Scalable subsampling: computation, aggregation and inference
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[1] Leo Breiman,et al. Bagging Predictors , 1996, Machine Learning.
[2] D. Politis,et al. Time Series: A First Course with Bootstrap Starter , 2019 .
[3] F. Götze,et al. RESAMPLING FEWER THAN n OBSERVATIONS: GAINS, LOSSES, AND REMEDIES FOR LOSSES , 2012 .
[4] N. Lin,et al. Fast surrogates of U-statistics , 2010, Comput. Stat. Data Anal..
[5] Srijan Sengupta,et al. A Subsampled Double Bootstrap for Massive Data , 2015, 1508.01126.
[6] J. Swanepoel. A note on proving that the (modified) bootstrap works , 1986 .
[7] Martin J. Wainwright,et al. Communication-efficient algorithms for statistical optimization , 2012, 2012 IEEE 51st IEEE Conference on Decision and Control (CDC).
[8] F. Götze,et al. Adaptive choice of bootstrap sample sizes , 2001 .
[9] Stéphan Clémençon,et al. Empirical Processes in Survey Sampling with (Conditional) Poisson Designs , 2017 .
[10] Joseph P. Romano,et al. Large Sample Confidence Regions Based on Subsamples under Minimal Assumptions , 1994 .
[11] David Hinkley,et al. Bootstrap Methods: Another Look at the Jackknife , 2008 .
[12] R. Tibshirani. Regression Shrinkage and Selection via the Lasso , 1996 .
[13] Minge Xie,et al. A Split-and-Conquer Approach for Analysis of Extraordinarily Large Data , 2014 .
[14] Purnamrita Sarkar,et al. A scalable bootstrap for massive data , 2011, 1112.5016.
[15] Jelena Bradic. Randomized maximum-contrast selection: subagging for large-scale regression , 2013, 1306.3494.
[16] D. Freedman,et al. Some Asymptotic Theory for the Bootstrap , 1981 .
[17] Liuhua Peng,et al. Distributed statistical inference for massive data , 2018, The Annals of Statistics.
[18] Murray Rosenblatt,et al. Stochastic Curve Estimation , 1991 .
[19] HaiYing Wang,et al. A Review on Optimal Subsampling Methods for Massive Datasets , 2021, Journal of Data Science.
[20] J. Bretagnolle,et al. Lois limites du Bootstrap de certaines fonctionnelles , 1983 .
[21] P. Bickel,et al. ON THE CHOICE OF m IN THE m OUT OF n BOOTSTRAP AND CONFIDENCE BOUNDS FOR EXTREMA , 2008 .
[22] P. Bühlmann,et al. Analyzing Bagging , 2001 .