A Bayesian strategy for combining predictions from empirical and process-based models

Ecological Modelling

Volumn 190, Issue 3-4, 2006, Pages 287-298

  Radtke, Philip J ^a   Robinson, Andrew P ^b  

^a VIRGINIA POLYTECHNIC INSTITUTE AND STATE UNIVERSITY   (United States)

^b UNIVERSITY OF IDAHO   (United States)

Author keywords

Bayesian melding; Bayesian synthesis; Ecosystem modeling; Forest growth and yield modeling; Likelihood; Sampling importance resampling

Indexed keywords

ECOSYSTEMS; KNOWLEDGE BASED SYSTEMS; MATHEMATICAL MODELS;

ECOSYSTEM MODELING; FOREST GROWTH MODELS; LIKELIHOOD;

ECOLOGY;

ABOVEGROUND PRODUCTION; BAYESIAN ANALYSIS; ECOSYSTEM MODELING; FOREST; GROWTH MODELING; PREDICTION; PRIMARY PRODUCTION;

EID: 27944469110     PISSN: 03043800     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.ecolmodel.2005.04.021     Document Type: Article

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