Reactive graphs enable efficient MCMC inference in probabilistic programming languages by automatically tracking and selectively recomputing data dependencies during sampling.
The No-U-turn Sampler: Adaptively Setting Path Lengths in Hamiltonian Monte Carlo
4 Pith papers cite this work. Polarity classification is still indexing.
4
Pith papers citing it
years
2026 4verdicts
UNVERDICTED 4representative citing papers
Proposes adaptive multiple importance sampling for robust Bayesian model evidence estimation under parameter non-identifiability, shown to outperform deterministic methods on ecological case studies while being cheaper than MCMC.
A nonlinear analytical theory derived via asymptotic analysis identifies four dynamical regimes for heterogeneous chemotactic cell collectives and predicts a balanced mixing-localization regime for dendritic and T cell co-migration enabled by strong chemoattractant consumption.
K-essence cosmology induces a redshift-dependent effective mass on gravitational waves, causing phase shifts that link scalar field dynamics to GW observables without changing wave speed or luminosity distance.
citing papers explorer
-
Reliable model selection in the presence of parameter non-identifiability
Proposes adaptive multiple importance sampling for robust Bayesian model evidence estimation under parameter non-identifiability, shown to outperform deterministic methods on ecological case studies while being cheaper than MCMC.