Series: Handbook of Computing and Statistics with Applications

Elsevier is pleased to announce the addition of a new series of high quality volumes of works entitled the Handbook of Computing and Statistics with Applications. This series will focus on all computational aspects of Statistics which make use, directly or indirectly, on computing and have a major impact on statistical techniques and methods of data analysis. Applications of computational statistics in such diverse disciplines as economics, medicine and epidemiology, biology, finance, physics, chemistry, climatology and communications will all be strongly represented.

The audience of this series will consist of computational statisticians (university, government, business, industry) and statistical software users as well as anyone interested in the area of advanced computational and numerical methods in Statistics.

Examples of anticipated contributions are:
Latent Variable and Related Models
Computational Econometrics
The Fuzzy Approach to Statistical Analysis
Statistical Algorithms and Software
Matrices and Statistics
Nonlinear Time Series & Financial Econometrics
Statistics for Functional Data
Optimization Heuristics to Estimation and modelling problems
Machine Learning and Robust Data Mining
Mixture Models
Statistical Signal Extraction and Filtering
Computer-Intensive Methods for Dependent Data
High performance computing and Statistics

Book Series: Handbook of Latent Variable and Related Models

Most recent volume


Volume 1. Handbook of Latent Variable and Related Models

Published: 8th February 2007 Series Volume Editor: Sik-Yum Lee
This Handbook covers latent variable models, which are a flexible class of models for modeling multivariate data to explore relationships among observed and latent variables.