Results 71 to 80 of about 281,081 (285)
Cross-validation in nonparametric regression with outliers [PDF]
, 2005 A popular data-driven method for choosing the bandwidth in standard kernel regression is cross-validation. Even when there are outliers in the data, robust kernel regression can be used to estimate the unknown regression curve [Robust and Nonlinear Time ...
Leung, Denis Heng-Yan
core +3 more sources
Nonparametric expectile shortfall regression for functional data
Demonstratio MathematicaThis work addresses the issue of financial risk analysis by introducing a novel expected shortfall (ES) regression model, which employs expectile regression to define the shortfall threshold in financial risk management.
Almanjahie Ibrahim M. +4 more
doaj +1 more source
Physics-aware nonparametric regression models for Earth data analysis
Environmental Research Letters, 2022 Process understanding and modeling is at the core of scientific reasoning. Principled parametric and mechanistic modeling dominated science and engineering until the recent emergence of machine learning (ML).
Jordi Cortés-Andrés +9 more
doaj +1 more source
Conductive Hydrogels for Exogenous Sensing and Cell Fate Control
Advanced Materials, EarlyView.We engineer electrically conductive hydrogels by combining sulfated glycosaminoglycans with semiconducting polymers. These hydrogels bind bioactive proteins, including growth factors, whose release or retention can be modulated by low‐voltage stimulation. The hydrogels are also integrated as 3D channels in organic electrochemical transistors as part of
Teuku Fawzul Akbar +15 more
wiley +1 more source
Confidence bands in nonparametric time series regression
, 2008 We consider nonparametric estimation of mean regression and conditional variance (or volatility) functions in nonlinear stochastic regression models.
Wu, Wei Biao, Zhao, Zhibiao
core +2 more sources
Advanced Science, EarlyView.ABSTRACT Our previous clinical trials had demonstrated that neoadjuvant hypofractionated radiotherapy (HFRT) combined with immunotherapy yields promising clinical outcomes in locally advanced rectal cancer (LARC). However, this combined modality benefits only a subset of patients, highlighting the need to uncover the mechanisms underlying how ...
Lichao Liu +12 more
wiley +1 more source
Adaptive Bayesian Nonparametric Regression via Stationary Smoothness Priors
MathematicsA procedure for Bayesian nonparametric regression is described that automatically adjusts the degree of smoothing as the curvature of the underlying function changes.
Justin L. Tobias
doaj +1 more source
Prewhitening-Based Estimation in Partial Linear Regression Models
Revstat Statistical Journal, 2009 The problem of semiparametric modelling in time series is considered. For this, partial linear regression models are used, that is, regression models where the regression function is the sum of a linear and a nonparametric component.
German Aneiros-Pérez +1 more
doaj +1 more source
Advanced Science, EarlyView.Long‐Tea‐CLIP (Contrastive Language‐Image Pre‐training) presents a multimodal AI framework that integrates visual, metabolomic, and sensory knowledge to grade green tea across appearance, soup color, aroma, taste, and infused leaf. By combining expert‐guided modeling with CLIP‐supervised learning, the system delivers fine‐grained quality evaluation and
Yanqun Xu +9 more
wiley +1 more source
Delivery of Pleckstrin‐Homology Domains Suppresses PI3K/Akt Signaling and Breast Cancer Metastasis
Advanced Science, EarlyView.Current therapies curb tumor growth but not metastasis. Obscurin, a giant metastasis suppressor lost in breast cancer, restrains PI3K/Akt signaling but is impractical to restore. We deploy a mini‐obscurin, comprising the obscurin‐PH‐domain, which sequesters PI3K‐p85, potently suppressing invasion and metastasis.
Matthew Eason +12 more
wiley +1 more source