scholarly journals A Hierarchical Bayesian Approach to Ecological Count Data: A Flexible Tool for Ecologists

PLoS ONE ◽  
2011 ◽  
Vol 6 (11) ◽  
pp. e26785 ◽  
Author(s):  
James A. Fordyce ◽  
Zachariah Gompert ◽  
Matthew L. Forister ◽  
Chris C. Nice
Keyword(s):  
Bayesian Approach ◽  
Count Data ◽  
Hierarchical Bayesian ◽  
Flexible Tool

A comparison of salmon escapement estimates using a hierarchical Bayesian approach versus separate maximum likelihood estimation of each year's return

2001 ◽  
Vol 58 (8) ◽  
pp. 1663-1671 ◽  
Author(s):  
Milo D Adkison ◽  
Zhenming Su
Keyword(s):  
Maximum Likelihood ◽  
Maximum Likelihood Estimation ◽  
Bayesian Approach ◽  
Count Data ◽  
Likelihood Estimation ◽  
Data Sets ◽  
Hierarchical Bayesian ◽  
Hierarchical Approach ◽  
Bayesian Hierarchical ◽  
The Bayesian Approach

In this simulation study, we compared the performance of a hierarchical Bayesian approach for estimating salmon escapement from count data with that of separate maximum likelihood estimation of each year's escapement. We simulated several contrasting counting schedules resulting in data sets that differed in information content. In particular, we were interested in the ability of the Bayesian approach to estimate escapement and timing in years where few or no counts are made after the peak of escapement. We found that the Bayesian hierarchical approach was much better able to estimate escapement and escapement timing in these situations. Separate estimates for such years could be wildly inaccurate. However, even a single postpeak count could dramatically improve the estimability of escapement parameters.

A hierarchical Bayesian approach for multi‐site optimization of a satellite‐based evapotranspiration model

2018 ◽  
Vol 32 (26) ◽  
pp. 3907-3923 ◽  
Author(s):  
Yonghong Su ◽  
Qi Feng ◽  
Gaofeng Zhu ◽  
Chunjie Gu ◽  
Yunquan Wang ◽  
...  
Keyword(s):  
Bayesian Approach ◽  
Hierarchical Bayesian

scholarly journals Hierarchical Bayesian Approach for Modeling Spatiotemporal Variability in Flood Damage Processes

2019 ◽  
Vol 55 (10) ◽  
pp. 8223-8237 ◽  
Author(s):  
Nivedita Sairam ◽  
Kai Schröter ◽  
Viktor Rözer ◽  
Bruno Merz ◽  
Heidi Kreibich
Keyword(s):  
Bayesian Approach ◽  
Flood Damage ◽  
Spatiotemporal Variability ◽  
Hierarchical Bayesian ◽  
Damage Processes
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