Challenges of Hidden Markov Models

Becky questions Teo about the drawbacks of hidden Markov models, highlighting the challenge of determining the optimal number of behavioral states. Teo explains how model selection criteria tend to favor complexity, leading to difficulties in interpretation and computational costs with large datasets.