| Dynamic models of choice A Heathcote, YS Lin, A Reynolds, L Strickland, M Gretton, D Matzke Behavior research methods 51, 961-985, 2019 | 172 | 2019 |
| The quality of response time data inference: A blinded, collaborative assessment of the validity of cognitive models G Dutilh, J Annis, SD Brown, P Cassey, NJ Evans, RPPP Grasman, ... Psychonomic bulletin & review 26, 1051-1069, 2019 | 162 | 2019 |
| Serial versus parallel search: A model comparison approach based on reaction time distributions V Narbutas, YS Lin, M Kristan, D Heinke Visual Cognition 25 (1-3), 306-325, 2017 | 27 | 2017 |
| Explaining human interactions on the road by large-scale integration of computational psychological theory G Markkula, YS Lin, AR Srinivasan, J Billington, M Leonetti, AH Kalantari, ... PNAS nexus 2 (6), pgad163, 2023 | 15 | 2023 |
| Evidence accumulation models with R: A practical guide to hierarchical Bayesian methods YS Lin, L Strickland The Quantitative Methods for Psychology 16 (2), 133-153, 2020 | 15 | 2020 |
| Parallel probability density approximation YS Lin, A Heathcote, WR Holmes Behavior Research Methods 51, 2777-2799, 2019 | 14 | 2019 |
| Comparing merging behaviors observed in naturalistic data with behaviors generated by a machine learned model AR Srinivasan, M Hasan, YS Lin, M Leonetti, J Billington, R Romano, ... 2021 IEEE International Intelligent Transportation Systems Conference (ITSC …, 2021 | 10 | 2021 |
| Beyond RMSE: Do machine-learned models of road user interaction produce human-like behavior? AR Srinivasan, YS Lin, M Antonello, A Knittel, M Hasan, M Hawasly, ... IEEE Transactions on Intelligent Transportation Systems, 2023 | 9 | 2023 |
| Explaining human interactions on the road requires large-scale integration of psychological theory G Markkula, AR Srinivasan, J Billington, M Leonetti, AH Kalantari, Y Yang, ... PsyArXiv, 2022 | 9 | 2022 |
| Modeling visual search using three-parameter probability functions in a hierarchical Bayesian framework YS Lin, D Heinke, GW Humphreys Attention, Perception, & Psychophysics 77, 985-1010, 2015 | 9 | 2015 |
| DMC: Dynamic models of choice A Heathcote, Y Lin, M Gretton Retrieved from osf. io/pbwx8, 2017 | 8 | 2017 |
| A utility maximization model of pedestrian and driver interactions YS Lin, AR Srinivasan, M Leonetti, J Billington, G Markkula IEEE Access 10, 118888-118899, 2022 | 4 | 2022 |
| The COMMOTIONS Urban Interactions Driving Simulator Study Dataset AR Srinivasan, J Schumann, Y Wang, YS Lin, M Daly, A Solernou, ... arXiv preprint arXiv:2305.11909, 2023 | 3 | 2023 |
| Investigating vehicle-pedestrian interactions at marked crossings: A comparison of two methodologies AH Kalantari, YS Lin, A Mohammadi, N Merat, G Markkula PsyArXiv, 2023 | | 2023 |
| The COMMOTIONS Urban Interactions Driving Simulator Study Dataset A Ramakrishnan Srinivasan, J Schumann, Y Wang, YS Lin, M Daly, ... arXiv e-prints, arXiv: 2305.11909, 2023 | | 2023 |
| Beyond RMSE: Do machine-learned models of road user interaction produce human-like behavior? A Ramakrishnan Srinivasan, YS Lin, M Antonello, A Knittel, M Hasan, ... arXiv e-prints, arXiv: 2206.11110, 2022 | | 2022 |
| Comparing merging behaviors observed in naturalistic data with behaviors generated by a machine learned model A Ramakrishnan Srinivasan, M Hasan, YS Lin, M Leonetti, J Billington, ... arXiv e-prints, arXiv: 2104.10496, 2021 | | 2021 |
| Decision making in visual search: a dual-modelling approach to examine the influences of attentional templates in response time distributions Y Lin University of Birmingham, 2015 | | 2015 |
| Method of Analysis and Inference YS Lin, A Heathcote | | |
Andrew HeathcotePsychology, University of Amsterdam在 uva.nl 的电子邮件经过验证
