Improved Predictions of Lynx Trappings Using a Biological Model

Cavan S Reilly, Angelique Zeringue

Research output: Chapter in Book/Report/Conference proceedingChapter

5 Scopus citations
Original languageEnglish (US)
Title of host publicationApplied Bayesian Modeling and Causal Inference from Incomplete-Data Perspectives
Subtitle of host publicationAn Essential Journey with Donald Rubin's Statistical Family
PublisherWiley-Blackwell
Pages297-308
Number of pages12
ISBN (Electronic)9780470090459
ISBN (Print)047009043X, 9780470090435
DOIs
StatePublished - Jul 14 2005

Keywords

  • Canadian lynx trappings
  • Field of time series prediction
  • Fourth-order Runge-Kutta method
  • Lotka-Volterra equations
  • Posterior modes
  • Self exciting threshold autoregression (SETAR)
  • Simulated annealing algorithm
  • Sine curve
  • Tong's SETAR model

Cite this

Reilly, C. S., & Zeringue, A. (2005). Improved Predictions of Lynx Trappings Using a Biological Model. In Applied Bayesian Modeling and Causal Inference from Incomplete-Data Perspectives: An Essential Journey with Donald Rubin's Statistical Family (pp. 297-308). Wiley-Blackwell. https://doi.org/10.1002/0470090456.ch27