2 papers
stat.ML2021
Deep learning for detecting bid rigging: Flagging cartel participants based on convolutional neural networks
Martin Huber, David Imhof
Adding to the literature on the data-driven detection of bid-rigging cartels, we propose a novel approach based on deep learning (a subfield of artificial intelligence) that flags…
econ.EM2020
A Machine Learning Approach for Flagging Incomplete Bid-rigging Cartels
Hannes Wallimann, David Imhof, Martin Huber
We propose a new method for flagging bid rigging, which is particularly useful for detecting incomplete bid-rigging cartels. Our approach combines screens, i.e. statistics derived…