Parameter estimation for a discrete time model driven by fractional Poisson process

2021 ◽  
pp. 1-26
Author(s):  
Héctor Araya ◽  
Natalia Bahamonde ◽  
Tania Roa ◽  
Soledad Torres
Keyword(s):  
Parameter Estimation ◽  
Poisson Process ◽  
Discrete Time ◽  
Time Model ◽  
Discrete Time Model ◽  
Model Driven ◽  
Fractional Poisson Process

A Role for a Simple Discrete-Time Model to Describe Dispersion in an Estuary

1985 ◽  
Vol 17 (6-7) ◽  
pp. 991-1000
Author(s):  
T. Wood
Keyword(s):  
Parameter Estimation ◽  
Discrete Time ◽  
Field Measurements ◽  
River System ◽  
Tidal Amplitude ◽  
Salinity Distribution ◽  
Time Model ◽  
Discrete Time Model ◽  
Modelling Procedure ◽  
Fresh Water Input

A simple discrete-time model is proposed to describe dispersion in an estuary, based on tidal exchanges between neighbouring segments. A procedure for parameter estimation and model validation is described which can be implemented with a minimum of field measurements; and the application of the model is demonstrated with data collected from the Hawkesbury River system, near Sydney. The results indicate that the modelling procedure described is capable of producing useful predictions of the response of salinity distribution to changes in fresh water input and tidal amplitude. The method could be most useful in circumstances where limitations on experimental resources preclude the undertaking of a more detailed investigation.

Parameter estimation in a generalized discrete-time model of density dependence

2008 ◽  
Vol 1 (4) ◽  
pp. 221-229 ◽  
Author(s):  
Leo Polansky ◽  
Perry de Valpine ◽  
James O. Lloyd-Smith ◽  
Wayne M. Getz
Keyword(s):  
Parameter Estimation ◽  
Density Dependence ◽  
Discrete Time ◽  
Time Model ◽  
Discrete Time Model

Non-homogeneous infinitely many sites discrete-time model with exact coalescent

2009 ◽  
Vol 33 (6) ◽  
pp. 713-732
Author(s):  
Adam Bobrowski ◽  
Marek Kimmel ◽  
Małgorzata Kubalińska
Keyword(s):  
Discrete Time ◽  
Time Model ◽  
Discrete Time Model
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