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In this notebook, we explore how we can use Bayesian modeling to estimate the parameters of a censored data set. These datasets are common in many fields, including survival analysis and supply chain management. I was motivated to write this notebook after reading the excellent blog post “Modeling Anything With First Principles: Demand under extreme stockouts” by Kyle Caron where he uses these…
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