Results 91 to 100 of about 33,300,374 (339)
Repeated Measures Analysis for Functional Data Using Box-Type Approximation
The repeated measures analysis for functional data is investigated. In the literature, the test statistic for the two-sample problem when data are from the same subject is considered. Unfortunately, the known permutation and bootstrap approximations for
Lukasz Smaga
doaj +1 more source
Differential Monocyte Actuation in a Three‐Organ Functional Innate Immune System‐on‐a‐Chip
A functional, human, multiorgan, pumpless, immune system‐on‐a‐chip featuring recirculating THP‐1 immune cells with cardiomyocytes, skeletal muscle, and liver in separate compartments in a serum‐free medium is developed. This in vitro platform can emulate
Trevor Sasserath +10 more
doaj +1 more source
An Adaptive-to-Model Test for Parametric Functional Single-Index Model
Model checking methods based on non-parametric estimation are widely used because of their tractable limiting null distributions and being sensitive to high-frequency oscillation alternative models.
Lili Xia, Tingyu Lai, Zhongzhan Zhang
doaj +1 more source
Selected statistical methods of data analysis for multivariate functional data
Data in the form of a continuous vector function on a given interval are referred to as multivariate functional data. These data are treated as realizations of multivariate random processes.
Tomasz Górecki +3 more
semanticscholar +1 more source
Reciprocal control of viral infection and phosphoinositide dynamics
Phosphoinositides, although scarce, regulate key cellular processes, including membrane dynamics and signaling. Viruses exploit these lipids to support their entry, replication, assembly, and egress. The central role of phosphoinositides in infection highlights phosphoinositide metabolism as a promising antiviral target.
Marie Déborah Bancilhon, Bruno Mesmin
wiley +1 more source
Financial risk management using the generalized autoregressive conditional heteroskedasticity model is a primordial topic in financial data analysis. It helps to improve risk assessment accuracy by taking into account the time-varying volatility. In this
Ali Laksaci +3 more
doaj +1 more source
Registration for exponential family functional data
We introduce a novel method for separating amplitude and phase variability in exponential family functional data. Our method alternates between two steps: the first uses generalized functional principal components analysis to calculate template functions,
J. Wrobel +3 more
semanticscholar +1 more source
Fluorescent probes allow dynamic visualization of phosphoinositides in living cells (left), whereas mass spectrometry provides high‐sensitivity, isomer‐resolved quantitation (right). Their synergistic use captures complementary aspects of lipid signaling. This review illustrates how these approaches reveal the spatiotemporal regulation and quantitative
Hiroaki Kajiho +3 more
wiley +1 more source
The Signal Amplification, Binding affinity, and Receptor-activation Efficacy (SABRE) model is the most recent general and quantitative model of receptor function.
Barbara Olah +10 more
doaj +1 more source
Joint Clustering and Registration of Functional Data [PDF]
Curve registration and clustering are fundamental tools in the analysis of functional data. While several methods have been developed and explored for either task individually, limited work has been done to infer functional clusters and register curves ...
Telesca, Donatello, Zhang, Yafeng
core

