# Tutorials Each is a notebook shown with the outputs it was committed with; the source is in [`notebooks/`](https://github.com/lenarddome/psp-torch/tree/main/notebooks). - **What can prospect theory predict?** A complete first analysis: a two-parameter model of risky choice, how to write `model` and `discretize` for a batch of parameter sets, running {func}`psp.PSP`, checking the partition against brute force, and checking that the search found everything. - **ALCOVE and the six category structures.** The analysis of Pitt et al. (2006) on a slow learning model with four parameters: patterns that allow ties, planning and saving a long run, reading a partition you cannot plot, and robustness checks. ```{toctree} :maxdepth: 1 notebooks/tutorial notebooks/recipe-alcove ``` ## References Pitt, M. A., Kim, W., Navarro, D. J., & Myung, J. I. (2006). Global model analysis by parameter space partitioning. *Psychological Review, 113*(1), 57–83.