Posted by **ChrisRedfield** at Nov. 21, 2017

Published: 2013-10-29 | ISBN: 1461486866, 1493950495 | PDF | 296 pages | 7.42 MB

Posted by **exLib** at Nov. 4, 2017

ITexLi | 2017 | ISBN: 9535135783 9535135775 9789535135777 9789535135784 | 356 pages | PDF | 19 MB

This book takes a look at both theoretical foundations of Bayesian inference and practical implementations in different fields. It is intended as an introductory guide for the application of Bayesian inference in the fields of life sciences, engineering, and economics, as well as a source document of fundamentals for intermediate Bayesian readers

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

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

Posted by **Landau17** at Oct. 11, 2017

MP4 | Video: 720p | Duration: 2:24:40 | English | Subtitles: VTT | 265.8 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 **libr** at Jan. 8, 2017

English | 2011 | ISBN-10: 1439839549 | 364 pages | PDF | 10,4 MB

Posted by **roxul** at May 9, 2016

English | 2011 | ISBN-10: 1439839549 | 364 pages | PDF | 10,4 MB

Posted by **libr** at May 8, 2016

English | 2011 | ISBN-10: 1439839549 | 364 pages | PDF | 10,4 MB