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
Handbook of Latent Variable and Related Models

Most recent volume

Volume 1. Handbook of Latent Variable and Related Models

Published: 8th February 2007
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.