The research on statistical inference after data-driven model selection can be traced as far
back as Koopmans (1949). The intensive research on modern model selection methods for …

Classical tests for a difference in means control the Type I error rate when the groups are
defined a priori. However, when the groups are instead defined via clustering, then applying …

The graph fused lasso—which includes as a special case the one-dimensional fused lasso—
is widely used to reconstruct signals that are piecewise constant on a graph, meaning that …

We consider the problem of uncertainty quantification in change point regressions, where
the signal can be piecewise polynomial of arbitrary but fixed degree. That is we seek disjoint …

Quantifying uncertainty in detected changepoints is an important problem. However it is
challenging as the naive approach would use the data twice, first to detect the changes, and …

As it is difficult to classify and identify the actions caused by the distortion of radar signal
during acquisition process, this paper obtains the feature value of action signal through …

We present positive evidence of price stability of cryptocurrencies as a medium of exchange.
For the sample years from 2016 to 2020, the prices of major cryptocurrencies are found to be …

With the rapid advancement of technology, the amount of available data for extracting
intteresting insights and meaningful patterns has grown exponentially, resulting in a …

In modern data analysis, we often want to test for a difference in means between groups
selected based on the observed data. This is a challenging task: when the null hypothesis is …

The research on statistical inference after data-driven model selection can be traced as far
back as Koopmans (1949). The intensive research on modern model selection methods for …