A Multivariate Hidden Markov Model for the Identification of Sea Regimes from Incomplete Skewed and Circular Time Series

Journal of Agricultural, Biological, and Environmental Statistics

Volumn 17, Issue 4, 2012, Pages 544-567

  Bulla, J ^a   Lagona, F ^b   Maruotti, A ^b,c   Picone, M ^d  

^a UNIVERSITÉ DE CAEN   (France)

^b ROMA TRE UNIVERSITY   (Italy)

^c UNIVERSITY OF SOUTHAMPTON   (United Kingdom)

^d INSTITUTE FOR ENVIRONMENTAL PROTECTION AND RESEARCH ISPRA   (Italy)

Author keywords

Circular data; EM algorithm; Hidden Markov model; Model based clustering; Skewness; Unsupervised classification; Wave; Wind

Indexed keywords

ALGORITHM; AUTOCORRELATION; BOOTSTRAPPING; MARKOV CHAIN; MULTIVARIATE ANALYSIS; OCEAN WAVE; OCEANOGRAPHY; SKEWNESS; TIME SERIES ANALYSIS; UNSUPERVISED CLASSIFICATION; WIND;

ADRIATIC SEA; MEDITERRANEAN SEA;

EID: 84871332786     PISSN: 10857117     EISSN: 15372693     Source Type: Journal    
DOI: 10.1007/s13253-012-0110-1     Document Type: Article

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