Posted by **insetes** at Oct. 13, 2017

2015 | 168 Pages | ISBN: 178398760X | EPUB | 3 MB

Posted by **Landau17** at Oct. 14, 2017

MP4 | Video: 540p | Duration: 3:17:59 | English | Subtitles: VTT | 1568.4 MB

Posted by **libr** at Oct. 7, 2017

English | ISBN: 0521764548 | edition 2010 | PDF | 248 pages | 1.8 mb

Posted by **readerXXI** at Oct. 6, 2017

English | 2015 | ISBN: 178398760X | 168 Pages | Mobi+Code Files | 6.5 MB

Posted by **AvaxGenius** at Oct. 5, 2017

English | PDF | 2017 | 51 Pages | ISBN : 9811067805 | 1.61 MB

This book provides a short and concise introduction to Bayesian optimization specifically for experimental and computational materials scientists. After explaining the basic idea behind Bayesian optimization and some applications to materials science in Chapter 1, the mathematical theory of Bayesian optimization is outlined in Chapter 2.

Posted by **AvaxGenius** at Sept. 6, 2017

English | PDF | 2017 | 287 Pages | ISBN : 3319542737 | 6.58 MB

In this book, we provide an easy introduction to Bayesian inference using MCMC techniques, making most topics intuitively reasonable and deriving to appendixes the more complicated matters. The biologist or the agricultural researcher does not normally have a background in Bayesian statistics, having difficulties in following the technical books introducing Bayesian techniques.

Posted by **Grev27** at Aug. 29, 2017

English | ISBN: 1107192110, 1316642216 | 2017 | EPUB | 304 pages | 6,7 MB

Posted by **Grev27** at Aug. 29, 2017

English | ISBN: 1107133084 | 2017 | EPUB | 408 pages | 6,4 MB

Posted by **Underaglassmoon** at Aug. 14, 2017

Cambridge | English | July 2017 | ISBN-10: 0521878268 | 656 pages | PDF | 9.67 mb

by Subhashis Ghosal (Author), Aad van der Vaart (Author)

Posted by **leonardo78** at Aug. 1, 2017

Language: English | 2006 | ISBN: 0198568320 | 264 pages | PDF | 5,85 MB

Statistics lectures have been a source of much bewilderment and frustration for generations of students. This book attempts to remedy the situation by expounding a logical and unified approach to the whole subject of data analysis.