Bayesian changepoint analysis for extreme events (Typhoons, heavy rainfall, and heat waves): An RJMCMC approach

Journal of Climate

Volumn 23, Issue 5, 2010, Pages 1034-1046

  Zhao, Xin ^a   Chu, Pao Shin ^b  

^a University of Hawai'i at Manoa   (United States)

^b UNIVERSITY OF HAWAII   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ABRUPT CHANGE; BAYESIAN; CHANGE-POINT ANALYSIS; CHANGE-POINTS; CHICAGO; EXTREME EVENTS; EXTREME RAINFALL; GAMMA-DISTRIBUTED; HEAT WAVES; HEAVY RAINFALL; HIERARCHICAL BAYESIAN; POISSON PROCESS; POSTERIOR PROBABILITY; RARE EVENT; REGIME SHIFT; REVERSIBLE JUMP MARKOV CHAIN MONTE CARLO; THREE-LAYER; TYPHOON ACTIVITY; WESTERN NORTH PACIFIC;

ALGORITHMS; BAYESIAN NETWORKS; CLIMATOLOGY; HURRICANES; INFERENCE ENGINES; MARKOV PROCESSES; POISSON DISTRIBUTION; SECURITY OF DATA; TIME SERIES;

RAIN;

ALGORITHM; BAYESIAN ANALYSIS; DECADAL VARIATION; EXTREME EVENT; MARKOV CHAIN; MONTE CARLO ANALYSIS; PROBABILITY; RAINFALL; TYPHOON;

CHICAGO; HAWAII [UNITED STATES]; HAWAIIAN ISLANDS; HONOLULU; ILLINOIS; OAHU; PACIFIC OCEAN; PACIFIC OCEAN (NORTHWEST); UNITED STATES;

EID: 77953665887     PISSN: 08948755     EISSN: None     Source Type: Journal    
DOI: 10.1175/2009JCLI2597.1     Document Type: Article

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