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This book is a selection of peer-reviewed contributions presented at the third Bayesian Young Statisticians Meeting, BAYSM 2016,... Læs mere
This book provides state-of-the-art and interdisciplinary topics on solving matrix eigenvalue problems, particularly by using recent petascale and upcoming post-petascale supercomputers.
For the Fellowship I proposed these two topics as areas in which the academic statistics could contribute... Læs mere
Through this book, researchers and students will learn to use R for analysis of large-scale genomic data and how to create routines to automate analytical steps.
When finished, you will be able to use R in conjunction with Stata, or separately, to import data, manage and transform it, create publication quality graphics, and perform basic... Læs mere
“Over 170 figures are included in the book. … the material covered in the book is self-contained … . The balanced mix of real data examples, modeling software, and... Læs mere
"Hands-on MATLAB training and exercises"--Cover.
Essentials of Monte Carlo Simulation focuses on the fundamentals of Monte Carlo methods using basic computer... Læs mere
The techniques and methods presented for knowledge elicitation, model construction and verification, modeling techniques and... Læs mere