Functional Data Analysis Group
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Updated
Jul 27, 2017 - Scala
Functional Data Analysis Group
Multi-dimensional Functional Principal Component Analysis
SRSF framework for nucleosome positioning analysis
Rcpp Package implements Hierarchical Functional Models
Clustering and segmentation of heteregeneous functional data (sequential data) by mixture of gaussian Hidden Markov Models (MixFHMMs) and the EM algorithm
R package for the analysis of covariance operators of functional data
Bachelor's thesis: Functional data analysis: interpolation, registration, and nearest neighbors in scikit-fda
Prof. Cao's Slides and R codes for Functional Data Analysis Course
Functional Latent datA Models for clusterING heterogeneOus curveS
This project is to compare our Fisher-Rao registration framework to the Dynamic Time Warping (DTW) to analyze neural signals such as EEG and fMRI where phase variability plays an important role in the data. The code provided here illustrate comparisons with simulation examples.
R code and dataset for the paper on spatially functional data
Presentations I have prepared for different courses and lab seminar throughout my PhD
Functional Data Analysis: curve alignment through landmark registration.
MATLAB implementation of Smooth Manifold FPCA (SM-FPCA)
Final project for longitudinal data analysis. Models change in weight over time with a linear mixed model.
Model-based clustering algorithm for multivariate functional data
Maths for Big Data
Localization processes for functional data analysis. Software companion for the paper “Localization processes for functional data analysis” by Elías, A., Jiménez, R., and Yukich, J. (2020)
Data for the reproducibility of Cuesta-Albertos et al. (2019)
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