EconPapers    
Economics at your fingertips  
 

Parameter estimation of stochastic SIR model driven by small Lévy noise with time-dependent periodic transmission

Terry Easlick () and Wei Sun ()
Additional contact information
Terry Easlick: Université de Montréal
Wei Sun: Concordia University

Statistical Inference for Stochastic Processes, 2025, vol. 28, issue 1, No 3, 30 pages

Abstract: Abstract We investigate the parameter estimation and prediction of two forms of the stochastic SIR model driven by small Lévy noise with time-dependent periodic transmission. We present consistency and rate of convergence results for the least-squares estimators. We include simulation studies using the method of projected gradient descent.

Keywords: Stochastic SIR model; Parameter estimation; Least-squares method; Time-dependency; Periodic transmission; Lévy noise; 62M20; 92D30; 62F12 (search for similar items in EconPapers)
Date: 2025
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
http://link.springer.com/10.1007/s11203-024-09322-5 Abstract (text/html)
Access to the full text of the articles in this series is restricted.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:sistpr:v:28:y:2025:i:1:d:10.1007_s11203-024-09322-5

Ordering information: This journal article can be ordered from
http://www.springer. ... ty/journal/11203/PS2

DOI: 10.1007/s11203-024-09322-5

Access Statistics for this article

Statistical Inference for Stochastic Processes is currently edited by Denis Bosq, Yury A. Kutoyants and Marc Hallin

More articles in Statistical Inference for Stochastic Processes from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().

 
Page updated 2025-03-20
Handle: RePEc:spr:sistpr:v:28:y:2025:i:1:d:10.1007_s11203-024-09322-5