Extending the latent multinomial model with complex error processes and dynamic Markov bases
Work
Year: 2016
Type: article
Abstract: The latent multinomial model (LMM) of Link et al. [Biometrics 66 (2010) 178–185] provides a framework for modelling mark-recapture data with potential identification errors. Key is a Markov chain Mont... more
Source: The Annals of Applied Statistics
Institutions University of Kentucky, North Carolina State University, University of Otago, Western University
Cites: 21
Cited by: 12
Related to: 10
FWCI: 0.775
Citation percentile (by year/subfield): 100
Subfield: Ecology
Field: Environmental Science
Domain: Physical Sciences
Open Access status: hybrid