Skip to main content
Search Button
Canada Kobo store Gift Cards Help

Rakuten Kobo

Wishlist

Shopping Cart

You're getting the VIP treatment!

Item(s) unavailable for purchase
Please review your cart. You can remove the unavailable item(s) now or we'll automatically remove it at Checkout.
itemsitem
itemsitem

Recommended For You

Loading...


Showing 1 - 12 of 12 results for “bani mallick”
Skip side bar filters

  • Generalized Linear Models

    A Bayesian Perspective

    Edited by Dipak K. Dey, Sujit K. Ghosh, Bani K. Mallick ...
    Series series Chapman & Hall/CRC Biostatistics Series
    This volume describes how to conceptualize, perform, and critique traditional generalized linear models (GLMs) from a Bayesian perspective and how to use modern computational methods to summarize inferences using simulation. Introducing dynamic modeling for GLMs and containing over 1000 references and equations, Generalized Linear Models considers ... Read more

    $133.99 CAD

  • Bayesian Modeling in Bioinformatics

    Edited by Dipak K. Dey, Samiran Ghosh, Bani K. Mallick ...
    Series series Chapman & Hall/CRC Biostatistics Series
    Bayesian Modeling in Bioinformatics discusses the development and application of Bayesian statistical methods for the analysis of high-throughput bioinformatics data arising from problems in molecular and structural biology and disease-related medical research, such as cancer. It presents a broad overview of statistical inference, clustering, and c ... Read more

    $133.99 CAD

  • Large-Scale Inverse Problems and Quantification of Uncertainty

    Edited by Lorenz Biegler, George Biros, Omar Ghattas, Matthias Heinkenschloss, David Keyes, Luis Tenorio, Bart van Bloemen Waanders, Karen Willcox, Bani Mallick, Youssef Marzouk ...
    Series Book 712 - Wiley Series in Computational Statistics
    This book focuses on computational methods for large-scale statistical inverse problems and provides an introduction to statistical Bayesian and frequentist methodologies. Recent research advances for approximation methods are discussed, along with Kalman filtering methods and optimization-based approaches to solving inverse problems. The aim is to cross-fertilize the perspectives of researchers ... Read more

    $171.99 CAD

People who read these also enjoyed

  • 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

    $96.99 CAD

  • Causal Inference in Statistics

    A Primer

    by Judea Pearl, Madelyn Glymour, Nicholas P. Jewell ...
    CAUSAL INFERENCE IN STATISTICSA PrimerCausality is central to the understanding and use of data. Without an understanding of cause–effect relationships, we cannot use data to answer questions as basic as "Does this treatment harm or help patients?" But though hundreds of introductory texts are available on statistical methods of data analysis, until now, no beginner-level book has been written ... Read more

    $53.99 CAD

  • Algorithms in Computational Molecular Biology

    Techniques, Approaches and Applications

    by Yi Pan ...
    Series Book 21 - Wiley Series in Bioinformatics
    This book represents the most comprehensive and up-to-date collection of information on the topic of computational molecular biology. Bringing the most recent research into the forefront of discussion, Algorithms in Computational Molecular Biology studies the most important and useful algorithms currently being used in the field, and provides related problems. It also succeeds where other titles ... Read more

    $217.99 CAD

  • Sample Size Calculations in Clinical Research

    by Shein-Chung Chow, Jun Shao, Hansheng Wang, Yuliya Lokhnygina ...
    Series series Chapman & Hall/CRC Biostatistics Series
    Praise for the Second Edition:"… this is a useful, comprehensive compendium of almost every possible sample size formula. The strong organization and carefully defined formulae will aid any researcher designing a study." -Biometrics"This impressive book contains formulae for computing sample size in a wide range of settings. One-sample studies and two-sample comparisons for quantitative, binary, ... Read more

    $88.99 CAD

  • Computer Age Statistical Inference

    Algorithms, Evidence, and Data Science

    by Bradley Efron, Trevor Hastie ...
    Series Book 5 - Institute of Mathematical Statistics Monographs
    The twenty-first century has seen a breathtaking expansion of statistical methodology, both in scope and in influence. 'Big data', 'data science', and 'machine learning' have become familiar terms in the news, as statistical methods are brought to bear upon the enormous data sets of modern science and commerce. How did we get here? And where are we going? This book takes us on an exhilarating ... Read more

    $81.99 CAD

  • The Phylogenetic Handbook

    A Practical Approach to Phylogenetic Analysis and Hypothesis Testing

    Edited by Philippe Lemey, Marco Salemi, Anne-Mieke Vandamme ...
    The Phylogenetic Handbook is a broad, hands on guide to theory and practice of nucleotide and protein phylogenetic analysis. This second edition includes six new chapters, covering topics such as Bayesian inference, tree topology testing and the impact of recombination on phylogenies, as well as a detailed section on molecular adaptation. The book has a stronger focus on hypothesis testing than ... Read more

    $75.99 CAD

  • Probabilistic Methods for Bioinformatics

    with an Introduction to Bayesian Networks

    by Richard E. Neapolitan ...
    The Bayesian network is one of the most important architectures for representing and reasoning with multivariate probability distributions. When used in conjunction with specialized informatics, possibilities of real-world applications are achieved. Probabilistic Methods for BioInformatics explains the application of probability and statistics, in particular Bayesian networks, to genetics. This ... Read more

    $64.99 CAD

  • Bayesian Statistics

    An Introduction

    by 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 ... Read more

    $69.99 CAD

  • Molecular Evolution

    A Statistical Approach

    by Ziheng Yang ...
    Studies of evolution at the molecular level have experienced phenomenal growth in the last few decades, due to rapid accumulation of genetic sequence data, improved computer hardware and software, and the development of sophisticated analytical methods. The flood of genomic data has generated an acute need for powerful statistical methods and efficient computational algorithms to enable their ... Read more

    $80.99 CAD