Results 161 to 170 of about 835 (216)

Robust angle-based transfer learning in high dimensions. [PDF]

J R Stat Soc Series B Stat Methodol
Gu T, Han Y, Duan R.
europepmc   +1 more source

A New Implementation of Network GARCH Model for Stock Volatility and Co‐Volatility Forecasting

Journal of Forecasting, EarlyView.
ABSTRACT Volatility clustering and spillovers are key features of financial time series with many cross‐sectional assets. While network analysis links similar or correlated stocks and helps trace volatility spillovers, contemporary multivariate ARCH‐GARCH formulations struggle to represent structured network dependence and remain parsimonious.
Peiyi Zhou
wiley   +1 more source

Alternatives to default shrinkage methods can improve prediction accuracy, calibration, and coverage: A methods comparison study. [PDF]

Stat Methods Med Res
van de Wiel MA, Leday GG, Heymans MW, van Zwet EW, Zwinderman AH, Hoogland J.   +5 more
europepmc   +1 more source

Early Feasibility of Registration of Micro‐PET/CT Scans to Annotated 3D Specimen Models

Head &Neck, EarlyView.
ABSTRACT Background Intraoperative 18F‐fluorodeoxyglucose (18F‐FDG) micro‐positron emission tomography/computed tomography (micro‐PET/CT) is an emerging modality for margin assessment. Prior to clinical use, micro‐PET/CT margin distances must be correlated with gold‐standard histopathology.
Joaquin Austerlitz, Andreja Radevic, Ashtyn McAdoo, Kyrionna Golliday, Cheng Ye, Daniel Fabbri, Adam J. Rosenberg, Marcus Balanky, Anas Alabkaa, Kim A. Ely, Mitra Mehrad, Spencer Roark, Eben Rosenthal, Michael C. Topf   +13 more
wiley   +1 more source

Performance evaluation of different regression models: application in a breast cancer patient data. [PDF]

Sci Rep
Abo El Nasr MM, Abdelmegaly AA, Abdo DA.
europepmc   +1 more source

Machine Learning‐Based Estimation of Reference Evapotranspiration and Crop Coefficients for Wheat Under Diverse Climatic Conditions

Irrigation and Drainage, EarlyView.
ABSTRACT Accurate estimation of reference evapotranspiration (ET0) and crop coefficients (Kc) is critical for irrigation planning, particularly in data‐limited regions where agriculture dominates freshwater consumption. Although machine learning (ML) methods have been widely applied to ET0 and Kc estimation, most studies address these parameters ...
Ilker Angin, Hasan Er, Mete Yaganoglu, Muhammed Sungur Demir, Abdullah Muratoglu   +4 more
wiley   +1 more source

Deniers and Compliers: Unpacking the Heterogeneous Effectiveness of U.S. Stay‐at‐Home Mandates During the COVID‐19 Pandemic

Journal of Applied Econometrics, EarlyView.
ABSTRACT While existing work shows COVID‐19 stay‐at‐home (SAH) policies decreased mobility on average, we lack evidence regarding heterogeneity in policy effectiveness across US counties. To uncover potential heterogeneity, we implement a novel two‐stage approach.
James Sears, Sofia B. Villas‐Boas, Molly Sears, Carly Trachtman, Linlin Fan, Andrew W. Stevens   +5 more
wiley   +1 more source

A Comprehensive Study to Compare Different Compound Representations for Predicting Carcinogenicity In Vivo

Journal of Applied Toxicology, EarlyView.
ABSTRACT Carcinogenicity evaluation is a critical component of chemical risk assessment, yet traditional in vivo testing remains time consuming, costly, and ethically challenging. Computational approaches based on machine learning offer promising alternatives, but the relative contributions of different molecular representation strategies for ...
Iuri Barbosa Pereira, Rogerio Salvini, Eloisa Dutra Caldas   +2 more
wiley   +1 more source

Indoor Air Radon Testing Rate and Its Relationships with Various Socioeconomic and Public Health Factors in Georgia, USA. [PDF]

Int J Environ Res Public Health
Saha U, Singh K, Cooper D, Turner P, Cantrell R.   +4 more
europepmc   +1 more source

Integrating Artificial Intelligence in Periodontal Diagnosis: A Comparative Evaluation of ChatGPT‐4 and Dental Educators

Journal of Dental Education, EarlyView.
ABSTRACT Objective As artificial intelligence (AI) tools gain traction in healthcare, their role in periodontal diagnostics remains largely unexplored. This study evaluated the diagnostic accuracy of ChatGPT‐4 in applying the 2017 Classification of Periodontal and Peri‐Implant Diseases and Conditions compared to US dental school faculty, with the goal ...
Ellie Y. Ji, Kobe A. George, Zabihulla Ahmadi, Eva Bender, Matthew Finkelman, Mark Mintline, Samantha Parad, Thiago Porto, Celine C. Sheng, Aditya Tadinada, Jennifer Chang   +10 more
wiley   +1 more source