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Lagona, Francesco, Picone, Marco, Maruotti, Antonello, Cosoli, Simone (2015) A hidden Markov approach to the analysis of space–time environmental data with linear and circular components. Stochastic Environmental Research and Risk Assessment, 29 (2). 397-409 doi:10.1007/s00477-014-0919-y

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Reference TypeJournal (article/letter/editorial)
TitleA hidden Markov approach to the analysis of space–time environmental data with linear and circular components
JournalStochastic Environmental Research and Risk Assessment
AuthorsLagona, FrancescoAuthor
Picone, MarcoAuthor
Maruotti, AntonelloAuthor
Cosoli, SimoneAuthor
Year2015 (February)Volume29
Issue2
PublisherSpringer Science and Business Media LLC
DOIdoi:10.1007/s00477-014-0919-ySearch in ResearchGate
Generate Citation Formats
Mindat Ref. ID9339990Long-form Identifiermindat:1:5:9339990:0
GUID0
Full ReferenceLagona, Francesco, Picone, Marco, Maruotti, Antonello, Cosoli, Simone (2015) A hidden Markov approach to the analysis of space–time environmental data with linear and circular components. Stochastic Environmental Research and Risk Assessment, 29 (2). 397-409 doi:10.1007/s00477-014-0919-y
Plain TextLagona, Francesco, Picone, Marco, Maruotti, Antonello, Cosoli, Simone (2015) A hidden Markov approach to the analysis of space–time environmental data with linear and circular components. Stochastic Environmental Research and Risk Assessment, 29 (2). 397-409 doi:10.1007/s00477-014-0919-y
In(2015, February) Stochastic Environmental Research and Risk Assessment Vol. 29 (2) Springer Science and Business Media LLC

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Maruotti, Antonello, Punzo, Antonio, Mastrantonio, Gianluca, Lagona, Francesco (2016) A time-dependent extension of the projected normal regression model for longitudinal circular data based on a hidden Markov heterogeneity structure. Stochastic Environmental Research and Risk Assessment, 30 (6). 1725-1740 doi:10.1007/s00477-015-1183-5
Fassò, Alessandro, Porcu, Emilio (2015) Latent variables and space-time models for environmental problems. Stochastic Environmental Research and Risk Assessment, 29 (2). 323-324 doi:10.1007/s00477-014-0984-2
Serinaldi, Francesco (2015) Dismissing return periods!. Stochastic Environmental Research and Risk Assessment, 29 (4). 1179-1189 doi:10.1007/s00477-014-0916-1
Mosammam, A. M. (2015) The reverse dimple in potentially negative-value space–time covariance models. Stochastic Environmental Research and Risk Assessment, 29 (2). 599-607 doi:10.1007/s00477-014-0883-6
Mastrantonio, Gianluca, Pollice, Alessio, Fedele, Francesca (2018) Distributions-oriented wind forecast verification by a hidden Markov model for multivariate circular–linear data. Stochastic Environmental Research and Risk Assessment, 32 (1). 169-181 doi:10.1007/s00477-017-1416-x
Adelfio, Giada, Chiodi, Marcello (2015) Erratum to: Alternated estimation in semi-parametric space-time branching-type point processes with application to seismic catalogs. Stochastic Environmental Research and Risk Assessment, 29 (2). 451 doi:10.1007/s00477-014-0945-9
Adelfio, Giada, Chiodi, Marcello (2015) Alternated estimation in semi-parametric space-time branching-type point processes with application to seismic catalogs. Stochastic Environmental Research and Risk Assessment, 29 (2). 443-450 doi:10.1007/s00477-014-0873-8
Lagona, Francesco, Maruotti, Antonello, Padovano, Fabio (2015) Multilevel multivariate modelling of legislative count data, with a hidden Markov chain. Journal of the Royal Statistical Society: Series A (Statistics in Society), 178. 705-723 doi:10.1111/rssa.12089
Serinaldi, Francesco (2015) Erratum to: Dismissing return periods!. Stochastic Environmental Research and Risk Assessment, 29 (4). 1191-1192 doi:10.1007/s00477-015-1044-2
McKenna, Sean A. (2009) UXO target area identification with hidden Markov models. Stochastic Environmental Research and Risk Assessment, 23 (2). 193-202 doi:10.1007/s00477-007-0209-z
Guo, Hongyue, Liu, Xiaodong, Song, Lixin (2015) Dynamic programming approach for segmentation of multivariate time series. Stochastic Environmental Research and Risk Assessment, 29 (1). 265-273 doi:10.1007/s00477-014-0897-0
 
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