A mixed Mover-Stayer model for spatiotemporal two-state processes

Biometrics

Volumn 63, Issue 3, 2007, Pages 881-891

  Nathoo, F ^a   Dean, C B ^b  

^a UNIVERSITY OF VICTORIA   (Canada)

^b SIMON FRASER UNIVERSITY   (Canada)

Author keywords

Intrinsic autoregressive model; Mixed Markov model; Monte Carlo EM algorithm; Mover Stayer model; Spatiotemporal binary data

Indexed keywords

FORESTRY; IMAGE SEGMENTATION; MARKOV PROCESSES; MAXIMUM PRINCIPLE; MONTE CARLO METHODS; REGRESSION ANALYSIS;

AUTOREGRESSIVE MODELLING; BINARY DATA; INTRINSIC AUTOREGRESSIVE MODEL; MARKOV MODELING; MIXED MARKOV MODEL; MONTE CARLO EM ALGORITHM; MOVER-STAYER MODEL; SPATIOTEMPORAL BINARY DATA; STATE PROCESS; TWO-STATE;

MAXIMUM LIKELIHOOD ESTIMATION;

BAYESIAN ANALYSIS; BEETLE; FOREST; INFECTIOUS DISEASE; MARKOV CHAIN; MAXIMUM LIKELIHOOD ANALYSIS; MONTE CARLO ANALYSIS; PARASITE INFESTATION; SPATIOTEMPORAL ANALYSIS;

ARTICLE; BAYES THEOREM; CORRELATION ANALYSIS; COVARIANCE; MONTE CARLO METHOD; PROBABILITY; STATISTICAL MODEL; WEEVIL;

BRITISH COLUMBIA; CANADA; NORTH AMERICA;

EID: 34548387629     PISSN: 0006341X     EISSN: 15410420     Source Type: Journal    
DOI: 10.1111/j.1541-0420.2007.00752.x     Document Type: Article

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