Bayesian Semiparametric Functional Mixed Models for Serially Correlated Functional Data, With Application to Glaucoma Data - Lee, Wonyul; Miranda, Michelle F.; Rausch, Philip; Baladandayuthapani, Veerabhadran; Fazio, Massimo; Downs, J. Crawford; Morris, Jeffrey S. (Journal of the American Statistical Association, 2019)
Keywords: Age; Age differences; Applications and Case Studies; autocorrelation; Bayesian analysis; Bayesian theory; Biomechanics; Blindness; Correlation; Damage assessment; Etiology; eyes; Functional data analysis; Functional mixed models; Functional regression; Functionals; Glaucoma; growth curves; Hypotheses; Intraocular pressure; Longitudinal functional data; nerve tissue; Nonparametric effects; Nonparametric statistics; Regression analysis; risk; Risk analysis; Risk factors; Smoothing splines; Smoothness; Statistical inference; Statistical methods; Statistics; Transformation; Bayesian models; Glaucoma; Smoothing Splines; Wavelets; Functional regression; Longitudinal Functional Data; Nonparametric effects; Spherical data; Functional mixed models; Functional data analysis