Search alternatives:
estimation algorithm » optimization algorithms (Expand Search), maximization algorithm (Expand Search), detection algorithm (Expand Search)
codon optimization » wolf optimization (Expand Search)
risk estimation » risk mitigation (Expand Search), pose estimation (Expand Search), size estimation (Expand Search)
binary based » library based (Expand Search), linac based (Expand Search), binary mask (Expand Search)
binary data » primary data (Expand Search), dietary data (Expand Search)
data codon » data code (Expand Search), data codes (Expand Search), data codings (Expand Search)
estimation algorithm » optimization algorithms (Expand Search), maximization algorithm (Expand Search), detection algorithm (Expand Search)
codon optimization » wolf optimization (Expand Search)
risk estimation » risk mitigation (Expand Search), pose estimation (Expand Search), size estimation (Expand Search)
binary based » library based (Expand Search), linac based (Expand Search), binary mask (Expand Search)
binary data » primary data (Expand Search), dietary data (Expand Search)
data codon » data code (Expand Search), data codes (Expand Search), data codings (Expand Search)
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Multicategory Angle-Based Learning for Estimating Optimal Dynamic Treatment Regimes With Censored Data
Published 2021“…In theory, we establish Fisher consistency and provide the risk bound for the proposed estimator under regularity conditions. …”
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DataSheet1_A statistical boosting framework for polygenic risk scores based on large-scale genotype data.pdf
Published 2023“…Most often, PRS are estimated based on summary statistics of univariate effects derived from genome-wide association studies. …”
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Modeling Pregnancy Outcomes Through Sequentially Nested Regression Models
Published 2022“…Our approach explicitly bridges the connections across nested outcomes through computationally easy algorithms and enjoys theoretical guarantee of estimation and variable selection. …”
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GridScopeRodents: High-Resolution Global Typical Rodents Distribution Projections from 2021 to 2100 under Diverse SSP-RCP Scenarios
Published 2025“…Using occurrence data and environmental variable, we employ the Maximum Entropy (MaxEnt) algorithm within the species distribution modeling (SDM) framework to estimate occurrence probability at a spatial resolution of 1/12° (~10 km). …”