Advancements in Bayesian Methods and Implementations
175,99 €
inkl. MwSt.
Versandkostenfrei*
Versandfertig in 6-10 Tagen
payback
88 °P sammeln
  • Gebundenes Buch

Advancements in Bayesian Methods and Implementation, Volume 47 in the Handbook of Statistics series, highlights new advances in the field, with this new volume presenting interesting chapters on a variety of timely topics, including Fisher Information, Cramer-Rao and Bayesian Paradigm, Compound beta binomial distribution functions, MCMC for GLMMS, Signal Processing and Bayesian, Mathematical theory of Bayesian statistics where all models are wrong, Machine Learning and Bayesian, Non-parametric Bayes, Bayesian testing, and Data Analysis with humans, Variational inference or Functional horseshoe, Generalized Bayes.…mehr

Andere Kunden interessierten sich auch für
Produktbeschreibung
Advancements in Bayesian Methods and Implementation, Volume 47 in the Handbook of Statistics series, highlights new advances in the field, with this new volume presenting interesting chapters on a variety of timely topics, including Fisher Information, Cramer-Rao and Bayesian Paradigm, Compound beta binomial distribution functions, MCMC for GLMMS, Signal Processing and Bayesian, Mathematical theory of Bayesian statistics where all models are wrong, Machine Learning and Bayesian, Non-parametric Bayes, Bayesian testing, and Data Analysis with humans, Variational inference or Functional horseshoe, Generalized Bayes.
Autorenporträt
Alastair Young works at Imperial College London, UK
Arni S.R. Srinivasa Rao works in pure mathematics, applied mathematics, probability, artificial

intelligence and applications in medicine. He had edited these handbooks jointly with renowned statistician Dr. C. R. Rao. He is a Professor at the Medical College of Georgia,

Augusta University, U.S.A., and the Director of the Laboratory for Theory and Mathematical

Modeling housed within the Division of Infectious Diseases, Medical College of Georgia, Augusta,

U.S.A. Previously, Dr. Rao conducted research and/or taught at the Mathematical Institute, University of Oxford (2003, 2005-07), Indian Statistical Institute (1998-2002, 2006-2012), Indian Institute of Science (2002-04), University of Guelph (2004-06). Until 2012, Dr. Rao held a permanent faculty position at the Indian Statistical Institute. He has won the Heiwa-Nakajima Award (Japan) and Fast Track Young Scientists Fellowship in Mathematical Sciences (DST, New Delhi). Dr. Rao also proved a major theorem in stationary population models, such as, Rao's Partition Theorem in

Populations, Rao-Carey Theorem in stationary populations, and developed mathematical

modeling-based policies for the spread of diseases like HIV, H5N1, COVID-19, etc. He developed

a new set of network models for understanding avian pathogen biology on grid graphs (these were

called chicken walk models), AI Models for COVID-19, and received wide coverage in the science

media. Dr. Rao is an elected Fellow of ISMMACS (Indian Society for Mathematical Modeling and

Computer Simulation), and ISPS (Indian Society for Probability and Statistics). He developed

concepts such as "Exact Deep Learning Machines?, and "Multilevel Contours within a bundle of Complex Number Planes?.