Embedded Files
Laboratorul 1
Laboratorul 1
Configurarea mediului de lucru
Creare repo (fork la template)
PyMC Hello WorldÂ
Laboratorul 2
Laboratorul 2
Simulation of Random Variables
Lab 2.pdfLaboratorul 3
Laboratorul 3
Bayesian Networks
Lab3.pdfLaboratorul 5
Laboratorul 5
Hidden Markov Models
Lab5.pdfLaboratorul 6
Laboratorul 6
Bayesian inference
Lab6.pdfLaboratorul 7
Laboratorul 7
Bayesian inference with PyMC
Lab7.pdfLaboratorul 9
Laboratorul 9
Bayesian inference with PyMC (cont'd)
Lab8.pdfLaboratorul 10
Laboratorul 10
Linear regression
Lab_10.pdfReferinte
Referinte
[BAP] Osvaldo Martin, Bayesian Analysis with Python: Introduction to statistical modeling and probabilistic programming using PyMC3 and ArviZ, 2nd ed., 2018 (versiune online aici)
[BMH] Cameron Davidson-Pilon, Bayesian Methods for Hackers: Probabilistic Programming and Bayesian Inference, 2016 (versiune online aici)
[PGM] Luis Enrique Sucar, Probabilistic Graphical Models: Principles and Applications, Springer, 2021
NumPy documentation
PyMC documentation
SciPy documentation
Pgmpy documentation
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