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4 results for “Markov chain”
Bayesian methods and Markov chain Monte Carlo algorithms for curve reconstruction and point cloud data analysis
A new Bayesian statistical framework for reconstructing curves from point-cloud data introduces uncertainty quantification to address noise, missing data, and overconfidence in existing reconstruction methods.
Aug 28, 2026
Notes on Hamiltonian Monte Carlo from a purely probabilistic perspective [P]
A Reddit user shared pedagogical notes reframing Hamiltonian Monte Carlo (HMC) as a probabilistic MCMC method—bypassing physics analogies—to clarify its theoretical foundations and improve accessibility for learners.
Aug 21, 2026
The Entropy of a Markov Chain
A Hacker News thread titled 'The Entropy of a Markov Chain' contains user comments discussing theoretical aspects of Markov chains and entropy, with no reported event, product, policy, or organizational action.
Aug 5, 2026
Induction Heads Interpolate N-Grams
A new arXiv preprint formally links induction heads in transformer models to classical statistical smoothing techniques—specifically Jelinek-Mercer and Dirichlet-style smoothing—by analyzing their behavior on order-k Markov chains.
Jul 8, 2026