Dr M. Hinne (Max)
Assistant professor - Artificial Intelligence
Assistant professor - Donders Centre for Cognition
Assistant professor - Donders Institute for Brain, Cognition and Behaviour
Thomas van Aquinostraat 4
6525 GD NIJMEGEN
6500 HE NIJMEGEN
Max Hinne is an assistant professor at the Donders Institute. His research focuses on understanding and predicting the behaviour of complex dynamic systems. Doing this in a nuanced, interpretable, and efficient way requires a probabilistic perspective, which plays a central role in his work. Max combines both the development of state-of-the-art analyses and their applications in domains such as network neuroscience and healthcare.
- Max Hinne, Quentin Gronau, Don van den Bergh and Eric-Jan Wagenmakers, 2020. A conceptual introduction to Bayesian model averaging. Advances in Methods and Practices in Psychological Science (AMPPS) 3(2), pp. 200-215. Full text
- Max Hinne, Ronald Janssen, Tom Heskes and Marcel van Gerven, 2015. Bayesian estimation of conditional independence graphs improves functional connectivity estimates. PLoS Computational Biology, 11(11), pp. e1004534. Full text
- Max Hinne, Matthias Ekman, Ronald Janssen, Tom Heskes and Marcel van Gerven, 2015. Probabilistic clustering of the human connectome identifies communities and hubs. PLoS ONE 10(1), pp. e0117179. Full text
- Max Hinne, Alex Lenkoski, Tom Heskes and Marcel van Gerven, 2014. Efficient sampling of Gaussian graphical models using conditional Bayes factors. Stat 3, pp. 326-336. Full text
- Fabian Dablander and Max Hinne, 2019. Node Centrality measures are a poor substitute for causal inference. Scientific Reports. 9:6846, pp. 1-10. Full text
Consultancy for Dasym Investment Strategies BV.
(01 January 2022)
Dasym Investment Strategies BV