作者: Roger Pradel
DOI: 10.1111/J.1541-0420.2005.00318.X
关键词: Mark and recapture 、 Extension (predicate logic) 、 Hidden Markov model 、 Computer science 、 Econometrics 、 Memory model 、 State (computer science)
摘要: Summary. Capture–recapture models were originally developed to account for encounter probabilities that are less than 1 in free-ranging animal populations. Nowadays, these can deal with the movement of animals between different locations and also used study transitions states. However, their use estimate states does not uncertainty state assignment. I present extension multievent models, which incorporate this uncertainty. Multievent belong family hidden Markov models. show article memory model, next or location is influenced by previous occupied, be fully treated within framework