Bayesian Statistics with Python, No Resampling Necessary
نویسندگان
چکیده
TensorFlow Probability is a powerful library for statistical analysis in Python. Using Probabilityâs implementation of Bayesian methods, modelers can incorporate prior information and obtain parameter estimates quantified degree belief the results. Resampling methods like Markov Chain Monte Carlo also be used to perform analysis. As an alternative, we show how use numerical optimization estimate model parameters, then differentiation get belief. How simulation Python corroborate our results demonstrated.
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ژورنال
عنوان ژورنال: Proceedings of the Python in Science Conferences
سال: 2023
ISSN: ['2575-9752']
DOI: https://doi.org/10.25080/gerudo-f2bc6f59-005