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This book on statistical disclosure control presents the theory, applications and software implementation of the traditional... Læs mere
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
The basics of computer algebra and the language of Mathematica are described in this textbook, leading towards an understanding of Mathematica that allows the reader to solve problems in physics, mathematics, and chemistry.
????Describing novel mathematical concepts for recommendation engines, Realtime Data Mining: Self-Learning Techniques for... Læs mere
This textbook teaches crucial statistical methods to answer research questions using a unique range of statistical software programs,... Læs mere
This Festschrift in honour of Paul Deheuvels’ 65th birthday compiles recent research results in the area between mathematical statistics and probability theory with a special emphasis on limit theorems.
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.
This book reviews nonparametric Bayesian methods and models that have proven useful in the context of data analysis. In selecting specific nonparametric models, simpler and more traditional models are favored over specialized ones.