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GitHub topics: bayesian-mixture

valinsogna/HeadachePredictor-HMM

Predicting headache occurrences using Hidden Markov Models (HMMs). The dataset comprises 296 days of binary headache records. Analysis reveals cyclical patterns, with the DTMC Model yielding the best predictions. Wiener Process, sARIMA, Bayesian Normal Mixtures, DTMC, and Categorical Mixtures models are also reported.

Language: Jupyter Notebook - Size: 6.76 MB - Last synced at: 4 months ago - Pushed at: almost 2 years ago - Stars: 1 - Forks: 0