no code implementations • 8 Mar 2024 • M Sabbir Salek, Mugdha Basu Thakur, Pardha Sai Krishna Ala, Mashrur Chowdhury, Matthias Schmid, Pamela Murray-Tuite, Sakib Mahmud Khan, Venkat Krovi
Automated vehicle (AV) platooning has the potential to improve the safety, operational, and energy efficiency of surface transportation systems by limiting or eliminating human involvement in the driving tasks.
no code implementations • 21 Oct 2022 • Saeed Maleki, John Crassidis, Yang Cheng, Matthias Schmid
First, the optimization framework is formulated for the pose estimation problem with observation vectors extracted from unit vectors from the camera center-of-projection, pointing towards the image features.
no code implementations • 14 Sep 2022 • Cynthia Huber, Matthias Schmid, Tim Friede
We propose MOB for discrete Survival data (MOB-dS) which controls the type I error rate of the test used for data splitting and therefore the rate of identifying subgroups although none is present.
no code implementations • 27 Feb 2017 • Andreas Mayr, Benjamin Hofner, Elisabeth Waldmann, Tobias Hepp, Olaf Gefeller, Matthias Schmid
Statistical boosting algorithms have triggered a lot of research during the last decade.
1 code implementation • 30 Nov 2016 • Janek Thomas, Andreas Mayr, Bernd Bischl, Matthias Schmid, Adam Smith, Benjamin Hofner
We apply this new algorithm to a study to estimate abundance of common eider in Massachusetts, USA, featuring excess zeros, overdispersion, non-linearity and spatio-temporal structures.
1 code implementation • 9 Sep 2016 • Elisabeth Waldmann, David Taylor-Robinson, Nadja Klein, Thomas Kneib, Tania Pressler, Matthias Schmid, Andreas Mayr
Joint Models for longitudinal and time-to-event data have gained a lot of attention in the last few years as they are a helpful technique to approach common a data structure in clinical studies where longitudinal outcomes are recorded alongside event times.
no code implementations • 11 Jul 2015 • Matthias Schmid, Marvin Wright, Andreas Ziegler
In simulation studies and with the help of two medical data sets we demonstrate that the accuracy of RSF predictions, as measured by Harrell's C, can be improved if the log-rank statistic is replaced by the C index for node splitting.
1 code implementation • 6 Mar 2014 • Andreas Mayr, Harald Binder, Olaf Gefeller, Matthias Schmid
This review article attempts to highlight this evolution of boosting algorithms from machine learning to statistical modelling.
Methodology
no code implementations • 24 Jul 2013 • Andreas Mayr, Matthias Schmid
The development of molecular signatures for the prediction of time-to-event outcomes is a methodologically challenging task in bioinformatics and biostatistics.