thank you very much for clarifying the technical details behind how ADVI manages the marginalization, i was thinking rather loosely about it the key point for me was the fact that i was trying to impose temporally correlated data, which was generated via HMMs, into an IID setup which was totally inappropriate here… that is what drove me to consider state-space models, thank you for discussing it with me!
| # | Наименование новости | Тональность | Информативность | Дата публикации |
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| 1 | Hidden Markov Models in PyMC: marginalize and recover a DiscreteMarkovChain | 0 | 4.78 | 13-07-2026 |
| 2 | Priors, begginer questions and Titanic Data | 0 | 5.23 | 31-07-2026 |
| 3 | Pymc_forecast — a new Bayesian time-series forecasting toolkit for PyMC | 0 | 19.35 | 17-07-2026 |
| 4 | Modelling non-stationary extremal dependence through a geometric approach | 0 | 5.83 | 24-07-2026 |
| 5 | Estimation in a Hazard Regression Model with Smooth Transitions over Unknown Regimes | 0 | 3.72 | 20-07-2026 |
| 6 | Best Fixed and Sequential Design for Bayesian Estimation of a Sum of Two Failure Rates of Exponential Distributions | 0 | 6.79 | 20-07-2026 |
| 7 | Media Mix Modelling | 0 | 11.74 | 19-07-2026 |
| 8 | Regarding GSOC 2027 and PyMC projects | 0 | 7.73 | 28-07-2026 |
| 9 | savana 0.1.10 | 0 | 5 | 10-07-2026 |
| 10 | VIDEO: ‘Not enough priority given to BESS asset management and operation’ | 0 | 10.4 | 22-07-2026 |