This is my first post on this forum. I’ve been working with PyMC for simpler regression models, but now I’m venturing into more complex territory. Specifically, I’m trying to use PyMC to determine ELO scores for a game played by my friends. The challenge I’m facing involves the iterative nature of the modeling process, where the inputs (initial ELO scores) are also the outputs in a way (updated ELO scores), following the results of games.
To elaborate, the initial ELO scores are stochastic, serving as priors. However, these scores evolve into deterministic values based on game outcomes. I’m struggling to conceptualize and implement this dynamic in PyMC. I hope my explanation makes sense, and I apologize if I’m missing something obvious or not communicating my problem clearly. Any advice or pointers would be greatly appreciated. Thank you in advance!