most citedChange-point detection in panel data via double CUSUM statistic

148 citations · 377 across the 5 of their papers we have counts for

collaborators

5 papers

stat.ME201688 cited

High-dimensional variable selection via tilting

Haeran Cho, Piotr Fryzlewicz

The paper considers variable selection in linear regression models where the number of covariates is possibly much larger than the number of observations. High dimensionality of th…

stat.ME20168 cited

A test for second-order stationarity of time series based on unsystematic sub-samples

Haeran Cho

In this paper, we introduce a new method for testing the stationarity of time series, where the test statistic is obtained from measuring and maximising the difference in the secon…

stat.ME201623 cited

Multiscale interpretation of taut string estimation and its connection to Unbalanced Haar wavelets

Haeran Cho, Piotr Fryzlewicz

We compare two state-of-the-art non-linear techniques for nonparametric function estimation via piecewise constant approximation: the taut string and the Unbalanced Haar methods. W…

stat.ME2016110 cited

Modelling and forecasting daily electricity load curves: a hybrid approach

Haeran Cho, Yannig Goude, Xavier Brossat +1

We propose a hybrid approach for the modelling and the short-term forecasting of electricity loads. Two building blocks of our approach are (i) modelling the overall trend and seas…

stat.ME2016148 cited

Change-point detection in panel data via double CUSUM statistic

Haeran Cho

In this paper, we consider the problem of (multiple) change-point detection in panel data. We propose the double CUSUM statistic which utilises the cross-sectional change-point str…