Results 181 to 190 of about 57,676 (265)

Nonlinear permuted Granger causality

Canadian Journal of Statistics, EarlyView.
Abstract Granger causality is an established, contentious method that seeks causal temporal connections via association and precedence. While not true causal inference, it assists in mapping networks of information flow that may warrant further study.
Noah D. Gade, Jordan Rodu
wiley   +1 more source

Turbofan Engine Remaining Useful Life Prediction with Reliable Prediction Intervals via LSTM-Based Quantile Regression and Conformal Calibration. [PDF]

Sensors (Basel)
Diao R, Zhou M, Meng G, Wang S.
europepmc   +1 more source

Copula‐based joint modelling of emergency department visits with time‐varying dependence

Canadian Journal of Statistics, EarlyView.
Abstract Jointly modelling multiple correlated count time series is essential in health services research, where outcomes like emergency visits for mental health and substance use often evolve together. Ignoring these dependencies can obscure meaningful trends and limit the effectiveness of policy evaluation.
Guanjie Lyu, Cindy Feng, Lihui Liu
wiley   +1 more source

Asymmetric effects of heating and cooling degree days on carbon dioxide emissions in Germany using cross quantile regression. [PDF]

Sci Rep
Akadiri SS, Özkan O, Hamza F.
europepmc   +1 more source

Vine copula knockoffs for variable selection in gene expression studies

Canadian Journal of Statistics, EarlyView.
Abstract Identifying clinical and genetic markers is essential for stratifying cancer patients by survival outcomes and guiding personalized treatment strategies. However, gene expression studies often involve high‐dimensional predictors with mixed data types and complex dependence, which complicates reliable variable selection.
José Ulises Márquez Urbina, Alejandro Román Vásquez, Graciela González Farías, Gabriel Escarela   +3 more
wiley   +1 more source

Visualizing heterogeneous associations: economic capital and adolescent football participation in China: a cross-sectional study using quantile regression with school-level fixed effects. [PDF]

Front Psychol
Jin D, Quan Z, Pang D, Li N.
europepmc   +1 more source

Optimal subsampling for regression with mixed‐type predictors

Canadian Journal of Statistics, EarlyView.
Abstract Subsampling has emerged as an appealing strategy to mitigate the computational and storage challenges imposed by large datasets. Recent subsampling techniques have shown notable computational gains for data dominated by numerical predictors. However, real‐world datasets frequently contain both numerical and categorical predictors.
Jiaqing Zhu, Lin Wang, Fasheng Sun
wiley   +1 more source

Factors influencing childbearing intention among married childless female nurses in Korea: a cross-sectional study using quantile regression. [PDF]

Womens Health Nurs
Jung Y, Kim M.
europepmc   +1 more source

Does ESG Performance Reduce Default Risk in Insurance Firms? Evidence From Life and Non‐Life Sectors

Corporate Social Responsibility and Environmental Management, EarlyView.
ABSTRACT This study examines whether environmental, social, and governance performance is associated with lower default risk in European insurance firms, and whether the strength of this association differs between life and non‐life business models.
S. Miani, M. Mantovani, E. Palmieri
wiley   +1 more source

A High-Resolution Forest Soil Organic Carbon Dataset for China Derived from an Enhanced Quantile Regression Forest Model. [PDF]

Sci Data
Chen J, Ou Y, Fan Z, Zhang X, Xiao W, Sun Q, Sun X, Huang Z.   +7 more
europepmc   +1 more source