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 |
| Publication date: | 27th May 2020 |
| Author: | Arni SR Srinivasa Rao, CR Rao |
| Publisher: | North Holland an imprint of Elsevier Science |
| Format: | Hardback |
| Pagination: | 496 pages |
| Series: | Handbook of Statistics |
| Genres: |
Stochastics |
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.
Principles and Methods for Data Science features in the following genres: Stochastics
Hardback. Not Available.
Principles and Methods for Data Science was written by Arni SR Srinivasa Rao, CR Rao and published by North Holland an imprint of Elsevier Science
Principles and Methods for Data Science has 496 pages
Yes it is part of Handbook of Statistics series