Statistical models

Markov chain Monte Carlo in practice

by Gilks, W. R., (Walter R.), Richardson, S., (Sylvia), Spiegelhalter, D. J.

fromInterdisciplinary statistics

0 Type: Book

This book draws together contributions from authorities in the field and fills the urgent need to communicate the state of the art to a general statistical audience. Emphasis is placed on practice rather than theory, although fundamental theoretical concepts are discussed. The i…

Genome assembly is the process of merging fragments of DNA sequences produced by shotgun sequencing in order to reconstruct the original genome. It is complicated by repeated regions in genomes, sequencing errors, and experimental biases. Here we focus on our efforts to confront…

We propose a model particularly suitable for modeling the relationship between a dependent variable and a vector of independent variables. Binary response variable and categorical data are of a specific interest in this research. I -projection problems arise in wide variety of p…