Results 171 to 180 of about 3,032,172 (354)
Determinants of household income of micro-finance women participants: a quantile regression approach [PDF]
Jarita Duasa, Nur Hidayah Zainal
openalex +1 more source
Robust Variable Selection Based on Penalized Composite Quantile Regression for High-Dimensional Single-Index Models [PDF]
Yunquan Song, Zitong Li, Minglu Fang
openalex +1 more source
Rockburst prediction based on data preprocessing and hyperband‐RNN‐DNN
A data preprocessing workflow is proposed to address challenges in rockburst data analysis. Coupled algorithms preprocess the data set, and hyperband optimization is used to enhance RNN performance. Results show that preprocessing improves accuracy, while dense layers enhance model stability and prediction performance.
Yong Fan +4 more
wiley +1 more source
Instrumental variable quantile regression under random right censoring
Jad Beyhum +2 more
openalex +2 more sources
Quantile regression estimands and models: revisiting the motherhood wage penalty debate [PDF]
Nicolai T. Borgen +2 more
openalex +1 more source
Aluminum‐enhanced afterburning renders AE explosives more hazardous than conventional ones. Corrugated steel linings reduce far‐field AE blast overpressure by ~50% through wave reflection and dissipation. The developed model accurately predicts peak pressure (<10% error) and arrival time (<3% error), supporting protective design.
Zhen Wang +5 more
wiley +1 more source
THE DIFFERENTIAL ECONOMIC BENEFITS OF RURAL ELECTRIFICATION IN INDIA: QUANTILE REGRESSION ESTIMATION
T. Lakshmanasamy
openalex +1 more source
The proposed study combined the dual attention mechanism with a bidirectional long short‐term memory network (DA‐BiLSTM) for short‐term load forecasting. This technique was tested on two electric load datasets to assess its generalizability. Additionally, the robustness of DA‐BiLSTM was illustrated through comparative analysis with other deep learning ...
Sabiha Rani +7 more
wiley +1 more source

