Bayesian change point analysis of abundance trends for pelagic fishes in the upper San Francisco Estuary

Keyphrases

• Abundance Trends 100%
• Pelagic Fish 100%
• San Francisco Estuary 100%
• Bayesian Quickest Change Detection 100%
• Change-point Model 100%
• Species Abundance 66%
• Freshwater 33%
• Four Species 33%
• Rate of Change 33%
• Estuary 33%
• Fish Species 33%
• Abiotic Variables 33%
• Linear Regression 33%
• Trend Change 33%
• Changes in Abundance 33%
• Modeling Data 33%
• Over 40 33%
• Step Change 33%
• Multispecies 33%
• Absolute Abundance 33%
• Delta Smelt 33%
• Missing Covariates 33%
• California USA 33%
• Bayesian Change Point Model 33%
• Hierarchical Structure 33%
• Bayesian Model Selection 33%
• Regression Splines 33%
• Observation Error 33%
• Longfin Smelt 33%
• Threadfin Shad 33%
• Striped Bass 33%
• Statistical Trends 33%
• Uncertain Data 33%
• Water Clarity 33%

Earth and Planetary Sciences

• Pelagic Fish 100%
• United States of America 50%
• Time Series 50%
• California 50%

Agricultural and Biological Sciences

• Estuaries 100%
• Pelagic Fish 100%
• Shad 33%