• Article  

      Bootstrap technology and applications 

      Lbger, C.; Politis, Dimitris Nicolas; Romano, J. P. (1992)
      Bootstrap resampling methods have emerged as powerful tools for constructing inferential procedures in modern statistical data analysis. Although these methods depend on the availability of fast, inexpensive computing, ...
    • Article  

      Heteroscedastic one-way ANOVA and lack-of-fit tests 

      Akritas, Michael G.; Papadatos, Nickos (2004)
      Recent articles have considered the asymptotic behavior of the one-way analysis of variance (ANOVA) F statistic when the number of levels or groups is large. In these articles, the results were obtained under the assumption ...
    • Article  

      Local block bootstrap inference for trending time series 

      Dowla, A.; Paparoditis Efstathios, E.; Politis, Dimitris Nicolas (2013)
      Resampling for stationary sequences has been well studied in the last couple of decades. In the paper at hand, we focus on nonstationary time series data where the nonstationarity is due to a slowly-changing deterministic ...
    • Article  

      Local block bootstrap inference for trending time seriesAAA 

      Dowla, A.; Paparoditis Efstathios, E.; Politis, Dimitris Nicolas (2013)
      Resampling for stationary sequences has been well studied in the last couple of decades. In the paper at hand, we focus on nonstationary time series data where the nonstationarity is due to a slowly-changing deterministic ...
    • Article  

      Model-free model-fitting and predictive distributions 

      Politis, Dimitris Nicolas (2013)
      The problem of prediction is revisited with a view towards going beyond the typical nonparametric setting and reaching a fully model-free environment for predictive inference, i.e., point predictors and predictive intervals. ...
    • Book  

      Nonparametric predictive regression 

      Kasparis, Ioannis; Andreou, Elena; Phillips, Peter C. B. (2012)
    • Article  

      Robust Autocorrelation Estimation 

      Chang, Christopher C.; Politis, Dimitris Nicolas (2016)
      In this article, we introduce a new class of robust autocorrelation estimators based on interpreting the sample autocorrelation function as a linear regression. We investigate the efficiency and robustness properties of ...