Locally sparse and robust partial least squares in scalar-on-function regression

Computational methods for problems pertaining to statistics (62-08) Functional data analysis (62R10) Linear regression; mixed models (62J05) Robustness and adaptive procedures (parametric inference) (62F35)

Cites Work

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A robust partial least squares approach for function-on-function regression
Methodology and theory for partial least squares applied to functional data
Sparse estimation in functional linear regression
Functional linear regression that's interpretable
Prediction in functional linear regression
PLS regression on a stochastic process
Methodology and convergence rates for functional linear regression
Estimator selection and combination in scalar-on-function regression
Functional linear model
Sparse functional partial least squares regression with a locally sparse slope function
High-dimensional graphs and variable selection with the Lasso
Functional sparsity: global versus local
Just relax: convex programming methods for identifying sparse signals in noise
Functional Principal Component Regression and Functional Partial Least Squares
The Influence Curve and Its Role in Robust Estimation
Alternatives to the Median Absolute Deviation
Variable Selection via Nonconcave Penalized Likelihood and its Oracle Properties
Uncertainty principles and ideal atomic decomposition
Sparse Partial Least Squares Regression for Simultaneous Dimension Reduction and Variable Selection
The Fitting of Power Series, Meaning Polynomials, Illustrated on Band-Spectroscopic Data
Jackknife Empirical Likelihood Test for Equality of Two High Dimensional Means
Estimating Truncated Functional Linear Models With a Nested Group Bridge Approach
Regularization and Variable Selection Via the Elastic Net
Truncated Linear Models for Functional Data
Robust Estimation of a Location Parameter
Robust Statistics
A practical guide to splines.
Functional Principal Component Regression and Functional Partial Least‐squares Regression: An Overview and a Comparative Study
Methods for Scalar‐on‐Function Regression
Locally Sparse Function-on-Function Regression
Robust scalar-on-function partial quantile regression

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