Number of the records: 1
Spatio-temporal point process filtering methods with an application
- 1.
SYSNO ASEP 0437986 Document Type J - Journal Article R&D Document Type The record was not marked in the RIV Subsidiary J Článek ve WOS Title Spatio-temporal point process filtering methods with an application Author(s) Frcalová, B. (CZ)
Beneš, V. (CZ)
Klement, Daniel (FGU-C) RIDSource Title Environmetrics - ISSN 1180-4009
Roč. 21, 3-4 (2010), s. 240-252Number of pages 13 s. Language eng - English Country GB - United Kingdom Keywords cox point process ; filtering ; spatio-temporal modelling ; spike Subject RIV BA - General Mathematics R&D Projects IAA101120604 GA AV ČR - Academy of Sciences of the Czech Republic (AV ČR) CEZ AV0Z50110509 - FGU-C (2005-2011) UT WOS 000278340000003 EID SCOPUS 77952396378 DOI 10.1002/env.1010 Annotation The paper deals with point processes in space and time and the problem of filtering. Real data monitoring the spiking activity of a place cell of hippocampus of a rat moving in an environment are evaluated. Two approaches to the modelling and methodology are discussed. The first one (known from literature) is based on recursive equations which enable to describe an adaptive system. Sequential Monte Carlo methods including particle filter algorithm are available for the solution. The second approach makes use of a continuous time shot-noise Cox point process model. The inference of the driving intensity leads to a nonlinear filtering problem. Parametric models support the solution by means of the Bayesian Markov chain Monte Carlo methods, moreover the Cox model enables to detect adaptivness. Model selection is discussed, numerical results are presented and interpreted Workplace Institute of Physiology Contact Lucie Trajhanová, lucie.trajhanova@fgu.cas.cz, Tel.: 241 062 400 Year of Publishing 2015
Number of the records: 1