Results 121 to 130 of about 845,542 (252)
Certifiably Optimal Sparse Sufficient Dimension Reduction
, 2020 22 ...
Yan, Lei, Chen, Xin
openaire +2 more sources
Aging and Cancer, EarlyView.ABSTRACT As global populations age, cancer is increasingly becoming a leading cause of morbidity and mortality among older adults, particularly in low‐ and middle‐income countries (LMICs). Despite accounting for the majority of new cancer cases and deaths, older individuals remain underrepresented in cancer research, clinical guidelines, and health ...
Ibrahim Bidemi Abdullateef +2 more
wiley +1 more source
New multidimensional approaches to poverty measurement in Bosnia and Herzegovina
Croatian Review of Economic, Business and Social Statistics, 2017 Unlike the standard unidimensional poverty indices, based mostly on monetary poverty measures, multidimensional poverty indices may include numerous non-monetary poverty indicators. This study utilized fuzzy and Alkire – Foster (AF) and fuzzy methodology
Delalić Adela +2 more
doaj +1 more source
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Background Poststroke fatigue (PSF) and frailty share substantial overlap in their manifestations, yet previous research has yielded conflicting results due to the use of heterogeneous frailty assessment tools. Objective To evaluate the independent impact of frailty on PSF using a unified measurement system (Tilburg Frailty Indicator, TFI ...
Chuan‐Bang Chen +6 more
wiley +1 more source
Ultrahigh-dimensional sufficient dimension reduction for censored data with measurement error in covariates. [PDF]
J Appl Stat, 2022 Chen LP.
europepmc +1 more source
Distance-Based Independence Screening for Canonical Analysis
, 2019 This paper introduces a new method named Distance-based Independence Screening for Canonical Analysis (DISCA) to reduce dimensions of two random vectors with arbitrary dimensions.
Huo, Xiaoming, Yu, Chuanping
core
The Relationship Between Inflammation and Central Nervous System in Multiple Sclerosis
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Aim Multiple sclerosis is an autoimmune demyelination disease that is seen especially in the young population and has a progressive course, causing motor, sensory, and cognitive deficits. In the literature, the pathogenesis of MS disease and the interconnection between the immune and central nervous system in the disease have not been fully ...
Gamze Ansen +5 more
wiley +1 more source
Nonlinear dimension reduction for regression with nearest neighbors
, 2013 Let $(X,Y)$ be an $\mathcal X\times\mathbb R$ valued random variable, where $\mathcal X\subset \mathbb R^p$. We generalize to a nonlinear framework the sufficient dimension reduction approach, followed by Cadre and Dong (2010), for estimating the ...
Paris, Quentin
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Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objective This study aims to identify both fluid and neuroimaging biomarkers for CSF1R‐RD that can inform the optimal timing of treatment administration to maximize therapeutic benefit, while also providing sensitive quantitative measurements to monitor disease progression.
Tomasz Chmiela +13 more
wiley +1 more source
Neural Networks Perform Sufficient Dimension Reduction
Proceedings of the AAAI Conference on Artificial IntelligenceThis paper investigates the connection between neural networks and sufficient dimension reduction (SDR), demonstrating that neural networks inherently perform SDR in regression tasks under appropriate rank regularizations. Specifically, the weights in the first layer span the central mean subspace. We establish the statistical consistency of the neural
Xu, Shuntuo, Yu, Zhou
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