Bayesian Statistics and Probability Modeling
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Updated
Dec 18, 2020 - R
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probability-modeling
Here are 3 public repositories matching this topic...
An R package for fitting Coxian Phase-Type distributions using the Expectation-Maximization (EM) algorithm. Supports parameter estimation, model selection, survival function computation, and visualization for applications in survival analysis, queueing models, and reliability engineering.
r statistics reliability-engineering survival-analysis markov-process em-algorithm queueing-theory statistical-computing probability-modeling phase-type-distributions coxian-distributions likelihood-estimation
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Updated
Feb 4, 2025 - R
The Big Bang of Data Science- Prediction from the Start to The End- [Book Three]
python reinforcement-learning machine-learning-algorithms classification predictive-modeling rnn-tensorflow clustering-algorithm cnn-keras artificial-intelligence-algorithms probability-prediction probability-modeling
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Updated
Mar 24, 2024 - Jupyter Notebook
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