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A Bayesian framework for studying climate anomalies and social conflicts
Ujjal Kumar Mukherjee
, Benjamin E. Bagozzi
, Snigdhansu Chatterjee
Business Administration
Biomedical and Translational Sciences
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Keyphrases
Act of State
33%
Bayesian Framework
100%
Climate Anomalies
100%
Climate Change
66%
Event Sets
33%
Human Impact
33%
Human Society
33%
Positive Temperature Anomalies
33%
Probabilistic Uncertainty
33%
Publicly Available
33%
Rebels
100%
Small Region
33%
Small Sets
33%
Social Conflict
100%
Social Scientists
33%
Societal Conflict
33%
Spatial Dependence
33%
Spatio-temporal Dependencies
33%
State Repression
33%
State Resources
33%
Statistical Inference
33%
Statistical Tools
33%
Synthetic Data
33%
Temperature Anomaly
33%
Temperature Deviation
33%
Temporal Dependence
33%
Uncertainty Quantification
33%
Verbal Disputes
33%
Mathematics
Bayesian
100%
Human Society
33%
Inferential Statistics
33%
Positive Temperature
33%
Small Set
33%
Spatial Scale
33%
Temporal Scale
33%
Uncertainty Quantification
33%
Social Sciences
Climate Change
66%
Repression
33%
Social Conflicts
100%
Social Scientists
33%
Statistical Inference
33%
Statistical Tool
33%
Earth and Planetary Sciences
Climate Change
66%
Social Conflict
100%
Temperature Anomaly
66%
Uncertainty Modeling
33%
Computer Science
Bayesian Framework
100%
Climatic Change
66%
Government Resource
33%
Social Scientists
33%
Synthetic Datasets
33%
Economics, Econometrics and Finance
Bayesian
100%