PASCAL - Pattern Analysis, Statistical Modelling and Computational Learning

Proceedings of ESTSP 2007
Amaury Lendasse, ed. (2007) Helsinki University of Technology , Espoo, Finland . ISBN 978-951-22-8601-0

Abstract

Time series forecasting is a challenge in many fields. In finance, experts forecast stock exchange courses or stock market indices; data processing specialists forecast the flow of information on their networks; producers of electricity forecast the load of the following day. The common point to their problems is the following: how can one analyze and use the past to predict the future? The European Symposium on Time Series Prediction (ESTSP’07) is a new event in the fields of neural networks, statistics and econometrics. It is held on 7-9 February 2007 in Espoo (Helsinki), one of the most innovative towns in Europe. ESTSP’07 is a unique opportunity for researcher from statistics, neural networks, machine learning, control and econometrics to share their knowledge in the field of Time Series Prediction. Forty-six papers have been submitted to ESTSP’07 and reviewed. The best thirty-two papers have been accepted. All the presentation will be oral. The selection was difficult due to the high scientific quality of the submitted papers. We would like to thank all members of the scientific committee of ESTSP07 for their appreciated work in the reviewing process; they were helped by many colleagues, most of them remaining anonymous, and we associate them in our grateful thanks.

EPrint Type:Book
Project Keyword:Project Keyword UNSPECIFIED
Subjects:Computational, Information-Theoretic Learning with Statistics
Learning/Statistics & Optimisation
Theory & Algorithms
ID Code:3740
Deposited By:Amaury Lendasse
Deposited On:15 February 2008