Tag: linear regression
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Reaction rate inference
In this post we show that, given a set of first order reactions with unknown rates, inferring the reaction rates from a dataset of instantaneous species concentrations is a linear regression problem. We solve it for some toy examples.
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The equivalent kernel for non-zero prior mean
This note is a brief addendum to Section 3.3 of Bishop on Bayesian Linear Regression. Some of the derivations in that section assume, for simplicity, that the prior mean on the weights is zero. Here we’ll relax this assumption and see what happens to the equivalent kernel. Background The setting in that section is that,…