The Science of Knowledge: With The First And Second Introductions

Since the publication of the popular first edition, genomic methods have become more accessible, allowing antibiotic researchers to probe not only the sequence of antibiotic resistance determinants but the mechanism whereby they are expressed and regulated. That, in concert with array technology and an understanding of the importance of biofilms, has greatly expanded antibiotic resistance knowledge. In order to reflect the growing field, Antibiotic Resistance Protocols, Second Edition fully updates and builds upon its first edition with contributions from leading researchers.

The only single-source——now completely updated and revised——to offer a unified treatment of the theory, methodology, and applications of the EM algorithm
omplete with updates that capture developments from the past decade, The EM Algorithm and Extensions, Second Edition successfully provides a basic understanding of the EM algorithm by describing its inception, implementation, and applicability in numerous statistical contexts. In conjunction with the fundamentals of the topic, the authors discuss convergence issues and computation of standard errors, and, in addition, unveil many parallels and connections between the EM algorithm and Markov chain Monte Carlo algorithms. Thorough discussions on the complexities and drawbacks that arise from the basic EM algorithm, such as slow convergence and lack of an in-built procedure to compute the covariance matrix of parameter estimates, are also presented.

by Richard G. Schwartz (Editor)