Time Series Analysis, Bayesian Modeling, Machine Learning, TensorFlow.
tree growth rate is ω. We can use the Bayesian theorem to combine our prior belief about the growth rate in (6) with the likelihood function p(y): where C is a normalization constant. As in the example from the previous blog post, the posterior is a Truncated Normal distribution. To get this result