1 code implementation • 6 Jun 2022 • Till Hoffmann, Jukka-Pekka Onnela
Extracting low-dimensional summary statistics from large datasets is essential for efficient (likelihood-free) inference.
1 code implementation • ESSOAr 2022 • Till Hoffmann, Sarah Bunney, Barbara Kasprzyk-Hordern, Andrew Singer
Wastewater catchment area data are essential for wastewater treatment capacity planning and have recently become critical for operationalising wastewater-based epidemiology (WBE) for COVID-19.
no code implementations • 12 May 2021 • Mariano Beguerisse-Díaz, Dimitrios Korkinof, Till Hoffmann
We also apply our approach to movie recommendation using publicly-available data to ensure the reproducibility of our results.
no code implementations • 19 Jan 2021 • Louis Raynal, Till Hoffmann, Jukka-Pekka Onnela
This approach reduced the computational cost by a factor of 50 without affecting classification accuracy.
1 code implementation • 12 Aug 2020 • Till Hoffmann, Nick S. Jones
How people connect with one another is a fundamental question in the social sciences, and the resulting social networks can have a profound impact on our daily lives.
Social and Information Networks Physics and Society Methodology
1 code implementation • 18 Aug 2018 • Till Hoffmann, Leto Peel, Renaud Lambiotte, Nick S. Jones
We develop a Bayesian hierarchical model to identify communities in networks for which we do not observe the edges directly, but instead observe a series of interdependent signals for each of the nodes.
1 code implementation • 10 Dec 2015 • Till Hoffmann, Nick S. Jones
We extend balloon and sample-smoothing estimators, two types of variable-bandwidth kernel density estimators, by a shift parameter and derive their asymptotic properties.
Methodology Statistics Theory Statistics Theory