Pages that link to "Item:Q2189103"
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The following pages link to Information-based optimal subdata selection for big data logistic regression (Q2189103):
Displaying 17 items.
- A sequential regression model for big data with attributive explanatory variables (Q259121) (← links)
- Distributed subdata selection for big data via sampling-based approach (Q830596) (← links)
- An effective procedure for feature subset selection in logistic regression based on information criteria (Q2044566) (← links)
- Model-robust subdata selection for big data (Q2063875) (← links)
- Subdata selection algorithm for linear model discrimination (Q2110346) (← links)
- Divide-and-conquer information-based optimal subdata selection algorithm (Q2321778) (← links)
- Optimal subsampling for softmax regression (Q2423180) (← links)
- Information-based optimal subdata selection for non-linear models (Q6080687) (← links)
- A model robust subsampling approach for generalised linear models in big data settings (Q6080693) (← links)
- Unweighted estimation based on optimal sample under measurement constraints (Q6490399) (← links)
- Optimal subsampling for modal regression in massive data (Q6536764) (← links)
- Optimal subsampling for the Cox proportional hazards model with massive survival data (Q6541937) (← links)
- A review on design inspired subsampling for big data (Q6549149) (← links)
- Deterministic subsampling for logistic regression with massive data (Q6567421) (← links)
- A novel residual subsampling method for skew-normal mode regression model with massive data (Q6579762) (← links)
- Distributed optimal subsampling for quantile regression with massive data (Q6592801) (← links)
- Density Regression with Conditional Support Points (Q6631080) (← links)