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, 1-14, 2020 | 546 | 2020 |
A tutorial on bridge sampling QF Gronau, A Sarafoglou, D Matzke, A Ly, U Boehm, M Marsman, ... Journal of mathematical psychology 81, 80-97, 2017 | 245 | 2017 |
Trial-by-trial fluctuations in CNV amplitude reflect anticipatory adjustment of response caution U Boehm, L van Maanen, B Forstmann, H van Rijn NeuroImage 96, 95-105, 2014 | 97 | 2014 |
Estimating across-trial variability parameters of the Diffusion Decision Model: Expert advice and recommendations U Boehm, J Annis, MJ Frank, GE Hawkins, A Heathcote, D Kellen, ... Journal of Mathematical Psychology 87, 46-75, 2018 | 78 | 2018 |
On the importance of avoiding shortcuts in applying cognitive models to hierarchical data U Boehm, M Marsman, D Matzke, EJ Wagenmakers Behavior research methods 50 (4), 1614-1631, 2018 | 57 | 2018 |
A flexible and efficient hierarchical Bayesian approach to the exploration of individual differences in cognitive-model-based neuroscience A Ly, U Boehm, A Heathcote, BM Turner, B Forstmann, M Marsman, ... Computational models of brain and behavior, 467-480, 2017 | 45 | 2017 |
The computations that support simple decision-making: A comparison between the diffusion and urgency-gating models NJ Evans, GE Hawkins, U Boehm, EJ Wagenmakers, SD Brown Scientific reports 7 (1), 16433, 2017 | 44 | 2017 |
Of monkeys and men: Impatience in perceptual decision-making U Boehm, GE Hawkins, S Brown, H van Rijn, EJ Wagenmakers Psychonomic bulletin & review 23 (3), 738-749, 2016 | 42 | 2016 |
A Review of Applications of the Bayes Factor in Psychological Research DW Heck, U Boehm, F Böing-Messing, PC Bürkner, K Derks, Z Dienes, ... PsyArXiv, 2020 | 32 | 2020 |
Bayesian inference for psychology, part III: Parameter estimation in nonstandard models D Matzke, U Boehm, J Vandekerckhove Psychonomic bulletin & review 25 (1), 77-101, 2018 | 27 | 2018 |
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, ... PsyArXiv, 2019 | 24 | 2019 |
Using Bayesian regression to test hypotheses about relationships between parameters and covariates in cognitive models U Boehm, H Steingroever, EJ Wagenmakers Behavior research methods 50 (3), 1248-1269, 2018 | 20 | 2018 |
Perceptual decision-making in children: Age-related differences and EEG correlates C Manning, EJ Wagenmakers, AM Norcia, G Scerif, U Boehm Computational brain & behavior 4 (1), 53-69, 2021 | 15 | 2021 |
Real-time prediction of short-timescale fluctuations in cognitive workload U Boehm, D Matzke, M Gretton, S Castro, J Cooper, M Skinner, D Strayer, ... Cognitive Research: Principles and Implications 6 (1), 1-29, 2021 | 11 | 2021 |
The influence of spreading activation on memory retrieval in sequential diagnostic reasoning U Böhm, K Mehlhorn Proceedings of the 9th International Conference on Cognitive Modeling …, 2009 | 11 | 2009 |
A theoretical analysis of the reward rate optimality of collapsing decision criteria U Boehm, L van Maanen, NJ Evans, SD Brown, EJ Wagenmakers Attention, Perception, & Psychophysics, 1-15, 2019 | 8 | 2019 |
Fast Solutions for the First-Passage Distribution of Diffusion Models with Space-Time-Dependent Drift Functions and Time-Dependent Boundaries U Boehm, S Cox, G Gantner, R Stevenson PsyArXiv, 2021 | 7 | 2021 |
On the importance of avoiding shortcuts in modelling hierarchical data U Boehm, M Marsman, D Matzke, EJ Wagenmakers Manuscript submitted for publication, 2015 | 5 | 2015 |
Using Bayesian regression to incorporate covariates into hierarchical cognitive models U Boehm, H Steingroever, EJ Wagenmakers Manuscript submitted for publication, 2017 | 3 | 2017 |
Efficient numerical approximation of a non-regular Fokker--Planck equation associated with first-passage time distributions U Boehm, S Cox, G Gantner, R Stevenson arXiv preprint arXiv:2103.04839, 2021 | 2 | 2021 |