From-scratch Metropolis–Hastings MCMC for Bayesian inference — fitting cosmic-chronometer H(z) data and testing ΛCDM vs dynamical dark energy with Gelman–Rubin diagnostics and AIC/BIC model selection.
python monte-carlo model-selection cosmology astrophysics scipy bayesian-inference mcmc markov-chain-monte-carlo metropolis-hastings dark-energy gelman-rubin
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Updated
Jul 13, 2026 - Jupyter Notebook