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1. 

A First Course in Machine Learning

A First Course in Machine Learning

By: Simon Rogers; Mark Girolami

Publisher: Chapman and Hall/CRC

Publication Date: 25-OCT-2011

Insert Date: 18-APR-2014

Slots: 1.0

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Requiring minimal mathematical prerequisites, this classroom-tested text covers the core mathematical and statistical techniques needed to understand some of the most popular machine learning algorithms, including classification, clustering, and projection algorithms. The MATLAB<SUP>®</SUP>/Octave scripts available online enable readers to recreate plots that appear in the book and investigate changing model specifications and parameter values. By experimenting with the various algorithms and concepts, readers see how an abstract set of equations can be used to solve real problems. A...

2. 

Multi-Label Dimensionality Reduction

Multi-Label Dimensionality Reduction

By: Liang Sun; Shuiwang Ji; Jieping Ye

Publisher: Chapman and Hall/CRC

Publication Date: 04-NOV-2013

Insert Date: 18-APR-2014

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The data mining and machine learning literature currently lacks a unified treatment of multi-label dimensionality reduction that incorporates both algorithmic developments and applications. Addressing this shortfall, this book covers the methodological developments, theoretical properties, computational aspects, and applications of many multi-label dimensionality reduction algorithms, including existing dimensionality reduction algorithms and new developments of traditional algorithms. It illustrates how to apply the algorithms to solve real-world problems. A supplementary website provides...

3. 

Examples and Problems in Mathematical Statistics

Examples and Problems in Mathematical Statistics

By: 

Publisher: John Wiley & Sons

Publication Date: 24-FEB-2014

Insert Date: 08-APR-2014

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Provides the necessary skills to solve problems in mathematical statistics through theory, concrete examples, and exercises With a clear and detailed approach to the fundamentals of statistical theory, Examples and Problems in Mathematical Statistics uniquely bridges the gap between theory andapplication and presents numerous problem-solving examples that illustrate the relatednotations and proven results. Written by an established authority in probability and mathematical statistics, each chapter begins with a theoretical presentation to introduce both the topic and the important...

4. 

Nonparametric Statistical Methods, 3rd Edition

Nonparametric Statistical Methods, 3rd Edition

By: 

Publisher: John Wiley & Sons

Publication Date: 25-NOV-2013

Insert Date: 22-MAR-2014

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Praise for the Second Edition "This book should be an essential part of the personal library of every practicing statistician."—Technometrics Thoroughly revised and updated, the new edition of Nonparametric Statistical Methods includes additional modern topics and procedures, more practical data sets, and new problems from real-life situations. The book continues to emphasize the importance of nonparametric methods as a significant branch of modern statistics and equips readers with the conceptual and technical skills necessary to select and apply the appropriate procedures for any...

5. 

Introduction to Stochastic Models

Introduction to Stochastic Models

By: Marius Iosifescu; Nikolaos Limnios; Gheorghe Oprisan

Publisher: John Wiley & Sons

Publication Date: 19-APR-2010

Insert Date: 11-MAR-2014

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This book provides a pedagogical examination of the way in which stochastic models are encountered in applied sciences and techniques such as physics, engineering, biology and genetics, economics and social sciences. It covers Markov and semi-Markov models, as well as their particular cases: Poisson, renewal processes, branching processes, Ehrenfest models, genetic models, optimal stopping, reliability, reservoir theory, storage models, and queuing systems. Given this comprehensive treatment of the subject, students and researchers in applied sciences, as well as anyone looking for an...

6. 

Explorations in Topology

Explorations in Topology, Second Edition

By: David Gay

Publisher: Elsevier

Publication Date: 04-DEC-2013

Insert Date: 28-FEB-2014

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Explorations in Topology, Second Edition, provides students a rich experience with low-dimensional topology (map coloring, surfaces, and knots), enhances their geometrical and topological intuition, empowers them with new approaches to solving problems, and provides them with experiences that will help them make sense of future, more formal topology courses. The book's innovative story-line style models the problem-solving process, presents the development of concepts in a natural way, and engages students in meaningful encounters with the material. The updated end-of-chapter...

7. 

Foundational and Applied Statistics for Biologists Using R

Foundational and Applied Statistics for Biologists Using R

By: Ken Aho

Publisher: Chapman and Hall/CRC

Publication Date: 13-DEC-2013

Insert Date: 26-FEB-2014

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Full of biological applications, exercises, and interactive graphical examples, this text presents comprehensive coverage of both modern analytical methods and statistical foundations. The author harnesses the inherent properties of the R environment to enable students to examine the code of complicated procedures step by step and thus better understand the process of obtaining analysis results. The graphical capabilities of R are used to provide interactive demonstrations of simple to complex statistical concepts. R code and other materials are available online. ...

