1 citations · 1 across the 8 of their papers we have counts for
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Robust Dual-Regularized Variable Selection under Outlier Contamination
Abdul-Nasah Soale, Adewale F. Lukman, Essoham Ali
Real data often contain unusual observations that can exert disproportionate effects on variable selection, especially in complex predictor settings. We propose a two-stage {\it sp…
Near-Optimal Nitrogen Recommendations for Precision Agriculture via Sequential Screening and Hierarchical Refinement
Sakshi Arya, Abdul-Nasah Soale, Hossein Moradi Rekabdarkolaee
Nitrogen fertilizer management plays a central role in balancing agricultural productivity and environmental sustainability, yet identifying optimal application strategies remains…
Adaptive Influence Diagnostics in High-Dimensional Regression
Abdul-Nasah Soale, Adewale Lukman
An adaptive Cook's distance (ACD) for diagnosing influential observations in high-dimensional single-index models with multicollinearity and outlier contamination is proposed. ACD…
On metric choice in dimension reduction for Fréchet regression
Abdul-Nasah Soale, Congli Ma, Siyu Chen +1
Fréchet regression is becoming a mainstay in modern data analysis for analyzing non-traditional data types belonging to general metric spaces. This novel regression method is espec…
Sufficient dimension reduction for regression with metric space-valued responses
Abdul-Nasah Soale, Yuexiao Dong
Data visualization and dimension reduction for regression between a general metric space-valued response and Euclidean predictors is proposed. Current Fréchét dimension reduction m…
A selective review of sufficient dimension reduction for multivariate response regression
Yuexiao Dong, Abdul-Nasah Soale, Michael D. Power
We review sufficient dimension reduction (SDR) estimators with multivariate response in this paper. A wide range of SDR methods are characterized as inverse regression SDR estimato…