Pages that link to "Item:Q5088236"

The following pages link to A Scalable Bootstrap for Massive Data (Q5088236):

Displaying 33 items.

• Optimal Distributed Subsampling for Maximum Quasi-Likelihood Estimators With Massive Data (Q5881082) (← links)
• Model Checking in Large-Scale Dataset via Structure-Adaptive-Sampling (Q6039876) (← links)
• Distributed inference for two‐sample <i>U</i>‐statistics in massive data analysis (Q6049782) (← links)
• Divide and conquer for accelerated failure time model with massive time‐to‐event data (Q6059453) (← links)
• Optimal subsampling for large‐sample quantile regression with massive data (Q6059454) (← links)
• Statistical Inference, Learning and Models in Big Data (Q6064668) (← links)
• Distributed penalized modal regression for massive data (Q6076832) (← links)
• CEDAR: Communication Efficient Distributed Analysis for Regressions (Q6079721) (← links)
• A model robust subsampling approach for generalised linear models in big data settings (Q6080693) (← links)
• Model aggregation for doubly divided data with large size and large dimension (Q6104430) (← links)
• New metrics and tests for subject prevalence in documents based on topic modeling (Q6114043) (← links)
• Generalized linear models for massive data via doubly-sketching (Q6117016) (← links)
• Confidence interval construction in massive data sets (Q6118230) (← links)
• Quantile varying-coefficient structural equation model (Q6122758) (← links)
• Distributed smoothed rank regression with heterogeneous errors for massive data (Q6124777) (← links)
• Communication-Efficient Accurate Statistical Estimation (Q6165287) (← links)
• Distributed estimation of functional linear regression with functional responses (Q6177660) (← links)
• A dynamic screening algorithm for hierarchical binary marketing data (Q6179130) (← links)
• Generalised likelihood profiles for models with intractable likelihoods (Q6190673) (← links)
• Optimal Subsampling Bootstrap for Massive Data (Q6190779) (← links)
• Imposing unsupervised constraints to the benefit-of-the-doubt (BoD) model (Q6195479) (← links)
• Testing heterogeneity in quantile regression: a multigroup approach (Q6538409) (← links)
• Robust and efficient subsampling algorithms for massive data logistic regression (Q6579821) (← links)
• Quantile-based PLS-SEM with bag of little bootstraps (Q6588681) (← links)
• Hierarchical Bayesian bootstrap for heterogeneous treatment effect estimation (Q6590276) (← links)
• A fast bootstrap algorithm for causal inference with large data (Q6615950) (← links)
• A selective review on statistical methods for massive data computation: distributed computing, subsampling, and minibatch techniques (Q6620576) (← links)
• A Note on Distributed Quantile Regression by Pilot Sampling and One-Step Updating (Q6620985) (← links)
• Feature Screening for Massive Data Analysis by Subsampling (Q6621001) (← links)
• Higher-order coverage errors of batching methods via Edgeworth expansions on \(t\)-statistics (Q6621527) (← links)
• A Subsampling Method for Regression Problems Based on Minimum Energy Criterion (Q6631125) (← links)
• Online updating Huber robust regression for big data streams (Q6633378) (← links)
• Distributed least product relative error estimation for semi-parametric multiplicative regression with massive data (Q6653433) (← links)