Curve prediction and clustering with mixtures of Gaussian process functional regression models
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[1] B. Silverman,et al. Functional Data Analysis , 1997 .
[2] P. Green. Reversible jump Markov chain Monte Carlo computation and Bayesian model determination , 1995 .
[3] Roderick Murray-Smith,et al. Hierarchical Gaussian process mixtures for regression , 2005, Stat. Comput..
[4] Adrian E. Raftery,et al. MCLUST Version 3: An R Package for Normal Mixture Modeling and Model-Based Clustering , 2006 .
[5] Zongwu Cai,et al. Adaptive varying‐coefficient linear models , 2000 .
[6] Adrian E. Raftery,et al. MCLUST Version 3 for R: Normal Mixture Modeling and Model-Based Clustering † , 2007 .
[7] Hans-Georg Ller,et al. Functional Modelling and Classification of Longitudinal Data. , 2005 .
[8] B. Silverman,et al. Estimating the mean and covariance structure nonparametrically when the data are curves , 1991 .
[9] G. Schwarz. Estimating the Dimension of a Model , 1978 .
[10] M. Stephens. Bayesian analysis of mixture models with an unknown number of components- an alternative to reversible jump methods , 2000 .
[11] Padhraic Smyth,et al. Curve Clustering with Random Effects Regression Mixtures , 2003, AISTATS.
[12] J. Faraway. Regression analysis for a functional response , 1997 .
[13] William M. Rand,et al. Objective Criteria for the Evaluation of Clustering Methods , 1971 .
[14] D. M. Titterington,et al. Bayesian regression and classification using mixtures of Gaussian processes , 2003 .
[15] O. Cappé,et al. Reversible jump, birth‐and‐death and more general continuous time Markov chain Monte Carlo samplers , 2003 .
[16] P. Green,et al. Spatially Correlated Allocation Models for Count Data , 2000 .
[17] P. Green,et al. Modelling spatially correlated data via mixtures: a Bayesian approach , 2002 .
[18] A. O'Hagan,et al. Bayesian calibration of computer models , 2001 .
[19] J Q Shi,et al. Gaussian Process Functional Regression Modeling for Batch Data , 2007, Biometrics.
[20] Geoffrey J. McLachlan,et al. Finite Mixture Models , 2019, Annual Review of Statistics and Its Application.
[21] D. Mackay,et al. Introduction to Gaussian processes , 1998 .
[22] A. F. Smith,et al. Statistical analysis of finite mixture distributions , 1986 .
[23] T. Louis. Finding the Observed Information Matrix When Using the EM Algorithm , 1982 .
[24] T. Bajd,et al. Nonlinear modeling of FES-supported standing-up in paraplegia for selection of feedback sensors , 2005, IEEE Transactions on Neural Systems and Rehabilitation Engineering.
[25] T Bajd,et al. Functional electrical stimulation and arm supported sit-to-stand transfer after paraplegia: a study of kinetic parameters. , 1999, Artificial organs.
[26] Catherine A. Sugar,et al. Clustering for Sparsely Sampled Functional Data , 2003 .