Results 191 to 200 of about 62,585 (293)
Prediction-powered inference for clinical trials: application to linear covariate adjustment. [PDF]
Poulet PE +6 more
europepmc +1 more source
ChatGPT in Educational Research: A Case Study of Graduate Students' Use and Ethical Perceptions
ABSTRACT The rise of generative AI, particularly ChatGPT, has transformed academic research, raising both opportunities and ethical concerns. This study examines how graduate students in the education field utilize ChatGPT and their ethical perceptions regarding its use.
Eunseon Lim, Hyunwoong Lee, Yeoran Choi
wiley +1 more source
Clarifying space use concepts in ecology: Range vs. occurrence distributions. [PDF]
Alston JM +43 more
europepmc +1 more source
Local Polynomial Regression and Filtering for a Versatile Mesh‐Free PDE Solver
A high‐order, mesh‐free finite difference method for solving differential equations is presented. Both derivative approximation and scheme stabilisation is carried out by parametric or non‐parametric local polynomial regression, making the resulting numerical method accurate, simple and versatile. Numerous numerical benchmark tests are investigated for
Alberto M. Gambaruto
wiley +1 more source
Optimizing genomic predictions in maize using a diversity panel and a multiparental population. [PDF]
López-Malvar A +4 more
europepmc +1 more source
ABSTRACT Using online job advertisement data improves the timeliness and granularity depth of analysis in the labor market in domains not covered by official data. Specifically, its variation over time may be used as an anticipator of official employment variations.
Pietro Giorgio Lovaglio +1 more
wiley +1 more source
Powering RCTs for Marginal Effects With GLMs Using Prognostic Score Adjustment. [PDF]
Højbjerre-Frandsen E +2 more
europepmc +1 more source
ABSTRACT We study the accuracy of a variety of parametric price duration‐based realized variance estimators constructed via various financial duration models and compare their forecasting performance with the performance of various nonparametric return‐based realized variance estimators.
Björn Schulte‐Tillmann +2 more
wiley +1 more source
Machine learning based variance estimation under two phase sampling using health and education sector data. [PDF]
Al-Marzouki S +5 more
europepmc +1 more source

