Results 91 to 100 of about 740 (113)

Tutorial on Bayesian Functional Regression Using Stan. [PDF]

Stat Med
Jiang Z, Crainiceanu C, Cui E.
europepmc   +1 more source

Regression and alignment for functional data and network topology. [PDF]

Biostatistics
Tu D, Wrobel J, Satterthwaite TD, Goldsmith J, Gur RC, Gur RE, Gertheiss J, Bassett DS, Shinohara RT.   +8 more
europepmc   +1 more source

Efficacy inference in early-phase non-controlled clinical trials via Bayesian biomarker deconvolution

Humphries C, Kilpatrick AM, Cartwright JA, Potter C, Fernando AJ, Candela ME, Man J, Aird R, Simpson KJ, Lyall MJ, Lewis PS, Rodriguez A, Weir CJ, Dear JW, Forbes SJ, Schumacher LJ.   +15 more
europepmc   +1 more source

New Modeling Approaches Based on Varimax Rotation of Functional Principal Components

Mathematics, 2020
Functional Principal Component Analysis (FPCA) is an important dimension reduction technique to interpret the main modes of functional data variation in terms of a small set of uncorrelated variables.
Manuel Escabias, Christian Acal, Ana M Aguilera   +2 more
exaly   +3 more sources

TI-FPCA: Effective and Interpretable Dimensionality Reduction with Transform-Invariant Functional Principal Component Analysis

Communications in Computer and Information Science
Florian Heinrichs
exaly   +2 more sources

Assessing prescription drug abuse using functional principal component analysis (FPCA) of wastewater data

Pharmacoepidemiology and Drug Safety, 2016
AbstractBackgroundWastewater‐based epidemiology is an alternative method for estimating the collective drug use in a community. We applied functional data analysis, a statistical framework developed for analysing curve data, to investigate weekly temporal patterns in wastewater measurements of three prescription drugs with known abuse potential ...
Stefania, Salvatore, Jo, Røislien, Jose A, Baz-Lomba, Jørgen G, Bramness   +3 more
openaire   +2 more sources

DE-FPCA: Testing Gene Differential Expression and Exon Usage Through Functional Principal Component Analysis

2014
RNA-seq, next-generation sequencing (NGS) applied to RNA, is rapidly becoming the platform of choice for gene expression profiling. Existing methods, mostly parametric, describe the expression level of a gene or transcript by a single number that summarizes all reads mapped to that gene or transcript.
Hao Xiong, James Bentley Brown, Nathan Boley, Peter J. Bickel, Haiyan Huang   +4 more
openaire   +1 more source

Robust functional principal components for sparse longitudinal data

Metron, 2021
Graciela Boente, Matías Salibián-Barrera   +1 more
exaly  

Access Suspended

Annals of Statistics, 2009
Wolfgang Härdle, Alois Kneip
exaly   +2 more sources

A time-varying distance based interval-valued functional principal component analysis method – A case study of consumer price index

Information Sciences, 2022
Tomas Balezentis, Chonghui `Zhang
exaly