Accounting for uncertainty in ecological analysis: The strengths and limitations of hierarchical statistical modeling

Ecological Applications

Volumn 19, Issue 3, 2009, Pages 553-570

  Cressie, Noel ^a   Calder, Catherine A ^a   Clark, James S ^b   Ver Hoef, Jay M ^c   Wikle, Christopher K ^d  

^a OHIO STATE UNIVERSITY   (United States)

^b DUKE UNIVERSITY   (United States)

^c NOAA EARTH SYSTEM RESEARCH LABORATORY   (United States)

^d UNIVERSITY OF MISSOURI   (United States)

Author keywords

Bayesian modeling; Data model; Design; Empirical Bayes; Harbor seals; MCMC; Prior; Process model; Spatial process; Spatiotemporal process

Indexed keywords

BAYESIAN ANALYSIS; BOUNDARY CONDITION; DATA INTERPRETATION; ECOSYSTEM MODELING; PROBABILITY; SPATIOTEMPORAL ANALYSIS; STATISTICAL ANALYSIS;

ANIMAL; ANIMAL BEHAVIOR; ARTICLE; BAYES THEOREM; ECOLOGY; ENVIRONMENT; PROBABILITY; STATISTICAL MODEL; UNCERTAINTY;

ANIMALS; BAYES THEOREM; BEHAVIOR, ANIMAL; ECOLOGY; ENVIRONMENT; MARKOV CHAINS; MODELS, STATISTICAL; UNCERTAINTY;

PHOCA;

EID: 65349116559     PISSN: 10510761     EISSN: None     Source Type: Journal    
DOI: 10.1890/07-0744.1     Document Type: Article

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