activity
20162018
most citedRobust Identification of Target Genes and Outliers in Triple-negative Breast Cancer Data

27 citations · 44 across the 5 of their papers we have counts for

collaborators

5 papers

stat.AP2018★ 27 cited

Robust Identification of Target Genes and Outliers in Triple-negative Breast Cancer Data

Pieter Segaert, Marta B. Lopes, Sandra Casimiro +2

Correct classification of breast cancer sub-types is of high importance as it directly affects the therapeutic options. We focus on triple-negative breast cancer (TNBC) which has t…

stat.AP2018

Multivariate Constrained Robust M-Regression for Shaping Forward Curves in Electricity Markets

Peter Leoni, Pieter Segaert, Sven Serneels +1

In this paper, a multivariate constrained robust M-regression (MCRM) method is developed to estimate shaping coefficients for electricity forward prices. An important benefit of th…

stat.AP2017★ 3 cited

Analysis of travel activity determinants using robust statistics

Václav Plevka, Pieter Segaert, Chris M. J. Tampère +1

This study investigates travel behavior determinants based on a multiday travel survey conducted in the region of Ghent, Belgium. Due to the limited data reliability of the data sa…

stat.ME2017★ 11 cited

Robust bootstrap procedures for the chain-ladder method

Kris Peremans, Pieter Segaert, Stefan Van Aelst +1

Insurers are faced with the challenge of estimating the future reserves needed to handle historic and outstanding claims that are not fully settled. A well-known and widely used te…

stat.ME2016★ 3 cited

Finding Outliers in Surface Data and Video

Mia Hubert, Jakob Raymaekers, Peter J. Rousseeuw +1

Surface, image and video data can be considered as functional data with a bivariate domain. To detect outlying surfaces or images, a new method is proposed based on the mean and th…