Pages that link to "Item:Q5088236"
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The following pages link to A Scalable Bootstrap for Massive Data (Q5088236):
Displaying 50 items.
- Big data naturally rescaled (Q528317) (← links)
- Multiple graph regularized graph transduction via greedy gradient Max-Cut (Q781050) (← links)
- The future of statistics and data science (Q1642377) (← links)
- Distributed testing and estimation under sparse high dimensional models (Q1650081) (← links)
- Principles of experimental design for big data analysis (Q1750251) (← links)
- Gap bootstrap methods for massive data sets with an application to transportation engineering (Q1940003) (← links)
- High-dimensional integrative analysis with homogeneity and sparsity recovery (Q2008216) (← links)
- A MOM-based ensemble method for robustness, subsampling and hyperparameter tuning (Q2044333) (← links)
- Distributed statistical inference for massive data (Q2054533) (← links)
- Distributed adaptive Gaussian mean estimation with unknown variance: interactive protocol helps adaptation (Q2091825) (← links)
- Subdata selection algorithm for linear model discrimination (Q2110346) (← links)
- A split-and-conquer variable selection approach for high-dimensional general semiparametric models with massive data (Q2111067) (← links)
- Distributed nonparametric function estimation: optimal rate of convergence and cost of adaptation (Q2131252) (← links)
- Statistical inference in massive datasets by empirical likelihood (Q2155010) (← links)
- Information-based optimal subdata selection for big data logistic regression (Q2189103) (← links)
- Online updating method to correct for measurement error in big data streams (Q2189602) (← links)
- Adaptive distributed methods under communication constraints (Q2215741) (← links)
- Testing multivariate quantile by empirical likelihood (Q2222231) (← links)
- Bayesian bootstraps for massive data (Q2226685) (← links)
- A partitioned quasi-likelihood for distributed statistical inference (Q2228213) (← links)
- Randomized incomplete \(U\)-statistics in high dimensions (Q2284368) (← links)
- Quantile regression under memory constraint (Q2284373) (← links)
- Computing confidence intervals from massive data via penalized quantile smoothing splines (Q2291323) (← links)
- Distributed simultaneous inference in generalized linear models via confidence distribution (Q2293540) (← links)
- A scalable nonparametric specification testing for massive data (Q2317283) (← links)
- Projected spline estimation of the nonparametric function in high-dimensional partially linear models for massive data (Q2328064) (← links)
- A random forest guided tour (Q2629364) (← links)
- Distributed function estimation: adaptation using minimal communication (Q2694726) (← links)
- Analyzing large datasets with bootstrap penalization (Q2980232) (← links)
- A Massive Data Framework for M-Estimators with Cubic-Rate (Q3121561) (← links)
- Scalable Bayesian Nonparametric Clustering and Classification (Q3391447) (← links)
- Can we trust the bootstrap in high-dimension? (Q4558141) (← links)
- Composite quantile regression for massive datasets (Q4580023) (← links)
- (Q4637029) (← links)
- Robust and Scalable Bayes via a Median of Subset Posterior Measures (Q4637048) (← links)
- Scatter matrix concordance as a diagnostic for regressions on subsets of data (Q4970196) (← links)
- Partitioned Approach for High-dimensional Confidence Intervals with Large Split Sizes (Q5037796) (← links)
- Making Recursive Bayesian Inference Accessible (Q5056965) (← links)
- Method G: Uncertainty Quantification for Distributed Data Problems Using Generalized Fiducial Inference (Q5066479) (← links)
- Online Updating of Survival Analysis (Q5066501) (← links)
- Feasible algorithm for linear mixed model for massive data (Q5084778) (← links)
- Communication-Efficient Distributed Linear Discriminant Analysis for Binary Classification (Q5089448) (← links)
- <i>i</i>Fusion: Individualized Fusion Learning (Q5120662) (← links)
- Combining Multiple Observational Data Sources to Estimate Causal Effects (Q5120690) (← links)
- More efficient estimation for logistic regression with optimal subsamples (Q5214224) (← links)
- Nonparametric Bayesian Aggregation for Massive Data (Q5214232) (← links)
- Communication-Efficient Distributed Statistical Inference (Q5231495) (← links)
- A review of distributed statistical inference (Q5880109) (← links)
- Discussion on ‘A review of distributed statistical inference’ (Q5880111) (← links)
- An adaptive lack of fit test for big data (Q5880165) (← links)
