Pages that link to "Item:Q5214224"

The following pages link to More efficient estimation for logistic regression with optimal subsamples (Q5214224):

Displaying 38 items.

• Distributed subdata selection for big data via sampling-based approach (Q830596) (← links)
• Optimal subsampling for large-scale quantile regression (Q1996884) (← links)
• Optimal designs for model averaging in non-nested models (Q2051020) (← links)
• Optimal subsampling for composite quantile regression in big data (Q2093142) (← links)
• Optimal subsampling for least absolute relative error estimators with massive data (Q2099270) (← links)
• Subdata selection algorithm for linear model discrimination (Q2110346) (← links)
• Robust active learning with binary responses (Q2123274) (← links)
• Optimal subsample selection for massive logistic regression with distributed data (Q2135922) (← links)
• Functional principal subspace sampling for large scale functional data analysis (Q2137809) (← links)
• Inversion-free subsampling Newton's method for large sample logistic regression (Q2151694) (← links)
• Optimal subsampling for composite quantile regression model in massive data (Q2165835) (← links)
• Crawling subsampling for multivariate spatial autoregression model in large-scale networks (Q2233551) (← links)
• Optimal subsampling for softmax regression (Q2423180) (← links)
• Randomized Spectral Clustering in Large-Scale Stochastic Block Models (Q5057098) (← links)
• (Q5177364) (← links)
• Alternating logistic regressions with improved finite sample properties (Q5283335) (← links)
• Optimal subsampling for multiplicative regression with massive data (Q6068048) (← links)
• A model robust subsampling approach for generalised linear models in big data settings (Q6080693) (← links)
• Subsampling and Jackknifing: A Practically Convenient Solution for Large Data Analysis With Limited Computational Resources (Q6092959) (← links)
• Communication-efficient distributed estimation of partially linear additive models for large-scale data (Q6126675) (← links)
• Post-selection Inference of High-dimensional Logistic Regression Under Case–Control Design (Q6149873) (← links)
• Optimal subsampling for functional quantile regression (Q6201371) (← 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)
• Approximating Partial Likelihood Estimators via Optimal Subsampling (Q6552553) (← links)
• Deterministic subsampling for logistic regression with massive data (Q6567421) (← 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)
• Optimal Poisson subsampling for softmax regression (Q6594939) (← 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)
• A Subsampling Method for Regression Problems Based on Minimum Energy Criterion (Q6631125) (← links)
• Efficient Model-Free Subsampling Method for Massive Data (Q6631202) (← links)
• Optimal Poisson subsampling decorrelated score for high-dimensional generalized linear models (Q6662587) (← links)