The theme of this chapter is statistical methods in imaging, with a marked emphasis on the Bayesian perspective.The application of statistical notions and techniques in imaging requires that images and the available data are redefined in terms of random variables, the genesis and interpretation of randomness playing a major role in deciding whether the approach will be along frequentist or Baye...

2 Random Variable Generation 5 2.1 Basic Methods . . . . . . . . . . . . . . . . . . . . . . . . . . . 5 2.1.1 Congruential Generators . . . . . . . . . . . . . . . . . 6 2.1.2 The Kiss Generator . . . . . . . . . . . . . . . . . . . . 8 2.1.3 Beyond Uniform Distributions . . . . . . . . . . . . . . 10 2.2 Transformation methods . . . . . . . . . . . . . . . . . . . . . 11 2.3 Accept-Reject Met...

Proteomics technologies are rapidly evolving and attracting great attention in the post-genome era. In this chapter, we review two key applications of proteomics techniques: disease biomarker discovery and protein/peptide identification. For each of the applications, we will state the major issues related to statistical modeling and analysis, review related work, discuss their strength and weak...

the discharge of elderly patients. This has increased the turnover and shortened the length of stay without an increase in transfer of patients to the geriatric unit. This book is a useful summary of an important problem and will be of interest to physicians in both general and geriatric medicine. RWS THE first edition of this book was published in 1959 and reprinted on ten occasions from then ...

Today’s courses in statistical methods, for the most part, focus on the same methods that were taught 30 years ago. The actual practice of statistics has moved beyond these traditional statistical methods. Modern methods including dynamic graphics, nonlinear estimation, resampling and other simulation based inference methods are being used by many scientists and engineers. However, these method...

In recent years, a very large variety of statistical methodologies, at various levels of complexity, have been put forward to analyse genotype data and detect genetic variations that may be responsible for increasing the susceptibility to disease. This review provides a concise account of a number of selected statistical methods for population-based association mapping, from single-marker tests...