FSEM: Functional Structural Equation Models for Twin Functional Data
DOI10.1080/01621459.2017.1407773zbMath1418.62121OpenAlexW2593501480WikidataQ57446193 ScholiaQ57446193MaRDI QIDQ5229916
Martin Styner, John H. Gilmore, Shikai Luo, Rui Song, Hong-Tu Zhu
Publication date: 19 August 2019
Published in: Journal of the American Statistical Association (Search for Journal in Brave)
Full work available at URL: http://europepmc.org/articles/pmc6497081
Nonparametric regression and quantile regression (62G08) Factor analysis and principal components; correspondence analysis (62H25) Applications of statistics to biology and medical sciences; meta analysis (62P10) Parametric hypothesis testing (62F03)
Related Items (1)
Uses Software
Cites Work
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Functional linear regression analysis for longitudinal data
- Inference for functional data with applications
- Identifying the finite dimensionality of curve time series
- Statistical methods with varying coefficient models
- Multivariate varying coefficient model for functional responses
- Asymptotic distributions of nonparametric regression estimators for longitudinal or functional data
- Functional data analysis.
- Properties of principal component methods for functional and longitudinal data analysis
- Optimal smoothing in nonparametric mixed-effect models
- Statistical inferences for functional data
- A simple test for random effects in regression models
- Penalized Gaussian Process Regression and Classification for High-Dimensional Nonlinear Data
- Functional Mixed Effects Models
- Multiscale Adaptive Regression Models for Neuroimaging Data
- Statistical Inference in Mixed Models and Analysis of Twin and Family Data
- Robust, Adaptive Functional Regression in Functional Mixed Model Framework
- Wavelet-based Functional Mixed Models
- Analysis of Twin Data Using SAS
- Asymptotic Properties of Maximum Likelihood Estimators and Likelihood Ratio Tests Under Nonstandard Conditions
- Smoothing Spline Models with Correlated Random Errors
- Mixed Effects Smoothing Spline Analysis of Variance
- Semiparametric Stochastic Mixed Models for Longitudinal Data
- Testing When a Parameter is on the Boundary of the Maintained Hypothesis
- Varying-coefficient models and basis function approximations for the analysis of repeated measurements
- Hypothesis Testing in Mixture Regression Models
- Modeling Repeated Functional Observations
- Theoretical Foundations of Functional Data Analysis, with an Introduction to Linear Operators
- Low‐Rank Scale‐Invariant Tensor Product Smooths for Generalized Additive Mixed Models
- Selecting the Number of Principal Components in Functional Data
- Biometrical Modeling of Twin and Family Data Using Standard Mixed Model Software
- Nonparametric Regression Methods for Longitudinal Data Analysis
- Functional Data Analysis for Sparse Longitudinal Data
This page was built for publication: FSEM: Functional Structural Equation Models for Twin Functional Data