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Showing 1 - 12 of 12 results for “subhashis ghosal”
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  • Frontiers of Statistics and Data Science

    Edited by Subhashis Ghosal, Anindya Roy ...
    Series series Mathematics and Statistics (R0)
    This book addresses a diverse set of topics of contemporary interest in statistics and data science such as biostatistics and machine learning. Each chapter provides an overview of the topic under discussion, so that any reader with an understanding of graduate-level statistics, but not necessarily with a prior background on the topic should be able to get a summary of developments in the field. ... Read more

    $161.09 USD

  • Fundamentals of Nonparametric Bayesian Inference

    by Subhashis Ghosal, Aad van der Vaart ...
    Series Book 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 ... Read more

    $95.19 USD

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  • Understanding Deep Learning

    by Simon J.D. Prince ...
    An authoritative, accessible, and up-to-date treatment of deep learning that strikes a pragmatic middle ground between theory and practice.Deep learning is a fast-moving field with sweeping relevance in today’s increasingly digital world. Understanding Deep Learning provides an authoritative, accessible, and up-to-date treatment of the subject, covering all the key topics along with recent ... Read more

    $54.99 USD

  • Machine Learning from Weak Supervision

    An Empirical Risk Minimization Approach

    by Masashi Sugiyama, Han Bao, Takashi Ishida, Nan Lu, Tomoya Sakai ...
    Series series Adaptive Computation and Machine Learning series
    Fundamental theory and practical algorithms of weakly supervised classification, emphasizing an approach based on empirical risk minimization.Standard machine learning techniques require large amounts of labeled data to work well. When we apply machine learning to problems in the physical world, however, it is extremely difficult to collect such quantities of labeled data. In this book Masashi ... Read more

    $39.99 USD

  • The Oxford Handbook of Applied Bayesian Analysis

    Edited by Anthony O' Hagan, Mike West ...
    Series series Oxford Handbooks
    Bayesian analysis has developed rapidly in applications in the last two decades and research in Bayesian methods remains dynamic and fast-growing. Dramatic advances in modelling concepts and computational technologies now enable routine application of Bayesian analysis using increasingly realistic stochastic models, and this drives the adoption of Bayesian approaches in many areas of science, ... Read more

    $48.99 USD

  • Handbook of Computational Statistics

    Concepts and Methods

    Edited by James E. Gentle, Wolfgang Karl Härdle, Yuichi Mori ...
    Series series Mathematics and Statistics (R0)
    The Handbook of Computational Statistics - Concepts and Methods (second edition) is a revision of the first edition published in 2004, and contains additional comments and updated information on the existing chapters, as well as three new chapters addressing recent work in the field of computational statistics. This new edition is divided into 4 parts in the same way as the first edition. It ... Read more

    $287.09 USD

  • Analyzing the Large Number of Variables in Biomedical and Satellite Imagery

    by Phillip I. Good ...
    This book grew out of an online interactive offered through statcourse.com, and it soon became apparent to the author that the course was too limited in terms of time and length in light of the broad backgrounds of the enrolled students. The statisticians who took the course needed to be brought up to speed both on the biological context as well as on the specialized statistical methods needed to ... Read more

    $75.00 USD

  • Basic and Advanced Bayesian Structural Equation Modeling

    With Applications in the Medical and Behavioral Sciences

    by Sik-Yum Lee, Xin-Yuan Song ...
    Series series Wiley Series in Probability and Statistics
    This book provides clear instructions to researchers on how to apply Structural Equation Models (SEMs) for analyzing the inter relationships between observed and latent variables.Basic and Advanced Bayesian Structural Equation Model**ing introduces basic and advanced SEMs for analyzing various kinds of complex data, such as ordered and unordered categorical data, multilevel data, mixture data, ... Read more

    $92.00 USD

  • Data Processing for the AHP/ANP

    by Daji Ergu, Yong Shi, Gang Kou, Yi Peng ...
    Series series Business and Management (R0)
    The positive reciprocal pairwise comparison matrix (PCM) is one of the key components which is used to quantify the qualitative and/or intangible attributes into measurable quantities. This book examines six understudied issues of PCM, i.e. consistency test, inconsistent data identification and adjustment, data collection, missing or uncertain data estimation, and sensitivity analysis of rank ... Read more

    $49.49 USD

  • Some Recent Advances In Mathematics And Statistics - Proceedings Of Statistics 2011 Canada/imst 2011-fim Xx

    by Yogendra P Chaubey ...
    This volume consists of a series of research papers presented at the conference Statistics 2011 Canada: 5th Canadian Conference in Applied Statistics held together with the 20th conference of the Forum for Interdisciplinary Mathematics titled, “Interdisciplinary Mathematical & Statistical Techniques”. These papers cover a wide range of topics from applications of Mathematics and Statistics such as ... Read more

    $45.89 USD

  • An Introduction to Artificial Psychology

    Application Fuzzy Set Theory and Deep Machine Learning in Psychological Research using R

    by Hojjatollah Farahani, Marija Blagojević, Parviz Azadfallah, Peter Watson, Forough Esrafilian, Sara Saljoughi ...
    Series series Behavioral Science and Psychology (R0)
    Artificial Psychology (AP) is a highly multidisciplinary field of study in psychology. AP tries to solve problems which occur when psychologists do research and need a robust analysis method. Conventional statistical approaches have deep rooted limitations. These approaches are excellent on paper but often fail to model the real world. Mind researchers have been trying to overcome this by ... Read more

    $188.09 USD

  • Handbook of Big Data Analytics

    Edited by Wolfgang Karl Härdle, Henry Horng-Shing Lu, Xiaotong Shen ...
    Series series Mathematics and Statistics (R0)
    Addressing a broad range of big data analytics in cross-disciplinary applications, this essential handbook focuses on the statistical prospects offered by recent developments in this field. To do so, it covers statistical methods for high-dimensional problems, algorithmic designs, computation tools, analysis flows and the software-hardware co-designs that are needed to support insightful ... Read more

    $332.99 USD