بدائل البحث:
bayesian optimization » based optimization (توسيع البحث)
estimation algorithms » optimization algorithms (توسيع البحث), detection algorithms (توسيع البحث)
sampling bayesian » sampling design (توسيع البحث), applied bayesian (توسيع البحث), showing bayesian (توسيع البحث)
binary sampling » primary sampling (توسيع البحث), january sampling (توسيع البحث)
risk estimation » risk mitigation (توسيع البحث), pose estimation (توسيع البحث), size estimation (توسيع البحث)
binary 2 » binary _ (توسيع البحث), binary b (توسيع البحث)
2 risk » _ risk (توسيع البحث), a risk (توسيع البحث)
bayesian optimization » based optimization (توسيع البحث)
estimation algorithms » optimization algorithms (توسيع البحث), detection algorithms (توسيع البحث)
sampling bayesian » sampling design (توسيع البحث), applied bayesian (توسيع البحث), showing bayesian (توسيع البحث)
binary sampling » primary sampling (توسيع البحث), january sampling (توسيع البحث)
risk estimation » risk mitigation (توسيع البحث), pose estimation (توسيع البحث), size estimation (توسيع البحث)
binary 2 » binary _ (توسيع البحث), binary b (توسيع البحث)
2 risk » _ risk (توسيع البحث), a risk (توسيع البحث)
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Multicategory Angle-Based Learning for Estimating Optimal Dynamic Treatment Regimes With Censored Data
منشور في 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
منشور في 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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Variable Selection with Multiply-Imputed Datasets: Choosing Between Stacked and Grouped Methods
منشور في 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>. …"
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Nonparametric Distribution Regression and Change Point Detection in High-Dimensions
منشور في 2025"…This dissertation investigates two high-dimensional problems—change-point analysis in functional linear regression and nonparametric density estimation using modern generative models. …"
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Adaptation of a Canadian culpability scoring tool to Alberta police traffic collision report data
منشور في 2019"…Interrater agreement was estimated using kappa (k) and reported with 95% confidence intervals (CIs). …"
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GridScopeRodents: High-Resolution Global Typical Rodents Distribution Projections from 2021 to 2100 under Diverse SSP-RCP Scenarios
منشور في 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). …"