The JASP guidelines for conducting and reporting a Bayesian analysis J Van Doorn, D Van Den Bergh, U Böhm, F Dablander, K Derks, T Draws, ... Psychonomic Bulletin & Review 28, 813-826, 2021 | 847 | 2021 |
A tutorial on conducting and interpreting a Bayesian ANOVA in JASP D van den Bergh, J Van Doorn, M Marsman, T Draws, EJ Van Kesteren, ... L’Année psychologique 120 (1), 73-96, 2020 | 275 | 2020 |
A conceptual introduction to Bayesian model averaging M Hinne, QF Gronau, D van den Bergh, EJ Wagenmakers Advances in Methods and Practices in Psychological Science 3 (2), 200-215, 2020 | 274* | 2020 |
Node centrality measures are a poor substitute for causal inference F Dablander, M Hinne Scientific reports 9 (1), 6846, 2019 | 152 | 2019 |
Structurally-informed Bayesian functional connectivity analysis M Hinne, L Ambrogioni, RJ Janssen, T Heskes, MAJ van Gerven NeuroImage 86, 294-305, 2014 | 57 | 2014 |
Wasserstein variational inference L Ambrogioni, U Güçlü, Y Güçlütürk, M Hinne, MA van Gerven, E Maris Advances in Neural Information Processing Systems 31, 2018 | 52 | 2018 |
Bayesian inference of structural brain networks M Hinne, T Heskes, CF Beckmann, MAJ van Gerven NeuroImage 66, 543-552, 2013 | 41 | 2013 |
Automatic structured variational inference L Ambrogioni, K Lin, E Fertig, S Vikram, M Hinne, D Moore, M van Gerven International Conference on Artificial Intelligence and Statistics, 676-684, 2021 | 31 | 2021 |
The Bayesian Methodology of Sir Harold Jeffreys as a Practical Alternative to the P Value Hypothesis Test A Ly, A Stefan, J van Doorn, F Dablander, D van den Bergh, A Sarafoglou, ... Computational Brain & Behavior 3, 153-161, 2020 | 31 | 2020 |
Validation of structural brain connectivity networks: The impact of scanning parameters KS Ambrosen, SF Eskildsen, M Hinne, K Krug, H Lundell, MN Schmidt, ... Neuroimage 204, 116207, 2020 | 30 | 2020 |
Probabilistic clustering of the human connectome identifies communities and hubs M Hinne, M Ekman, RJ Janssen, T Heskes, M van Gerven PLoS ONE 10 (1), e0117179, 2015 | 29 | 2015 |
Between-subject variability in the influence of mental imagery on conscious perception N Dijkstra, M Hinne, SE Bosch, MAJ Van Gerven Scientific reports 9 (1), 15658, 2019 | 26 | 2019 |
Reliability and validity of query intent assessments S Verberne, M van der Heijden, M Hinne, M Sappelli, S Koldijk, ... Journal of the American Society for Information Science and Technology 64 …, 2013 | 26 | 2013 |
Resting-state subcortical functional connectivity in HIV-infected patients on long-term cART MAM Janssen, M Hinne, RJ Janssen, MA van Gerven, SC Steens, B Góraj, ... Brain Imaging and Behavior 11, 1555-1560, 2017 | 25 | 2017 |
Bayesian estimation of conditional independence graphs improves functional connectivity estimates M Hinne, RJ Janssen, T Heskes, MAJ van Gerven PLoS Computational Biology 11 (11), e1004534, 2015 | 21 | 2015 |
Forward amortized inference for likelihood-free variational marginalization L Ambrogioni, U Güçlü, J Berezutskaya, E Borne, Y Güçlütürk, M Hinne, ... The 22nd International Conference on Artificial Intelligence and Statistics …, 2019 | 19 | 2019 |
PhenoScore quantifies phenotypic variation for rare genetic diseases by combining facial analysis with other clinical features using a machine-learning framework AJM Dingemans, M Hinne, KMG Truijen, L Goltstein, J Van Reeuwijk, ... Nature Genetics 55 (9), 1598-1607, 2023 | 17 | 2023 |
GP CaKe: Effective brain connectivity with causal kernels L Ambrogioni, M Hinne, M Van Gerven, E Maris Advances in Neural Information Processing Systems 30, 2017 | 16 | 2017 |
Highways to happiness for autistic adults? Perceived causal relations among clinicians MK Deserno, D Borsboom, S Begeer, R van Bork, M Hinne, HM Geurts Plos one 15 (12), e0243298, 2020 | 15 | 2020 |
DeNovoCNN: a deep learning approach to de novo variant calling in next generation sequencing data G Khazeeva, K Sablauskas, B van der Sanden, W Steyaert, M Kwint, ... Nucleic Acids Research, 2022 | 14 | 2022 |