Grant: Discovery Grants Program - Individual
Université du Québec à Montréal
$14,000.00
Cyclic data and planar ordinary differential equations: statistical modeling and inference
EF 2010-11
Résumé
The present program is on solving a broad question, which is to estimate parameters of solutions to ODEs (ordinary differential equations) that occur in biostatistical applications and have cyclic solutions. We start with ecology, and the emphasis is on predator-prey interactions; in practice, many animal populations exhibit oscillatory behaviour. Therefore, in their models, ecologists are considering systems that admit limit cycles or spiral to an equilibrium. In our proposal we introduce a simple method for estimating elements that are put forward by the qualitative analysis of the ODE system, like isoclines, e.g. The method works whenever periodicity is present. Once the estimation is performed, one can test various models as well. The originality of the present program is to work in the phase plane, and the methodology is an extension of the one developed in Froda & Colavita (2005) and Froda & Nkurunziza (2006).
From the applied point of view, various areas of ecological research are concerned by this proposal. At first, we consider the choice of an appropriate predator-prey model at one geographical site. Later, we should be able to extend our methodology and fit predator-prey models in metapopulations, i.e. when the habitat is fragmented (e.g. after habitat destruction). Understanding the impact of habitat destruction on animal behaviour is extremely important in conservation biology.
It is to be noted that our method allows to discriminate among alternative models, a problem which is debated among ecologists, and is central to the field.
Finally, in the long run, other fields of application can be considered, like the study of epidemic models.
Programme
Discovery Grants Program - Individual
Bénéficiaire
Emplacement
Quebec, Canada
Type de bénéficiaire
Academia
Type
Grant
Source
NSERC's Awards Data
Tel que publié
Application id
36526-2007
Name nom
Froda, Sorana
Department département
Mathématiques
Organization id
57
Institution établissement
Université du Québec à Montréal
Province en
Québec
Province fr
Québec
Country en
CANADA
Country fr
CANADA
Fiscal year exercice financier
2010
Competition year année de concours
2007
Award amount
14000
Program id
RGPIN
Program name en
Discovery Grants Program - Individual
Program name fr
Programme de subventions à la découverte - individuelles
Group en
Discovery grants programs
Group fr
Programmes de subventions à la découverte
Committee code
14
Committee name en
Statistical Sciences
Committee name fr
Statistique
Area of application code
1200
Area of application group en
Advancement of knowledge
Area of application group fr
Avancement des connaissances
Area of application en
Advancement of knowledge
Area of application fr
Avancement des connaissances
Research subject code
3005
Research subject group en
Statistics and probability
Research subject group fr
Statistique et probabilité
Research subject en
Biostatistics
Research subject fr
Biostatistiques
Partie
4
Nb partie
5
Application title
Cyclic data and planar ordinary differential equations: statistical modeling and inference
Keyword
NSERC
Application summary
The present program is on solving a broad question, which is to estimate parameters of solutions to ODEs (ordinary differential equations) that occur in biostatistical applications and have cyclic solutions. We start with ecology, and the emphasis is on predator-prey interactions; in practice, many animal populations exhibit oscillatory behaviour. Therefore, in their models, ecologists are considering systems that admit limit cycles or spiral to an equilibrium. In our proposal we introduce a simple method for estimating elements that are put forward by the qualitative analysis of the ODE system, like isoclines, e.g. The method works whenever periodicity is present. Once the estimation is performed, one can test various models as well. The originality of the present program is to work in the phase plane, and the methodology is an extension of the one developed in Froda & Colavita (2005) and Froda & Nkurunziza (2006).
From the applied point of view, various areas of ecological research are concerned by this proposal. At first, we consider the choice of an appropriate predator-prey model at one geographical site. Later, we should be able to extend our methodology and fit predator-prey models in metapopulations, i.e. when the habitat is fragmented (e.g. after habitat destruction). Understanding the impact of habitat destruction on animal behaviour is extremely important in conservation biology.
It is to be noted that our method allows to discriminate among alternative models, a problem which is debated among ecologists, and is central to the field.
Finally, in the long run, other fields of application can be considered, like the study of epidemic models.