Seminar for Statistics

output

20072022

most citedMissForest - nonparametric missing value imputation for mixed-type data

6.4k citations

researchers with a paper here

Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.

collaborating institutions

Showing 2020Show all

4 papers · 1 filter

stat.ME2020★ 2 cited

Seeded intervals and noise level estimation in change point detection: A discussion of Fryzlewicz (2020)

Solt Kovács, Housen Li, Peter Bühlmann

In this discussion, we compare the choice of seeded intervals and that of random intervals for change point segmentation from practical, statistical and computational perspectives.…

math.ST2020

On the robustness of the minimum $ℓ_{2}$ interpolator

Geoffrey Chinot, Matthieu Lerasle

We analyse the interpolator with minimal $ℓ_{2}$ -norm $β^$ in a general high dimensional linear regression framework where $Y = X β^{*} + ξ$ where $X$ is a ran…

stat.ME2020★ 77 cited

Seeded Binary Segmentation: A general methodology for fast and optimal change point detection

Solt Kovács, Housen Li, Peter Bühlmann +1

In recent years, there has been an increasing demand on efficient algorithms for large scale change point detection problems. To this end, we propose seeded binary segmentation, an…

math.ST2020★ 6 cited

Profile least squares estimators in the monotone single index model

Fadoua Balabdaoui, Piet Groeneboom

We consider least squares estimators of the finite regression parameter $α$ in the single index regression model $Y = ψ (α^{T} X) + ε$ , where $X$ is a $d$ -dimensional random vector, $\E(Y…

Seeded intervals and noise level estimation in change point detection: A discussion of Fryzlewicz (2020)

On the robustness of the minimum ℓ2​ interpolator

Seeded Binary Segmentation: A general methodology for fast and optimal change point detection

Profile least squares estimators in the monotone single index model

On the robustness of the minimum $ℓ_{2}$ interpolator