6 problems

Stochastic rounding schemes assign offspring counts with the stated floor-and-ceiling probabilities; systematic resampling is one such scheme and closely resembles stratified resam…

The paper studies higher-order bias corrections for conditional quantile regression estimators and develops Bahadur–Kiefer expansions for comparing resampling procedures. Resamplin…

Consider a linear regression model with many covariates and heteroskedasticity. Let $\tilde{u}_{i,n}^{2}$ denote the bias-corrected squared residuals introduced in Remark 1, and le…

Consider linear regression models with many covariates and heteroskedastic errors, and let $K_n$ denote the number of covariates and $n$ the sample size. Resampling procedures incl…

Let RP denote resampling penalization, let $W$ be an exchangeable resampling weight, and let $C_W$ denote the corresponding weight-dependent quantity. A model-selection procedure i…

Let $(X_i,Y_i)_{1\leq i\leq n}$ be i.i.d. observations in a heteroscedastic regression model, and let resampling penalization (RP) select among statistical models. In the paper's r…