Results 121 to 130 of about 16,629 (155)
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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 +3 more
openaire +3 more sources
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 +3 more
openaire +3 more sources
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 +4 more
openaire +3 more sources
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 +4 more
openaire +3 more sources
Nonlinear functional principal component analysis using neural networks
Journal of Multivariate Analysis, 2023Functional principal component analysis (FPCA) is an important technique for dimension reduction in functional data analysis (FDA). Classical FPCA method is based on the Karhunen-Lo\`{e}ve expansion, which assumes a linear structure of the observed ...
Rou Zhong +2 more
semanticscholar +1 more source
Robust Bayesian functional principal component analysis
Statistics and computing, 2023We develop a robust Bayesian functional principal component analysis (RB-FPCA) method that utilizes the skew elliptical class of distributions to model functional data, which are observed over a continuous domain.
Jiarui Zhang, Jiguo Cao, Liangliang Wang
semanticscholar +1 more source
Journal of Applied Meteorology and Climatology, 2023
We propose a statistical downscaling model based on multi-way functional principal component analysis (FPCA) for rainfall prediction. The model mainly explains the relationship between the winter mean sea level pressure (MSLP) and rainfall in southern ...
Shuren Cao +3 more
semanticscholar +1 more source
We propose a statistical downscaling model based on multi-way functional principal component analysis (FPCA) for rainfall prediction. The model mainly explains the relationship between the winter mean sea level pressure (MSLP) and rainfall in southern ...
Shuren Cao +3 more
semanticscholar +1 more source
Journal of Biomechanics, 2022
Gait initiation (GI) is an important locomotor transition task that includes anticipatory postural adjustments and the joint propulsion necessary for the first step of walking.
Kaya Yoshida +3 more
semanticscholar +1 more source
Gait initiation (GI) is an important locomotor transition task that includes anticipatory postural adjustments and the joint propulsion necessary for the first step of walking.
Kaya Yoshida +3 more
semanticscholar +1 more source
Gait & Posture, 2022
BACKGROUND Limited attention has been paid to age- or body size-related changes in the ground reaction forces (GRF) during walking despite their strong associations with lower limb injuries and pathology. RESEARCH QUESTION Do the features of GRF during
H. K. Kim +4 more
semanticscholar +1 more source
BACKGROUND Limited attention has been paid to age- or body size-related changes in the ground reaction forces (GRF) during walking despite their strong associations with lower limb injuries and pathology. RESEARCH QUESTION Do the features of GRF during
H. K. Kim +4 more
semanticscholar +1 more source
Oriental COCOSDA International Conference on Speech Database and Assessments
In many Chinese dialects, tone sandhi with semantic or pragmatic functions shows structural and semantic conditioning, yet varies considerably across speakers, making prediction difficult.
Wanping Xu, Aijun Li
semanticscholar +1 more source
In many Chinese dialects, tone sandhi with semantic or pragmatic functions shows structural and semantic conditioning, yet varies considerably across speakers, making prediction difficult.
Wanping Xu, Aijun Li
semanticscholar +1 more source
Journal of the American Statistical Association
Alzheimer’s disease (AD) is a prevalent and irreversible brain disorder and early prediction of cognitive function is vital for detecting the onset. The volumes of brain regions can serve as features for predicting cognitive decline, facilitating early ...
Shoudao Wen +3 more
semanticscholar +1 more source
Alzheimer’s disease (AD) is a prevalent and irreversible brain disorder and early prediction of cognitive function is vital for detecting the onset. The volumes of brain regions can serve as features for predicting cognitive decline, facilitating early ...
Shoudao Wen +3 more
semanticscholar +1 more source