£170.00
presents nonparametric statistical methods for functional regression analysis, specifically the methods based on a Gaussian process prior in a functional space. The authors focus on problems involving functional response variables and mixed covariates of functional and scalar variables.
Functional Data Analysis with R
Theoretical Foundations of Functional Data Analysis, with an Introduction to Linear Operators
Analysis of Variance for Functional Data
Bayesian Reasoning and Gaussian Processes for Machine Learning Applications
Geostatistical Functional Data Analysis
Regression
Smoothing and Regression
Local Polynomial Modelling and Its Applications
Wavelets in Functional Data Analysis
Functional Analysis Framework for Modeling, Estimation and Control in Science and Engineering
Introduction to Functional Data Analysis
Transformation and Weighting in Regression