Fitting complex population models by combining particle filters with Markov chain Monte Carlo

Ecology

Volumn 93, Issue 2, 2012, Pages 256-263

  Knape, Jonas ^a   De Valpine, Perry ^a  

^a UNIVERSITY OF CALIFORNIA   (United States)

Author keywords

Markov chain Monte Carlo (MCMC); Observation error; Particle filter; Population dynamics; State space models

Indexed keywords

ALGORITHM; ERROR ANALYSIS; MARKOV CHAIN; MARSUPIAL; MONTE CARLO ANALYSIS; POPULATION DYNAMICS; POPULATION MODELING; TIME SERIES;

ANIMAL; ARTICLE; BIOLOGICAL MODEL; COMPUTER SIMULATION; KANGAROO; MONTE CARLO METHOD; PHYSIOLOGY; PHYTOPLANKTON; POPULATION DYNAMICS; PROBABILITY; STATISTICAL MODEL; TIME; ZOOPLANKTON;

ANIMALS; COMPUTER SIMULATION; MACROPODIDAE; MARKOV CHAINS; MODELS, BIOLOGICAL; MODELS, STATISTICAL; MONTE CARLO METHOD; PHYTOPLANKTON; POPULATION DYNAMICS; TIME FACTORS; ZOOPLANKTON;

AUSTRALIA; NEW SOUTH WALES;

MACROPUS RUFUS;

EID: 84860249785     PISSN: 00129658     EISSN: None     Source Type: Journal    
DOI: 10.1890/11-0797.1     Document Type: Article

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