author keywords: capture-recapture experiment; discrete and continuous time Markov process; uniformization; transition probability matrix; multinomial distribution; maximum likelihood estimation; population size estimation

MeSH headings : Algorithms; Animals; Biometry / methods; Computer Simulation; Ecology / methods; Likelihood Functions; Markov Chains; Models, Statistical; Population Density; Time Factors

TL;DR: A four-state discrete time Markov process is proposed, which describes the structure of a marking-capture experiment as a method of population estimation and provides a mark-recapture estimate from a single trap observation by allowing subjects to mark themselves. (via Semantic Scholar)