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20042026
most citedOn the range of validity of the autoregressive sieve bootstrap

112 citations · 277 across the 35 of their papers we have counts for

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Showing 2021Show all

5 papers · 1 filter

stat.ME2021★ 1 cited

Model-free Bootstrap Prediction Regions for Multivariate Time Series

Yiren Wang, Dimitris N. Politis

In Das and Politis(2020), a model-free bootstrap(MFB) paradigm was proposed for generating prediction intervals of univariate, (locally) stationary time series. Theoretical guarant…

math.ST2021

Scalable subsampling: computation, aggregation and inference

Dimitris N. Politis

Subsampling is a general statistical method developed in the 1990s aimed at estimating the sampling distribution of a statistic in order to conduct nonparametric inferen…

math.ST2021

Debiased and threshold ridge regression for linear model with heteroskedastic and dependent error

Yunyi Zhang, Dimitris N. Politis

Focusing on a high dimensional linear model with dependent, non-stationary, and heteroskedastic errors, this paper applies the debiased and threshold ridge regression m…

math.ST2021

Simultaneous Statistical Inference for Second Order Parameters of Time Series under Weak Conditions

Yunyi Zhang, Efstathios Paparoditis, Dimitris N. Politis

Strict stationarity is a common assumption used in the time series literature in order to derive asymptotic distributional results for second-order statistics, like sample autocova…

math.ST2021★ 2 cited

Model-free Bootstrap and Conformal Prediction in Regression: Conditionality, Conjecture Testing, and Pertinent Prediction Intervals

Yiren Wang, Dimitris N. Politis

Predictive inference under a general regression setting is gaining more interest in the big-data era. In terms of going beyond point prediction to develop prediction intervals, two…