An anisotropic and inhomogeneous hidden Markov model for the classification of water quality spatio‐temporal series on a national scale: The case of Scotland
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[1] George Kuczera,et al. Modeling long‐term persistence in hydroclimatic time series using a hidden state Markov Model , 2000 .
[2] L. Wasserman,et al. Practical Bayesian Density Estimation Using Mixtures of Normals , 1997 .
[3] Peter Guttorp,et al. A Hidden Markov Model for Space‐Time Precipitation , 1991 .
[4] Bruno Betrò,et al. Using a hidden Markov model to analyse extreme rainfall events in Central‐East Sardinia , 2008 .
[5] P. Green,et al. On Bayesian Analysis of Mixtures with an Unknown Number of Components (with discussion) , 1997 .
[6] Recent Bayesian approaches for spatial analysis of 2-D images with application to environmental modelling , 2015, Environmental and Ecological Statistics.
[7] J. Besag. Statistical Analysis of Non-Lattice Data , 1975 .
[8] Walter K. Dodds,et al. What controls levels of dissolved phosphate and ammonium in surface waters? , 1993, Aquatic Sciences.
[9] Stephen M. Smith,et al. Segmentation of brain MR images through a hidden Markov random field model and the expectation-maximization algorithm , 2001, IEEE Transactions on Medical Imaging.
[10] S. Frühwirth-Schnatter. Markov chain Monte Carlo Estimation of Classical and Dynamic Switching and Mixture Models , 2001 .
[11] Anthony N. Pettitt,et al. Bayesian Inference in Hidden Markov Random Fields for Binary Data Defined on Large Lattices , 2009 .
[12] P. Green,et al. Corrigendum: On Bayesian analysis of mixtures with an unknown number of components , 1997 .
[13] J. Besag. On the Statistical Analysis of Dirty Pictures , 1986 .
[14] Mark J. Brewer,et al. Periodic multivariate normal hidden markov models for the analysis of water quality time series , 2011 .
[15] Iain Brown,et al. Relationships between climate, water resources, land use and diffuse pollution and the significance of uncertainty in climate change , 2012 .
[16] C. Watts,et al. Water quality of Scottish rivers: spatial and temporal trends. , 2001, The Science of the total environment.
[17] W. Qian,et al. Estimation of parameters in hidden Markov models , 1991, Philosophical Transactions of the Royal Society of London. Series A: Physical and Engineering Sciences.
[18] J. Besag. Spatial Interaction and the Statistical Analysis of Lattice Systems , 1974 .
[19] P. Green,et al. Hidden Markov Models and Disease Mapping , 2002 .
[20] J. Møller,et al. An efficient Markov chain Monte Carlo method for distributions with intractable normalising constants , 2006 .
[21] J. Sansom,et al. A Hidden Markov Model for Rainfall Using Breakpoint Data , 1998 .
[22] Adrian E. Raftery,et al. Approximate Bayes Factors for Image Segmentation: The Pseudolikelihood Information Criterion (PLIC) , 2002, IEEE Trans. Pattern Anal. Mach. Intell..
[23] G. Schwarz. Estimating the Dimension of a Model , 1978 .
[24] James P. Hughes,et al. A hidden Markov model for downscaling synoptic atmospheric patterns to precipitation amounts , 2000 .
[25] J. Sansom,et al. A hidden seasonal switching model for multisite daily rainfall , 2014 .
[26] D. M. Titterington,et al. Computational Bayesian Analysis of Hidden Markov Models , 1998 .
[27] D. Rubin. INFERENCE AND MISSING DATA , 1975 .
[28] S. Frühwirth-Schnatter. Estimating Marginal Likelihoods for Mixture and Markov Switching Models Using Bridge Sampling Techniques , 2004 .