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 Robust Statistics (Wiley Series in Probability and Statistics)
A new edition of the classic, groundbreaking book on robust statistics
Over twenty-five years after the publication of its predecessor, Robust Statistics, Second Edition continues to provide an authoritative and systematic treatment of the topic. This new edition has been thoroughly updated and expanded to reflect the latest... |  |  Human Recognition at a Distance in Video (Advances in Pattern Recognition)
Most biometric systems employed for human recognition require physical contact with, or close proximity to, a cooperative subject. Far more challenging is the ability to reliably recognize individuals at a distance, when viewed from an arbitrary angle under real-world environmental conditions. Gait and face data are the two biometrics that... |  |  Optimisation in Signal and Image Processing
This book describes the optimization methods most commonly encountered in signal and image processing: artificial evolution and Parisian approach; wavelets and fractals; information criteria; training and quadratic programming; Bayesian formalism; probabilistic modeling; Markovian approach; hidden Markov models; and metaheuristics (genetic... |
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 Diagrammatic Reasoning in AI
This book is really the end product of over a decade of work, on and off, on
diagrammatic reasoning in artificial intelligence (AI). In developing this book, I
drew inspiration from a variety of sources: two experimental studies, the development
of two prototype systems, an extensive literature review and analysis in
AI,... |  |  Think Stats
If you know how to program, you have the skills to turn data into knowledge using the tools of probability and statistics. This concise introduction shows you how to perform statistical analysis computationally, rather than mathematically, with programs written in Python.
You'll work with a case study throughout the... |  |  Statistical Bioinformatics: with R
Bioinformatics is an emerging field in which statistical and computational techniques
are used extensively to analyze and interpret biological data obtained
from high-throughput genomic technologies. Genomic technologies allow us
to monitor thousands of biological processes going on inside living organisms
in one snapshot, and are... |
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 |  |  |  |  Theory of Optimal Search
This book deals with the problem of optimal allocation of effort to detect a
target. A Bayesian approach is taken in which it is assumed that there is a
prior distribution for the target's location which is known to the searcher as
well as a function which relates the conditional probability of detecting... |
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 |  |  Bayesian Reasoning and Machine Learning
We live in a world that is rich in data, ever increasing in scale. This data comes from many dierent
sources in science (bioinformatics, astronomy, physics, environmental monitoring) and commerce (customer
databases, nancial transactions, engine monitoring, speech recognition, surveillance, search). Possessing
the knowledge as to... |  |  An Introduction to Game Theory
Game-theoretic reasoning pervades economic theory and is used widely in other social and behavioral sciences. An Introduction to Game Theory, by Martin J. Osborne, presents the main principles of game theory and shows how they can be used to understand economic, social, political, and biological phenomena. The book introduces in an... |
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