A Multivariate Hidden Markov Model for the Identification of Sea Regimes from Incomplete Skewed and Circular Time Series
暂无分享,去创建一个
A. Maruotti | Jan Bulla | F. Lagona | M. Picone | J. Bulla
[1] H. Teicher. Identifiability of Mixtures of Product Measures , 1967 .
[2] S. Yakowitz,et al. On the Identifiability of Finite Mixtures , 1968 .
[3] New York Dover,et al. ON THE CONVERGENCE PROPERTIES OF THE EM ALGORITHM , 1983 .
[4] R. Redner,et al. Mixture densities, maximum likelihood, and the EM algorithm , 1984 .
[5] D E Weeks,et al. Efficient computation of lod scores: genotype elimination, genotype redefinition, and hybrid maximum likelihood algorithms , 1989, Annals of human genetics.
[6] Odd M. Faltinsen,et al. Sea loads on ships and offshore structures , 1990 .
[7] Peter Guttorp,et al. A Hidden Markov Model for Space‐Time Precipitation , 1991 .
[8] P C Molenaar,et al. Confidence intervals for hidden Markov model parameters. , 2000, The British journal of mathematical and statistical psychology.
[9] Gérard Govaert,et al. Assessing a Mixture Model for Clustering with the Integrated Completed Likelihood , 2000, IEEE Trans. Pattern Anal. Mach. Intell..
[10] Geoffrey J. McLachlan,et al. Finite Mixture Models , 2019, Annual Review of Statistics and Its Application.
[11] Peter C. M. Molenaar,et al. Fitting hidden Markov models to psychological data , 2002, Sci. Program..
[12] Harshinder Singh,et al. Probabilistic model for two dependent circular variables , 2002 .
[13] Christophe Biernacki,et al. Choosing starting values for the EM algorithm for getting the highest likelihood in multivariate Gaussian mixture models , 2003, Comput. Stat. Data Anal..
[14] S. Sahu,et al. A new class of multivariate skew distributions with applications to bayesian regression models , 2003 .
[15] Kang-Ren Jin,et al. Case Study: Modeling of Sediment Transport and Wind-Wave Impact in Lake Okeechobee , 2004 .
[16] Eric Moulines,et al. Inference in hidden Markov models , 2010, Springer series in statistics.
[17] A. Sterl,et al. A New Nonparametric Method to Correct Model Data: Application to Significant Wave Height from the ERA-40 Re-Analysis , 2005 .
[18] C. Guedes Soares,et al. Analysis of sea waves and wind from X-band radar , 2005 .
[19] Nikolaos Limnios,et al. Maximum likelihood estimation for hidden semi-Markov models , 2006 .
[20] A. Munk,et al. Hidden Markov models for circular and linear-circular time series , 2006, Environmental and Ecological Statistics.
[21] Marc Prevosto,et al. Survey of stochastic models for wind and sea state time series , 2007 .
[22] K. Mardia,et al. Protein Bioinformatics and Mixtures of Bivariate von Mises Distributions for Angular Data , 2007, Biometrics.
[23] Kanti V. Mardia,et al. A multivariate von mises distribution with applications to bioinformatics , 2008 .
[24] Jan Bulla,et al. Computational issues in parameter estimation for stationary hidden Markov models , 2008, Comput. Stat..
[25] K. Shimizu,et al. Dependent models for observations which include angular ones , 2008 .
[26] H. Kapitza,et al. Interaction of waves, currents and tides, and wave-energy impact on the beach area of Sylt Island , 2009 .
[27] W. Zucchini,et al. Hidden Markov Models for Time Series: An Introduction Using R , 2009 .
[28] Tsung I. Lin,et al. Maximum likelihood estimation for multivariate skew normal mixture models , 2009, J. Multivar. Anal..
[29] Luigi Cavaleri,et al. Wind and wave predictions in the Adriatic Sea , 2009 .
[30] Marc G. Genton,et al. Multivariate log‐skew‐elliptical distributions with applications to precipitation data , 2009 .
[31] Gilles Celeux,et al. Combining Mixture Components for Clustering , 2010, Journal of computational and graphical statistics : a joint publication of American Statistical Association, Institute of Mathematical Statistics, Interface Foundation of North America.
[32] L. Hamilton. Characterising spectral sea wave conditions with statistical clustering of actual spectra , 2010 .
[33] Jan Bulla,et al. hsmm - An R package for analyzing hidden semi-Markov models , 2010, Comput. Stat. Data Anal..
[34] Qiang Zhang,et al. Multivariate Discrete Hidden Markov Models for Domain-Based Measurements and Assessment of Risk Factors in Child Development , 2010, Journal of computational and graphical statistics : a joint publication of American Statistical Association, Institute of Mathematical Statistics, Interface Foundation of North America.
[35] Salvatore Ingrassia,et al. Degeneracy of the EM algorithm for the MLE of multivariate Gaussian mixtures and dynamic constraints , 2011, Comput. Stat. Data Anal..
[36] R. Langrock,et al. Hidden Markov models with arbitrary state dwell-time distributions , 2011, Comput. Stat. Data Anal..
[37] Adrian Wing-Keung Law,et al. Wave-induced drift of small floating objects in regular waves , 2011 .
[38] A. Maruotti. Mixed Hidden Markov Models for Longitudinal Data: An Overview , 2011 .
[39] Gordon Reikard,et al. Forecasting ocean waves: Comparing a physics-based model with statistical models , 2011 .
[40] Pierre Ailliot,et al. Markov-switching autoregressive models for wind time series , 2012, Environ. Model. Softw..
[41] F. Lagona,et al. Model-based clustering of multivariate skew data with circular components and missing values , 2012 .
[42] Victor H. Lachos,et al. Multivariate mixture modeling using skew-normal independent distributions , 2012, Comput. Stat. Data Anal..
[43] F. Lagona,et al. Maximum likelihood estimation of bivariate circular hidden Markov models from incomplete data , 2013 .
[44] Francesco Lagona,et al. A Latent-Class Model for Clustering Incomplete Linear and Circular Data in Marine Studies , 2021 .