Complex Models and Computational Methods in Statistics
Download or Read eBook Complex Models and Computational Methods in Statistics PDF written by Matteo Grigoletto and published by Springer Science & Business Media. This book was released on 2013-01-26 with total page 228 pages. Available in PDF, EPUB and Kindle.
| Author | : Matteo Grigoletto |
| Publisher | : Springer Science & Business Media |
| Total Pages | : 228 |
| Release | : 2013-01-26 |
| ISBN-10 | : 9788847028715 |
| ISBN-13 | : 884702871X |
| Rating | : 4/5 (15 Downloads) |
Book Synopsis Complex Models and Computational Methods in Statistics by : Matteo Grigoletto
Book excerpt: The use of computational methods in statistics to face complex problems and highly dimensional data, as well as the widespread availability of computer technology, is no news. The range of applications, instead, is unprecedented. As often occurs, new and complex data types require new strategies, demanding for the development of novel statistical methods and suggesting stimulating mathematical problems. This book is addressed to researchers working at the forefront of the statistical analysis of complex systems and using computationally intensive statistical methods.
