Search alternatives:
estimation algorithm » optimization algorithms (Expand Search), maximization algorithm (Expand Search), detection algorithm (Expand Search)
risk estimation » risk mitigation (Expand Search), pose estimation (Expand Search), size estimation (Expand Search)
binary basic » binary mask (Expand Search)
basic global » based global (Expand Search), waqi global (Expand Search)
binary data » primary data (Expand Search), dietary data (Expand Search)
data risk » data raise (Expand Search), aaa risk (Expand Search)
estimation algorithm » optimization algorithms (Expand Search), maximization algorithm (Expand Search), detection algorithm (Expand Search)
risk estimation » risk mitigation (Expand Search), pose estimation (Expand Search), size estimation (Expand Search)
binary basic » binary mask (Expand Search)
basic global » based global (Expand Search), waqi global (Expand Search)
binary data » primary data (Expand Search), dietary data (Expand Search)
data risk » data raise (Expand Search), aaa risk (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“…We develop an adapted component-wise L<sub>2</sub>-boosting algorithm to fit genotype data from large cohort studies to continuous outcomes using linear base-learners for the genetic variants. …”
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Modeling Pregnancy Outcomes Through Sequentially Nested Regression Models
Published 2022“…By analyzing the PPCOS data, we successfully uncover the hidden influence of risk factors on live birth, which confirm clinical experience. …”
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Adaptation of a Canadian culpability scoring tool to Alberta police traffic collision report data
Published 2019“…Interrater agreement was estimated using kappa (k) and reported with 95% confidence intervals (CIs). …”
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Variable Selection with Multiply-Imputed Datasets: Choosing Between Stacked and Grouped Methods
Published 2022“…Simulations demonstrate that the “stacked” approaches are more computationally efficient and have better estimation and selection properties. We apply these methods to data from the University of Michigan ALS Patients Biorepository aiming to identify the association between environmental pollutants and ALS risk. …”
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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). …”