Max Hinne

Radboud University Nijmegen — Netherlands

Neuroscience · Life Sciences

19h-index2.8kcitations81works1.92yr avg
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Research Topics

Functional Brain Connectivity Studies(20), Statistical Methods and Inference(12), Gaussian Processes and Bayesian Inference(10), Neural dynamics and brain function(9), Mental Health Research Topics(9)

Publications80 total

Optimal Control of Probabilistic Dynamics Models via Mean Hamiltonian Minimization
2025
Dynamic functional brain connectivity results depend on modeling assumptions: comparing frequentist and Bayesian hypothesis tests
arXiv (Cornell University)·2025Open Access
Automated Discovery of Laser Dicing Processes with Bayesian Optimization for Semiconductor Manufacturing
arXiv (Cornell University)·2025Open Access
Bamojax: Bayesian Modelling with JAX
The Journal of Open Source Software·2025Open Access
Optimal Control of Probabilistic Dynamics Models via Mean Hamiltonian Minimization
arXiv (Cornell University)·2025Open Access
An introduction to Sequential Monte Carlo for Bayesian inference and model comparison—with examples for psychology and behavioral science
Behavior Research Methods·2025· 3 citedOpen Access
An introduction to Sequential Monte Carlo for Bayesian inference and model comparison -- with examples for psychology and behavioural science
2025Open Access
Predicting Self-regulated Learning Support Needs During Learning
Lecture notes in computer science·2025
An introduction to Sequential Monte Carlo for Bayesian inference and model comparison -- with examples for psychology and behavioural science
2024Open Access
Robust Inference of Dynamic Covariance Using Wishart Processes and Sequential Monte Carlo
Entropy·2024· 1 citedOpen Access
Robust Inference of Dynamic Covariance Using Wishart Processes and Sequential Monte Carlo
arXiv (Cornell University)·2024Open Access
Non-Gaussian normative modelling with hierarchical Bayesian regression
Imaging Neuroscience·2024· 19 citedOpen Access
Individual differences in processing speed and curiosity explain infant habituation and dishabituation performance
Developmental Science·2023· 16 citedOpen Access
PhenoScore quantifies phenotypic variation for rare genetic diseases by combining facial analysis with other clinical features using a machine-learning framework
Nature Genetics·2023· 67 citedOpen Access
Individual differences in processing speed and curiosity explain infant habituation and dishabituation performance
2023Open Access
Eight-Month-Old Infants Meta-Learn by Downweighting Irrelevant Evidence
Open Mind·2023· 15 citedOpen Access
PhenoScore: AI-based phenomics to quantify rare disease and genetic variation
2022· 5 citedOpen Access
Non-Gaussian Normative Modelling With Hierarchical Bayesian Regression
2022· 12 citedOpen Access
Comparing facial feature extraction methods in the diagnosis of rare genetic syndromes
2022· 4 citedOpen Access
Bayesian model averaging for nonparametric discontinuity design
PLoS ONE·2022Open Access
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Frequent Co-authors

Marcel van Gerven(24), Don van den Bergh(9), Quentin F. Gronau(9), Eric‐Jan Wagenmakers(9), Fabian Dablander(8), Tom Heskes(8), Luca Ambrogioni(7), Johnny van Doorn(6), Koen Derks(6), Šimon Kucharský(6), Alexander Ly(6), Maarten Marsman(6), Dóra Matzke(6), Alexandra Sarafoglou(6), Angelika Marlene Stefan(6), Lisenka E.L.M. Vissers(5), Ronald J. Janssen(5), Suzan Verberne(5), Maarten van der Heijden(5), Wessel Kraaij(5)