Category: mcmc-sampling
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From Physics to Probability: Hamiltonian Mechanics for Generative Modeling and MCMC
From Physics to Probability: Hamiltonian Mechanics for Generative Modeling and MCMC Phase space of a nonlinear pendulum. Photo by the author. Hamiltonian mechanics is a way to describe how physical systems, like planets or pendulums, move over time, focusing on energy rather than just forces. By reframing complex dynamics through energy lenses, this 19th-century physics…
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Introduction to the Finite Normal Mixtures in Regression with
Introduction to the Finite Normal Mixtures in Regression with Introduction to the Finite Normal Mixtures in Regression with R How to make linear regression flexible enough for non-linear data The linear regression is usually considered not flexible enough to tackle the nonlinear data. From theoretical viewpoint it is not capable to dealing with them. However, we…