Results 61 to 70 of about 284,254 (315)

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, Gustau Camps-Valls, Sebastian Sippel, Enikő Székely, Dino Sejdinovic, Emiliano Diaz, Adrián Pérez-Suay, Zhu Li, Miguel Mahecha, Markus Reichstein   +9 more
doaj   +1 more source

Clinical Outcomes of Patients Within the Rheumatoid Arthritis Care Pathway Cohort at a Tertiary Care Integrated Delivery Network: A Comparison to Usual Care

Arthritis Care &Research, EarlyView.
Objective We aimed to compare clinical outcomes between patients in the Allegheny Health Network rheumatoid arthritis (RA) care pathway and patients receiving usual care. Methods The care pathway initiative implements guideline‐based best practice alongside multidisciplinary team‐based care.
Tarun Sharma, Tyson S. Barrett, Teigan Dwyer, Nancy Campbell, Jessica Heintzinger, Ellen Kraemer, Adam Dore, Susan Manzi   +7 more
wiley   +1 more source

M Robustified Additive Nonparametric Regression [PDF]

, 2002
Additive modelling has been widely used in nonparametric regression to circumvent the curse of dimensionality, by reducing the problem of estimating a multivariate regression function to the estimation of its univariate components. Estimation of these univariate functions, however, can suffer inaccuracy if the data set is contaminated with extreme ...
Tamine, Julien, Härdle, Wolfgang, Yang, Lijian   +2 more
openaire   +5 more sources

Ultrasonography Compared With Computed Tomography in Identifying Thoracic Aortic Aneurysms in Patients With Giant Cell Arteritis

Arthritis Care &Research, EarlyView.
Objective The objectives of this study were to evaluate the correlation and agreement between ultrasonography and computed tomography (CT) in measuring ascending aorta diameter in patients with giant cell arteritis (GCA) and to investigate the development of new ascending aortic aneurysms in patients with newly diagnosed GCA.
Anne C. Bull Haaversen, Lene K. Brekke, Tanaz A. Kermani, Øyvind Molberg, Andreas P. Diamantopoulos   +4 more
wiley   +1 more source

Nonparametric expectile shortfall regression for functional data

Demonstratio Mathematica
This 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., Abood Hanan, Bouzebda Salim, Alshahrani Fatimah, Laksaci Ali   +4 more
doaj   +1 more source

Nonparametric Multiple-Output Center-Outward Quantile Regression [PDF]

, 2022
Eustasio del Barrio, Alberto González-Sanz, Marc Hallin   +2 more
openalex   +1 more source

Nonparametric LAD cointegrating regression [PDF]

Journal of Multivariate Analysis, 2013
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
openaire   +1 more source

Response to Allopurinol and Febuxostat According to the Fractional Excretion of Urate in Men With Gout

Arthritis Care &Research, EarlyView.
Objective Body mass index (BMI), glomerular filtration rate (GFR), and pretreatment urate levels have been reported to influence the urate‐lowering response to allopurinol. We investigated whether the fractional excretion of uric acid (FEUA) also modulates this response and relates to oxypurinol concentrations.
Pascal Richette, Anouk Walter‐Petrich, Quang Dinh Nguyen, Matthieu Resche‐Rigon, Quang Huy Dinh Nguyen, Minh Duc Do, Thao Phuong Mai, Tuan Duc Nguyen, Fernando Perez‐Ruiz, Emmanuel Letavernier, Tristan Pascart, Augustin Latourte, Hang Korng Ea, Thomas Bardin   +13 more
wiley   +1 more source

Adaptive Bayesian Nonparametric Regression via Stationary Smoothness Priors

Mathematics
A 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 , Juan Manuel Vilar-Fernández   +1 more
doaj   +1 more source