Udo Böhm
Title
Cited by
Cited by
Year
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
2032020
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
1652017
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
832014
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
462018
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
392017
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
382018
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
382017
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
292016
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
242018
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
152018
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
102019
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
102009
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
72020
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
62021
On the importance of avoiding shortcuts in modelling hierarchical data
U Boehm, M Marsman, D Matzke, EJ Wagenmakers
Manuscript submitted for publication, 2015
52015
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
32019
Using Bayesian regression to incorporate covariates into hierarchical cognitive models
U Boehm, H Steingroever, EJ Wagenmakers
Manuscript submitted for publication, 2017
32017
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
12021
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
12021
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
12021
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Articles 1–20