The two parts of this book treat probability and statistics as mathematical disciplines and with the same degree of rigour as is adopted for other branches of applied mathematics at the level of a British honours degree. They contain the minimum information about these subjects that any honours graduate in mathematics ought to know. They are...
An MBA is a curious beast: it can accelerate your career, even if it has limited
practical value in day-to-day management.
Top employers hire top MBAs, but not because MBAs have mastered the
mysteries of management. An MBA is a hallmark of personal commitment,
effort, and ambition which...
This textbook is of an interdisciplinary nature and is designed for a two- or one-semester course in
probability and statistics, with basic calculus as a prerequisite. The book is primarily written to give
a sound theoretical introduction to statistics while emphasizing applications. If teaching statistics
is the main purpose of a...
"Classic Problems of Probability" is the winner of the 2012 PROSE Award for Mathematics from The American Publishers Awards for Professional and Scholarly Excellence.
"A great book, one that I will certainly add to my personal library." --Paul J. Nahin, Professor Emeritus of Electrical...
Brain and mind continue to be a topic of enormous scientific interest. With the recent advances in measuring instruments such as two-photon laser scanning microscopy and fMRI, the neuronal connectivity and circuitry of how the brain's various regions are hierarchically interconnected and organized are better understood now than ever...
Continuing advances in biomedical research and statistical methods call for a constant stream of updated, cohesive accounts of new developments so that the methodologies can be properly implemented in the biomedical field. Responding to this need, Computational Methods in Biomedical Research explores important current and emerging...
Machine Learning:Discriminative and Generative covers the main contemporary themes and tools in machine learning ranging from Bayesian probabilistic models to discriminative support-vector machines. However, unlike previous books that only discuss these rather different approaches in isolation, it bridges the two...
For the first time, eleven experts in the fields of signal processing and biomedical engineering have contributed to an edition on the newest theories and applications of fuzzy logic, neural networks, and algorithms in biomedicine. Nonlinear Biomedical Signal Processing, Volume I provides comprehensive coverage of nonlinear signal...
Our collaboration on the research area, strategic cooperative game theory
with asymmetric information, started around the spring of 2000, and
progressed substantially from July 2001 through September 2002 when Ichiishi
was visiting Hitotsubashi University (Yamazaki's affiliation). Through
innumerable discussions during this...
The papers in this volume are the refereed papers presented at AI-2010, the Thirtieth SGAI International Conference on Innovative Techniques and Applications of Artificial Intelligence, held in Cambridge in December 2010 in both the technical and the application streams. They present new and innovative developments and applications, divided...
A new edition of the definitive guide to logistic regression modeling for health science and other applications
This thoroughly expanded Third Edition provides an easily accessible introduction to the logistic regression (LR) model and highlights the power of this model by examining the relationship...
This symposium was born as a research forum to present and discuss original, rigorous and significant contributions on Artificial Intelligence-based (AI) solutions—with a strong, practical logic and, preferably, with empirical applications—developed to aid the management of organizations in multiple areas, activities, processes...
