Computational Statistics and Data Analysis, Special Issue on
STATISTICAL SIGNAL EXTRACTION AND FILTERING
http://www.elsevier.com/locate/csda
The need to extract signals and other components from time series is a
requirement in many empirical sciences, including Medicine,
Engineering, Economics and Climatology, to name but a few. Nowadays, a
wide variety of methods are available, including Wiener--Kolmogorov
Filtering, Kalman Filtering, Principal Components Analysis, and
Wavelet Analysis. Some of the methods have been conceived in the time
domain and others have originated in the frequency domain. A few of
the methods may be interpreted equally in both domains. The majority
demand skilful use of the computer for their successful
implementation.
Give the variety of the available methods of Statistical Signal
Extraction and Filtering, and given the diversity of the subject areas
in which they are applied, there are plentiful opportunities for cross
fertilisation and technology transfer. We therefore invite submissions
for a special issue of Computational Statistics & Data Analysis
devoted this topic. We will consider papers addressing the use of
computational and numerical methods for solving theoretical and
practical issues associated with filtering and signal extraction
algorithms, the impact of the techniques on the relevant subject
areas, and specific applications involving computing and data
analysis.
The papers submitted to the special issue should contain both
computational and substantive (i.e. subject area) components. Authors
who are uncertain of the suitability of their papers for the special
issue should contact the special issue editors. All papers submitted
must contain original unpublished work that is not being submitted for
publication elsewhere. Manuscripts submitted to this special issue
will be refereed according to standard procedures for Computational
Statistics and Data Analysis. The journal is also interested in
receiving submissions in the broader areas of time-series analysis,
which might be considered for inclusion in the special issue or in
regular issues. Information about the journal can be found at
http://www.elsevier.com/locate/csda
The DEADLINE for submissions is January 31, 2004.
The editorial process is expected to proceed rapidly thereafter
Submission electronically is encouraged. Please e-mail a postscript
or PDF file of your manuscript to one of the special issue editors:
Stephen Pollock
Department of Economics
Queen Mary College
University of London
Mile End Road
London E1 4NS
U.K.
Email: [log in to unmask]
Peter C. Young,
Environmental Science
Lancaster University
Lancaster LA1 4YF
U.K.
Email [log in to unmask]
{___________________________________________________________}
HOME:
Stephen Pollock
12, Gladsmuir Road
London N19 3JX
Tel: +44-(0)20-7272-1023
Email: [log in to unmask]
WORK:
D.S.G. Pollock
Department of Economics
Queen Mary College
Mile End Road
London E1 4NS
Tel: +44-(0)20-7882-5095
Fax:+44-(0)20-8983-3580
Email: [log in to unmask]
Website: http://www.qmw.ac.uk/~ugte133/
