Workshop on non-linear time series

[Ron Meir]

* APOLOGIES TO MULTIPLE RECIPIENTS OF THIS MESSAGE

A workshop titled ``Non-linear Time Series for Learning, Prediction and
Control'' will be held at the Technion, Israel, between June 29 and July 2
1998. The main thrust of the workshop will be the presentation of current
research on the rapidly evolving field of non-linear models for time
series, with applications in machine learning, prediction, filtering and
control. The workshop will consist of 30-45 minute talks by several
invited speakers from Israel and abroad (see list below), as well as
several contributed half hour talks.  The workshop will provide both
faculty and students with a unique opportunity to be introduced to the
field of non-linear time series modeling, and to discuss their research
interests with some of the leading people in the field. 

The invited speakers in the workshop come from a variety of disciplines
including: Statistics, Econometrics, Information Theory, Dynamical
Systems, Physics and Machine learning; the main intention being to achieve
a truly inter-disciplinary workshop.  All invited speakers have been asked
to provide a short introduction to their respective field. 

People interested in attending the workshop are requested to send an
e-mail message to this effect to either Dr. Ron Meir
(rmeir at dumbo.technion.ac.il) or to Dr. Hava Siegelman
(iehava at ie.technion.ac.il), as soon as possible, as the number of
participants is restricted for reasons of space.  No resgistration fee
will be required. 

============================================================================

	    Research Workshop of the Israel Science Foundation 
	Non-linear Time Series for Learning, Prediction and Control
			June 29 - July 2 1998
			   Technion, Israel
	http://www-ee.technion.ac.il/~rmeir/WORKSHOP/conference.html 
  	http://www-ee.technion.ac.il/~rmeir/WORKSHOP/schedule.html 

Organizing Committee: Ron Meir, Robert Adler, Yoram Baram, Offer Lieberman,
		      Hava Siegelman, Naftali Tishby. 

Invited Speakers:

Feder, M.	Universal prediction with finite memory.
Glass, L.	Control of complex rhythms in medicine. 
Granger C.	(1) A general introduction to non-linear time series.
		(2) Co-monotone processes.
Kanter, I.	Analytical study of time series prediction by feedforward 
		networks. 
Lo J.		Neural filtering.
Merhav, N.	Universal prediction for indexed classes of sources. 
Opper, M.	Worst case analysis for individual sequences. 
Ott, E.		Controlling chaos using unstable periodic orbits. 
Masry, E.	Additive nonlinear time series.
Nobel, A.	Nonparametric estimation from ergodic processes. 
Priestley, M.	Time-frequency decomposition via wavelet analysis.
Robinson, P.	Long memory conditionally heteroscedastic errors in
		semiparametric estimation of long memory. 
Sjoberg, J.	Nonlinear black-box modeling in signal processing. 
Tong, H. 	Testing for common structure in a panel of threshold models.
Weigend, A.	Title to be announced. 
Zakai, M.	Nonlinear filtering. 
Zeitouni, O.    On the memory length of optimal nonlinear estimation of Markovian processes


Financial Support 

Israel Science Foundation, Institute for Advanced Studies in Mathematics at the 
Technion, Departments of Electrical Engineering and Industrial Engineering and 
Management at the Technion.