On the asymptotic behavior of the parameter estimators for some diffusion processes: application to neuronal models

DOI10.1007/s11587-009-0050-4zbMath1215.62085OpenAlexW1983501616MaRDI QIDQ1042620

J. Blot

Publication date: 14 December 2009

Published in: Ricerche di Matematica (Search for Journal in Brave)

Full work available at URL: http://hdl.handle.net/2318/56296

zbMATH Keywords

rate of convergenceasymptotic propertiesfirst-passage timeneuronal modelsmoment type estimators

Mathematics Subject Classification ID

Asymptotic properties of parametric estimators (62F12) Applications of statistics to biology and medical sciences; meta analysis (62P10) Probabilistic models, generic numerical methods in probability and statistics (65C20) Markov processes: estimation; hidden Markov models (62M05) Neural biology (92C20) Diffusion processes (60J60)

Related Items (2)

Stochastic Integrate and Fire Models: A Review on Mathematical Methods and Their Applications ⋮ On the densities of certain bounded diffusion processes

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