Below is a select list of publications by members of the Functional Data Analysis Lab group.
Bold: Student or Post-doc member
Underlined: Principal Investigator
2020
- Staicu AM, Islam MN, Dumitru RA, and van Heugten E (2020). Longitudinal dynamic functional regression. Journal of the Royal Statistical Society Series C.
- Stallings J, Islam MN, Staicu AM, Crouch D, Pan L, and Huang H (to appear). Functional variable selection for EMG-based control of a robotic hand prosthetic. Annals of Applied Statistics.
- Li C, Xiao L, and Luo S (to appear). Joint Model for Survival and Multivariate Sparse Functional Data with Application to a Study of Alzheimer’s Disease. Biometrics.
- Li C, Xiao L and Luo S (2020). Fast covariance estimation for multivariate sparse functional data. Stat.
- Xiao L (2020). Asymptotic properties of penalized splines for functional data. Bernoulli.
- Xiao L and Nan Z (2020). Uniform convergence of penalized splines. Stat.
- Feng Y, Xiao L, Li C, Chen ST, and Ohuma EO (2020). Correlation models for monitoring fetal growth. SMMR.
- Ghosal R, Maity A, Clark T and Longo SB (2020). Variable selection in functional linear concurrent regression. Journal of the Royal Statistical Society Series C.
2019
- Tekbudak YM, Alfaro-Córdoba M, Maity A, Staicu AM (2019). A comparison of testing methods in scalar-on-function regression. Advances in Statistical Analysis.
- Park SY, Li C, Mendoza SM, van Heugten E and Staicu AM (2019). Conditional analysis for mixed covariates, with application to feed intake of lactating sows. Journal of Probability and Statistics.
- Ma W, Xiao L, Liu B and Lindquist MA (2019). A functional mixed model for scalar on function regression for repeated outcomes with application to a fMRI study. Biostatistics.
- Li C and Xiao L (2019). Optimal design for classification of functional data. Canadian Journal of Statistics.
- Chen ST, Xiao L, Staicu AM (2019). A smoothing‐based goodness‐of‐fit test of covariance for functional data. Biometrics.
- Xiao L (2019). Asymptotics of bivariate penalized splines. Journal of Nonparametric Statistics.
- Xiao L (2019). Asymptotic theory of penalized splines. Electronic Journal of Statistics.
2018
- Davenport CA, Maity A, Baladandayuthapani V (2018). Functional interaction-based nonlinear models with application to multi-platform genomics data. Statistics in Medicine.
- Kim JS, Staicu AM, Maity A, Carroll RJ, Ruppert D (2018). Additive function-on-function regression. Journal of Computational and Graphical Statistics.
- Kim JS, Maity A, Staicu AM (2018). Additive nonlinear functional concurrent model. Journal of Computational and Graphical Statistics.
- King MC, Staicu AM, Davis JM, Reich BJ, Eder, B (2018). A functional data analysis of spatiotemporal trends and variation in fine particulate matter. Atmospheric Environment.
- Park SY, Xiao L, Willbur J, Staicu AM, Jumbe NL (2018). A joint design for functional data with application to scheduling ultrasound scans. Computational Statistics and Data Analysis.
- Park SY, Staicu AM, Xiao L, Crainiceanu C (2018). Simple fixed-effects inference for complex functional models. Biostatistics.
2017
- Gruen ME, Alfaro-Córdoba M, Thompson AE, Worth A, Staicu AM, Lascelles BD (2017). The use of functional data analysis to evaluate activity in a spontaneous model of degenerative joint disease associated pain in cats. PLOS ONE.
- Park SY, Staicu AM, Xiao L, Crainiceanu C (2017). Simple fixed-effects inference for complex functional models. Biostatistics.
- Maity A (2017). Nonparametric functional concurrent models. Wiley Interdisciplinary Reviews: Computational Statistics.
- Xiao L, Li C, Checkley W, Crainiceanu C (2017). Fast covariance estimation for sparse functional data. Statistics and Computing.