Schad, Daniel J.

Toward a principled Bayesian workflow in cognitive science.

Schad, D. J., Betancourt, M., & Vasishth, S. (2021) · Psychological Methods

Statistical Methods and Bayesian InferenceBayesian Modeling and Causal Inference

Cited by 252

How should the advancement of large language models affect the practice of science?

Binz, M., Alaniz, S., Roskies, A., Aczel, B., Bergstrom, C. T., Allen, C., Schad, D., Wulff, D., West, J. D., Zhang, Q., et al. (2025) · Proceedings of the National Academy of Sciences

Artificial Intelligence ApplicationsEthics and Social Impacts of AI

Cited by 74

Don't Think, Just Feel the Music: Individuals with Strong Pavlovian-to-Instrumental Transfer Effects Rely Less on Model-based Reinforcement Learning

Sebold, M., Schad, D. J., Nebe, S., Garbusow, M., Jünger, E., Kroemer, N. B., Kathmann, N., Zimmermann, U. S., Smolka, M. N., Rapp, M. A., et al. (2016) · Journal of Cognitive Neuroscience

Neural and Behavioral Psychology StudiesDecision-Making and Behavioral Economics

Cited by 41