Object Recognition

    Selected Algorithms for a Wide Variety of Applications

    par Marco Alexander Treiber ...
    Collections series Computer Science (R0)
    Rapid development of computer hardware has enabled usage of automatic object recognition in an increasing number of applications, ranging from industrial image processing to medical applications, as well as tasks triggered by the widespread use of the internet. Each area of application has its specific requirements, and consequently these cannot all be tackled appropriately by a single, general ... En savoir plus

    $64.99 CAD