Pages that link to "Item:Q5229921"

The following pages link to Information-Based Optimal Subdata Selection for Big Data Linear Regression (Q5229921):

Displaying 35 items.

• A model robust subsampling approach for generalised linear models in big data settings (Q6080693) (← links)
• Sketched approximation of regularized canonical correlation analysis (Q6096168) (← links)
• Subdata selection based on orthogonal array for big data (Q6115034) (← links)
• Generalized linear models for massive data via doubly-sketching (Q6117016) (← links)
• Optimal sampling designs for multidimensional streaming time series with application to power grid sensor data (Q6138630) (← links)
• Subsampling in longitudinal models (Q6164867) (← links)
• Distributed sequential estimation procedures (Q6490398) (← links)
• Unweighted estimation based on optimal sample under measurement constraints (Q6490399) (← links)
• Optimal subsampling for modal regression in massive data (Q6536764) (← links)
• Entropy-based subsampling methods for big data (Q6537380) (← links)
• Emerging directions in Bayesian computation (Q6540230) (← links)
• Optimal subsampling for the Cox proportional hazards model with massive survival data (Q6541937) (← links)
• A note on centering in subsample selection for linear regression (Q6544023) (← links)
• A review on design inspired subsampling for big data (Q6549149) (← links)
• Approximating Partial Likelihood Estimators via Optimal Subsampling (Q6552553) (← links)
• Deterministic subsampling for logistic regression with massive data (Q6567421) (← links)
• Robust optimal subsampling based on weighted asymmetric least squares (Q6579422) (← links)
• A novel residual subsampling method for skew-normal mode regression model with massive data (Q6579762) (← links)
• Robust and efficient subsampling algorithms for massive data logistic regression (Q6579821) (← links)
• Poisson subsampling-based estimation for growing-dimensional expectile regression in massive data (Q6581668) (← links)
• Distributed optimal subsampling for quantile regression with massive data (Q6592801) (← links)
• Optimal Poisson subsampling for softmax regression (Q6594939) (← links)
• A distance metric-based space-filling subsampling method for nonparametric models (Q6595793) (← links)
• Distributed subsampling for multiplicative regression (Q6606960) (← links)
• The COR criterion for optimal subset selection in distributed estimation (Q6606963) (← links)
• On the inversion-free Newton's method and its applications (Q6612368) (← links)
• A selective review on statistical methods for massive data computation: distributed computing, subsampling, and minibatch techniques (Q6620576) (← links)
• Feature Screening for Massive Data Analysis by Subsampling (Q6621001) (← links)
• Sampling-based estimation for massive survival data with additive hazards model (Q6627898) (← links)
• SPlit: An Optimal Method for Data Splitting (Q6631056) (← links)
• Density Regression with Conditional Support Points (Q6631080) (← links)
• A Subsampling Method for Regression Problems Based on Minimum Energy Criterion (Q6631125) (← links)
• Efficient Model-Free Subsampling Method for Massive Data (Q6631202) (← links)
• Core-elements for large-scale least squares estimation (Q6643225) (← links)
• Optimal Subsampling via Predictive Inference (Q6651388) (← links)