Working with …
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Working with …

[servicebox column=”4″ iconplace=”top” boxplace=”horizontal” iconcolor=”#00899e”]
[servicebox_item icon=”icon-code” title=”Cognitive Modeling” link=”” last_item=”no”]
Bayesian mixture models, decision tree models, fast-and-frugal heuristics, exemplar models, linear models[/servicebox_item]

[servicebox_item icon=”icon-code” title=”Inferential Methodology” link=”” last_item=”no”]
Numerical parameter fitting, genetic algorithms, cross-validation, parameter recovery; also gaussian network models, GLMMs[/servicebox_item]

[servicebox_item icon=”icon-code” title=”Experimental design” link=”” last_item=”no”]
Optimal experimental design: optimizing design to distinguish models prior to data collection (Myung & Pitt, 2009) [/servicebox_item]

[servicebox_item icon=”icon-laptop” title=”Online Experiments” link=”” last_item=”yes”]  Distribution: Amazon MTurk, Prolific Academic, Hosting: O-tree+Heroku, Unipark, Qualtrics, self-hosted
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[servicebox column=”4″ iconplace=”top” boxplace=”horizontal” iconcolor=”#00899e”]
[servicebox_item icon=”icon-code” title=”Tools & Languages” link=”” last_item=”yes”]  R, JS, jQuery, C++, Python, parallel computing [/servicebox_item]

[servicebox_item icon=”icon-edit” title=”Lab Experiments” link=”” last_item=”no”]  O-tree, zTree, Unity3d[/servicebox_item]

[servicebox_item icon=”icon-bar-chart” title=”Quantitative Data” link=”” last_item=”no”] choice data | process data [/servicebox_item]

[servicebox_item icon=”icon-comments” title=”Qualitative Data” link=”” last_item=”yes”] [/servicebox_item]
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References

Myung, J. I., & Pitt, M. A. (2009). Optimal experimental design for model discrimination. Psychological Review, 116(3), 499–518. doi:10.1037/a0016104