8. 

Analysis of Multivariate and High-Dimensional Data

Analysis of Multivariate and High-Dimensional Data

By: Inge Koch

Publisher: Cambridge University Press

Publication Date: 30-NOV-2013

Insert Date: 25-FEB-2014

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Big data' poses challenges that require both classical multivariate methods and contemporary techniques from machine learning and engineering. This modern text equips you for the new world - integrating the old and the new, fusing theory and practice and bridging the gap to statistical learning. The theoretical framework includes formal statements that set out clearly the guaranteed 'safe operating zone' for the methods and allow you to assess whether data is in the zone, or near enough. Extensive examples showcase the strengths and limitations of different methods with small classical...

9. 

An Introduction to Kalman Filtering with MATLAB Examples

An Introduction to Kalman Filtering with MATLAB Examples

By: Narayan Kovvali; Mahesh Banavar; Andreas Spanias

Publisher: Morgan & Claypool Publishers

Publication Date: 01-SEP-2013

Insert Date: 19-FEB-2014

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The Kalman filter is the Bayesian optimum solution to the problem of sequentially estimating the states of a dynamical system in which the state evolution and measurement processes are both linear and Gaussian. Given the ubiquity of such systems, the Kalman filter finds use in a variety of applications, e.g., target tracking, guidance and navigation, and communications systems. The purpose of this book is to present a brief introduction to Kalman filtering. The theoretical framework of the Kalman filter is first presented, followed by examples showing its use in practical applications....

10. 

Bayesian Logical Data Analysis for the Physical Sciences

Bayesian Logical Data Analysis for the Physical Sciences

By: Phil Gregory

Publisher: Cambridge University Press

Publication Date: 14-APR-2005

Insert Date: 11-DEC-2013

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Bayesian inference provides a simple and unified approach to data analysis, allowing experimenters to assign probabilities to competing hypotheses of interest, on the basis of the current state of knowledge. By incorporating relevant prior information, it can sometimes improve model parameter estimates by many orders of magnitude. This book provides a clear exposition of the underlying concepts with many worked examples and problem sets. It also discusses implementation, including an introduction to Markov chain Monte-Carlo integration and linear and nonlinear model fitting. Particularly...

11. 

Statistical Methods for QTL Mapping

Statistical Methods for QTL Mapping

By: Zehua Chen

Publisher: Chapman and Hall/CRC

Publication Date: 01-NOV-2013

Insert Date: 10-NOV-2013

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While numerous advanced statistical approaches have recently been developed for quantitative trait loci (QTL) mapping, the methods are scattered throughout the literature. This book brings together many recent statistical techniques that address the data complexity of QTL mapping. It emphasizes the modern statistical methodology for QTL mapping as well as the statistical issues that arise during this process. The book gives the necessary biological background for statisticians without training in genetics and, likewise, covers statistical thinking and principles for geneticists. ...

12. 

Financial and Actuarial Statistics: An Introduction, Second Edition

Financial and Actuarial Statistics: An Introduction, Second Edition

By: Dale Borowiak; Arnold Shapiro

Publisher: Chapman and Hall/CRC

Publication Date: 25-NOV-2013

Insert Date: 10-NOV-2013

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This work enables readers to obtain the mathematical and statistical background required in the current financial and actuarial industries. It also advances the application and theory of statistics in modern financial and actuarial modeling. This second edition adds a substantial amount of new material, including Excel exercises with solutions; nomenclature and notations standard to the actuarial field; a new chapter on Markov chains and actuarial applications; expanded discussions on simulation, surplus models, and ruin computations; and much more. ...

13. 

Mathematical Methods for Finance: Tools for Asset and Risk Management

Mathematical Methods for Finance: Tools for Asset and Risk Management

By: 

Publisher: John Wiley & Sons

Publication Date: 23-SEP-2013

Insert Date: 07-NOV-2013

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The mathematical and statistical tools needed in the rapidly growing quantitative finance field With the rapid growth in quantitative finance, practitioners must achieve a high level of proficiency in math and statistics. Mathematical Methods and Statistical Tools for Finance, part of the Frank J. Fabozzi Series, has been created with this in mind. Designed to provide the tools needed to apply finance theory to real world financial markets, this book offers a wealth of insights and guidance in practical applications. It contains applications that are broader in scope from what is...

14. 

