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Longitudinal functional data analysis [PDF]

Stat, 2015
We consider dependent functional data that are correlated because of a longitudinal‐based design: each subject is observed at repeated times and at each time, a functional observation (curve) is recorded. We propose a novel parsimonious modelling framework for repeatedly observed functional observations that allows to extract low‐dimensional features ...
Park, So Young, Staicu, Ana-Maria
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Point Processes in a Metric Space and Their Applications

Mathematics, 2022
Point processes are important in extreme value theory due to their equivalent formulations of two popular models in various applications: the block maxima models and the peak-over-threshold model.
Yuwei Zhao
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Non-Parametric Conditional U-Processes for Locally Stationary Functional Random Fields under Stochastic Sampling Design

Mathematics, 2022
Stute presented the so-called conditional U-statistics generalizing the Nadaraya–Watson estimates of the regression function. Stute demonstrated their pointwise consistency and the asymptotic normality.
Salim Bouzebda, Inass Soukarieh
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Signature of Alzheimer’s Disease in Intestinal Microbiome: Results From the AlzBiom Study

Frontiers in Neuroscience, 2022
BackgroundChanges in intestinal microbiome composition have been described in animal models of Alzheimer’s disease (AD) and AD patients. Here we investigated how well taxonomic and functional intestinal microbiome data and their combination with clinical
Christoph Laske, Christoph Laske, Christoph Laske, Stephan Müller, Oliver Preische, Oliver Preische, Victoria Ruschil, Victoria Ruschil, Matthias H. J. Munk, Matthias H. J. Munk, Iris Honold, Silke Peter, Ulrich Schoppmeier, Matthias Willmann   +13 more
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Clonal tracing reveals diverse patterns of response to immune checkpoint blockade

Genome Biology, 2020
Background Immune checkpoint blockade (ICB) therapy has improved patient survival in a variety of cancers, but only a minority of cancer patients respond.
Shengqing Stan Gu, Xiaoqing Wang, Xihao Hu, Peng Jiang, Ziyi Li, Nicole Traugh, Xia Bu, Qin Tang, Chenfei Wang, Zexian Zeng, Jingxin Fu, Cliff Meyer, Yi Zhang, Paloma Cejas, Klothilda Lim, Jin Wang, Wubing Zhang, Collin Tokheim, Avinash Das Sahu, Xiaofang Xing, Benjamin Kroger, Zhangyi Ouyang, Henry Long, Gordon J. Freeman, Myles Brown, X. Shirley Liu   +25 more
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Kolmogorov Entropy for Convergence Rate in Incomplete Functional Time Series: Application to Percentile and Cumulative Estimation in High Dimensional Data

Entropy, 2023
The convergence rate for free-distribution functional data analyses is challenging. It requires some advanced pure mathematics functional analysis tools.
Ouahiba Litimein, Fatimah Alshahrani, Salim Bouzebda, Ali Laksaci, Boubaker Mechab   +4 more
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Probabilistic Wind Speed Forecasting for Wind Turbine Allocation in the Power Grid

Energies, 2023
To face the growing electricity demand, several countries have adopted the solution of clean energy and use renewable energy sources (e.g., wind and solar) to reinforce the stability of the power network, especially during peak demand periods ...
Mohamed Chaouch
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A Note on Nonparametric Estimation of Conditional Hazard Quantile Function [PDF]

Journal of Risk Analysis and Crisis Response (JRACR), 2017
In this paper, we study an kernel estimator of the conditional hazard quantile function (CHQF) of a scalar response variable Y given a random variable (rv) X taking values in a semi-metric space and using the proposed estimator based of the kernel ...
El Hadj Hamel, Nadia Kadiri, Abbes Rabhi
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A Novel Curve Clustering Method for Functional Data: Applications to COVID-19 and Financial Data

Analytics, 2023
Functional data analysis has significantly enriched the landscape of existing data analysis methodologies, providing a new framework for comprehending data structures and extracting valuable insights. This paper is dedicated to addressing functional data
Ting Wei, Bo Wang
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Dependent Functional Data [PDF]

ISRN Probability and Statistics, 2012
This paper reviews recent research on dependent functional data. After providing an introduction to functional data analysis, we focus on two types of dependent functional data structures: time series of curves and spatially distributed curves. We review statistical models, inferential methodology, and possible extensions.
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