Principles and Methods for Data Science
CR Rao editor Arni SR Srinivasa Rao editor
Format:Hardback
Publisher:Elsevier Science & Technology
Published:27th May '20
Currently unavailable, and unfortunately no date known when it will be back
Principles and Methods for Data Science, Volume 43 in the Handbook of Statistics series, highlights new advances in the field, with this updated volume presenting interesting and timely topics, including Competing risks, aims and methods, Data analysis and mining of microbial community dynamics, Support Vector Machines, a robust prediction method with applications in bioinformatics, Bayesian Model Selection for Data with High Dimension, High dimensional statistical inference: theoretical development to data analytics, Big data challenges in genomics, Analysis of microarray gene expression data using information theory and stochastic algorithm, Hybrid Models, Markov Chain Monte Carlo Methods: Theory and Practice, and more.
ISBN: 9780444642110
Dimensions: unknown
Weight: 980g
496 pages