Bias and Causation: Models and Judgment for Valid Comparisons

Bias and Causation: Models and Judgment for Valid Comparisons

By: 

Publisher: John Wiley & Sons

Publication Date: 07-SEP-2010

Insert Date: 05-NOV-2013

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A one-of-a-kind resource on identifying and dealing with bias in statistical research on causal effects Do cell phones cause cancer? Can a new curriculum increase student achievement? Determining what the real causes of such problems are, and how powerful their effects may be, are central issues in research across various fields of study. Some researchers are highly skeptical of drawing causal conclusions except in tightly controlled randomized experiments, while others discount the threats posed by different sources of bias, even in less rigorous observational studies. Bias and...

15. 

New Cambridge Statistical Tables, Second Edition

New Cambridge Statistical Tables, Second Edition

By: Dennis V. Lindley; William F. Scott

Publisher: Cambridge University Press

Publication Date: 03-AUG-1995

Insert Date: 05-NOV-2013

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The latest edition of this very successful and authoritative set of tables still benefits from clear typesetting, which makes the figures easy to read and use. It has, however, been improved by the addition of new tables that provide Bayesian confidence limits for the binomial and Poisson distributions, and for the square of the multiple correlation coefficient, which have not been previously available. The intervals are the shortest possible, consistent with the requirement on probability. Great care has been taken to ensure that it is clear just what is being tabulated and how the values...

16. 

Understanding Probability, Third Edition

Understanding Probability, Third Edition

By: Henk Tijms

Publisher: Cambridge University Press

Publication Date: 14-JUN-2012

Insert Date: 05-NOV-2013

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Understanding Probability is a unique and stimulating approach to a first course in probability. The first part of the book demystifies probability and uses many wonderful probability applications from everyday life to help the reader develop a feel for probabilities. The second part, covering a wide range of topics, teaches clearly and simply the basics of probability. This fully revised third edition has been packed with even more exercises and examples and it includes new sections on Bayesian inference, Markov chain Monte-Carlo simulation, hitting probabilities in random walks and...

17. 

Dicing with Death

Dicing with Death

By: Stephen Senn

Publisher: Cambridge University Press

Publication Date: 20-NOV-2003

Insert Date: 05-NOV-2013

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If you think that statistics has nothing to say about what you do or how you could do it better, then you are either wrong or in need of a more interesting job. Stephen Senn explains here how statistics determines many decisions about medical care, from allocating resources for health, to determining which drugs to license, to cause-and-effect in relation to disease. He tackles big themes: clinical trials and the development of medicines, life tables, vaccines and their risks or lack of them, smoking and lung cancer and even the power of prayer. He entertains with puzzles and paradoxes and...

18. 

Large-Scale Inference

Large-Scale Inference

By: Bradley Efron

Publisher: Cambridge University Press

Publication Date: 05-AUG-2010

Insert Date: 05-NOV-2013

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We live in a new age for statistical inference, where modern scientific technology such as microarrays and fMRI machines routinely produce thousands and sometimes millions of parallel data sets, each with its own estimation or testing problem. Doing thousands of problems at once is more than repeated application of classical methods. Taking an empirical Bayes approach, Bradley Efron, inventor of the bootstrap, shows how information accrues across problems in a way that combines Bayesian and frequentist ideas. Estimation, testing and prediction blend in this framework, producing...

19. 

Chi-Squared Goodness of Fit Tests with Applications

Chi-Squared Goodness of Fit Tests with Applications

By: N. Balakrishnan; Vassilly Voinov; M.S Nikulin

Publisher: Academic Press

Publication Date: 25-JAN-2013

Insert Date: 01-NOV-2013

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Chi-Squared Goodness of Fit Tests with Applications provides a thorough and complete context for the theoretical basis and implementation of Pearson’s monumental contribution and its wide applicability for chi-squared goodness of fit tests. The book is ideal for researchers and scientists conducting statistical analysis in processing of experimental data as well as to students and practitioners with a good mathematical background who use statistical methods. The historical context, especially Chapter 7, provides great insight into importance of this subject with an authoritative author...

20. 

Handbook of Statistics

Handbook of Statistics

By: C.R. Rao; Venu Govindaraju

Publisher: North Holland

Publication Date: 16-MAY-2013

Insert Date: 31-OCT-2013

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Statistical learning and analysis techniques have become extremely important today, given the tremendous growth in the size of heterogeneous data collections and the ability to process it even from physically distant locations. Recent advances made in the field of machine learning provide a strong framework for robust learning from the diverse corpora and continue to impact a variety of research problems across multiple scientific disciplines. The aim of this handbook is to familiarize beginners as well as experts with some of the recent techniques in this field. The Handbook is...