Random distributional response model based on spline method
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Publication:2301099
DOI10.1016/j.jspi.2019.10.005zbMath1437.62158OpenAlexW2991043235MaRDI QIDQ2301099
Publication date: 28 February 2020
Published in: Journal of Statistical Planning and Inference (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/j.jspi.2019.10.005
Nonparametric regression and quantile regression (62G08) Factor analysis and principal components; correspondence analysis (62H25) Numerical computation using splines (65D07) Applications of statistics to environmental and related topics (62P12)
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- Functional linear regression analysis for longitudinal data
- Fréchet regression for random objects with Euclidean predictors
- The function-on-scalar LASSO with applications to longitudinal GWAS
- Automated analysis of quantitative image data using isomorphic functional mixed models, with application to proteomics data
- Methodology and convergence rates for functional linear regression
- Weak convergence and empirical processes. With applications to statistics
- Generalized functional linear models
- Functional data analysis.
- Nonparametric functional data analysis. Theory and practice.
- Quantile probability and statistical data modeling
- Partially functional linear regression in high dimensions
- FLCRM: Functional linear cox regression model
- Wavelet-based Functional Mixed Models
- Support Vector Machines
- Numerical Optimization
- Penalized Spline Models for Functional Principal Component Analysis
- On Properties of Functional Principal Components Analysis
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