Broadly Applicable Approximate MCMC for Switching Stochastic Differential Equations Using Uniformization and Time-Conditioned Factorized Neural Likelihood Estimation

arXiv:2610.10194 · stat.ML, cs.LG · Submitted 2026-10-07 · Read on arXiv

stat.ML, cs.LG

Submitted: 2026-10-07

Updated: 2026-10-07

Code: https://github.com/shion-h/fnle-ssde

Terminology

• Bayesian Inference — 6× in this paper · explained in 5 episodes
• Abundance — 5× in this paper · explained in 1 episode
• Simulation-based Inference — 5× in this paper · explained in 2 episodes
• Generative AI — 4× in this paper · explained in 2 episodes
• Trace — 4× in this paper · explained in 2 episodes
• Adaptation — 2× in this paper · explained in 1 episode
• Benchmark — 2× in this paper · explained in 2 episodes
• Core — 2× in this paper · explained in 2 episodes
• Data Augmentation — 2× in this paper · explained in 7 episodes
• No-U-Turn Sampler — 2× in this paper
• Diffusion Process — 1× in this paper · explained in 2 episodes
• Normalizing Flow — 1× in this paper · explained in 3 episodes
• Normalizing Flows — 1× in this paper · explained in 4 episodes

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