Search alternatives:
process optimization » model optimization (Expand Search)
joint optimization » policy optimization (Expand Search), wolf optimization (Expand Search), codon optimization (Expand Search)
cycle process » whole process (Expand Search)
binary cycle » lunar cycle (Expand Search)
binary data » primary data (Expand Search), dietary data (Expand Search)
data joint » data point (Expand Search), data points (Expand Search)
process optimization » model optimization (Expand Search)
joint optimization » policy optimization (Expand Search), wolf optimization (Expand Search), codon optimization (Expand Search)
cycle process » whole process (Expand Search)
binary cycle » lunar cycle (Expand Search)
binary data » primary data (Expand Search), dietary data (Expand Search)
data joint » data point (Expand Search), data points (Expand Search)
-
1
Python-Based Algorithm for Estimating NRTL Model Parameters with UNIFAC Model Simulation Results
Published 2025Subjects: -
2
-
3
Supplementary Material for: Penalized Logistic Regression Analysis for Genetic Association Studies of Binary Phenotypes
Published 2022“…Introduction: Increasingly, logistic regression methods for genetic association studies of binary phenotypes must be able to accommodate data sparsity, which arises from unbalanced case-control ratios and/or rare genetic variants. …”
-
4
Variable Selection with Multiply-Imputed Datasets: Choosing Between Stacked and Grouped Methods
Published 2022“…Building on existing work, we (i) derive and implement efficient cyclic coordinate descent and majorization-minimization optimization algorithms for continuous and binary outcome data, (ii) incorporate adaptive shrinkage penalties, (iii) compare these methods through simulation, and (iv) develop an R package <i>miselect</i>. …”