The following pages link to (Q5004042):
Displaying 48 items.
- Optimal subsampling for composite quantile regression in big data (Q2093142) (← links)
- Optimal subsampling for least absolute relative error estimators with massive data (Q2099270) (← links)
- Optimal subsample selection for massive logistic regression with distributed data (Q2135922) (← links)
- A two-stage optimal subsampling estimation for missing data problems with large-scale data (Q2143025) (← links)
- Law of iterated logarithm and model selection consistency for generalized linear models with independent and dependent responses (Q2238062) (← links)
- A quasi-Monte Carlo data compression algorithm for machine learning (Q2238850) (← links)
- Optimal subsampling for softmax regression (Q2423180) (← links)
- Smoothing Splines Approximation Using Hilbert Curve Basis Selection (Q5057090) (← links)
- Optimal Sampling for Generalized Linear Models Under Measurement Constraints (Q5066420) (← links)
- LowCon: A Design-based Subsampling Approach in a Misspecified Linear Model (Q5066455) (← links)
- Online Updating of Survival Analysis (Q5066501) (← links)
- Model-Assisted Estimators with Auxiliary Functional Data (Q5095699) (← links)
- More efficient estimation for logistic regression with optimal subsamples (Q5214224) (← links)
- Model Checking in Large-Scale Dataset via Structure-Adaptive-Sampling (Q6039876) (← links)
- Optimal subsampling for large‐sample quantile regression with massive data (Q6059454) (← links)
- Fast Calibration for Computer Models with Massive Physical Observations (Q6062240) (← links)
- Optimal subsampling for multiplicative regression with massive data (Q6068048) (← 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)
- Model constraints independent optimal subsampling probabilities for softmax regression (Q6101697) (← links)
- Subdata selection based on orthogonal array for big data (Q6115034) (← links)
- Generalized linear models for massive data via doubly-sketching (Q6117016) (← links)
- A block-randomized stochastic method with importance sampling for CP tensor decomposition (Q6126539) (← links)
- Optimal decorrelated score subsampling for generalized linear models with massive data (Q6151833) (← links)
- Subsampling in longitudinal models (Q6164867) (← links)
- Analyzing Big EHR Data—Optimal Cox Regression Subsampling Procedure with Rare Events (Q6185494) (← links)
- Communication‐efficient low‐dimensional parameter estimation and inference for high‐dimensional Lp$$ {L}^p $$‐quantile regression (Q6196804) (← links)
- Optimal subsampling for functional quantile regression (Q6201371) (← links)
- Unweighted estimation based on optimal sample under measurement constraints (Q6490399) (← links)
- Subsampling approach for least squares fitting of semi-parametric accelerated failure time models to massive survival data (Q6494420) (← 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 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)
- 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)
- A selective review on statistical methods for massive data computation: distributed computing, subsampling, and minibatch techniques (Q6620576) (← links)
- Optimal subsampling for parametric accelerated failure time models with massive survival data (Q6629381) (← links)
- Core-elements for large-scale least squares estimation (Q6643225) (← links)
- Optimal subsampling for semi-parametric accelerated failure time models with massive survival data using a rank-based approach (Q6656330) (← links)
- Optimal Poisson subsampling decorrelated score for high-dimensional generalized linear models (Q6662587) (← links)
