Pages that link to "Item:Q5881082"

The following pages link to Optimal Distributed Subsampling for Maximum Quasi-Likelihood Estimators With Massive Data (Q5881082):

Displaying 33 items.

• Efficient distribution estimation for data with unobserved sub-population identifiers (Q1950837) (← links)
• Optimal subsampling for large-scale quantile regression (Q1996884) (← links)
• Optimal subsampling for least absolute relative error estimators with massive data (Q2099270) (← links)
• Model-free global likelihood subsampling for massive data (Q2104012) (← links)
• Optimal subsample selection for massive logistic regression with distributed data (Q2135922) (← links)
• Smoothing Splines Approximation Using Hilbert Curve Basis Selection (Q5057090) (← links)
• LowCon: A Design-based Subsampling Approach in a Misspecified Linear Model (Q5066455) (← links)
• Fast Calibration for Computer Models with Massive Physical Observations (Q6062240) (← links)
• Optimal subsampling for multiplicative regression with massive data (Q6068048) (← links)
• Subsampling spectral clustering for stochastic block models in large-scale networks (Q6071693) (← links)
• Subsampling and Jackknifing: A Practically Convenient Solution for Large Data Analysis With Limited Computational Resources (Q6092959) (← 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)
• 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)
• 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)
• Emerging directions in Bayesian computation (Q6540230) (← 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)
• 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 subsampling for multiplicative regression (Q6606960) (← links)
• The COR criterion for optimal subset selection in distributed estimation (Q6606963) (← links)
• A selective review on statistical methods for massive data computation: distributed computing, subsampling, and minibatch techniques (Q6620576) (← links)
• Distributed hypothesis testing for large dimensional two-sample mean vectors (Q6643222) (← links)
• Core-elements for large-scale least squares estimation (Q6643225) (← links)
• Optimal Poisson subsampling decorrelated score for high-dimensional generalized linear models (Q6662587) (← links)