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