Pages that link to "Item:Q830596"
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The following pages link to Distributed subdata selection for big data via sampling-based approach (Q830596):
Displaying 18 items.
- Selective priorities in processing of big data (Q1716113) (← links)
- Model-robust subdata selection for big data (Q2063875) (← links)
- Subdata selection algorithm for linear model discrimination (Q2110346) (← links)
- Information-based optimal subdata selection for big data logistic regression (Q2189103) (← links)
- Optimal subsampling for multiplicative regression with massive data (Q6068048) (← links)
- Communication-efficient estimation for distributed subset selection (Q6089198) (← links)
- Optimal sampling algorithms for block matrix multiplication (Q6100583) (← links)
- Communication-efficient distributed estimation of partially linear additive models for large-scale data (Q6126675) (← links)
- Optimal decorrelated score subsampling for generalized linear models with massive data (Q6151833) (← links)
- Communication‐efficient low‐dimensional parameter estimation and inference for high‐dimensional Lp$$ {L}^p $$‐quantile regression (Q6196804) (← links)
- Unweighted estimation based on optimal sample under measurement constraints (Q6490399) (← links)
- Optimal subsampling for modal regression in massive data (Q6536764) (← links)
- A review on design inspired subsampling for big data (Q6549149) (← links)
- Approximating Partial Likelihood Estimators via Optimal Subsampling (Q6552553) (← links)
- Distributed optimal subsampling for quantile regression with massive data (Q6592801) (← links)
- The COR criterion for optimal subset selection in distributed estimation (Q6606963) (← links)
- Sampling-based estimation for massive survival data with additive hazards model (Q6627898) (← links)
- Optimal Poisson subsampling decorrelated score for high-dimensional generalized linear models (Q6662587) (← links)
