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Geometry and factorization of multivariate Markov chains with applications to MCMC acceleration and approximate inference
Geometry and factorization of multivariate Markov chains with applications to MCMC acceleration and approximate inference
Arxiv
0+阅读 · 3月18日
MCMC Informed Neural Emulators for Uncertainty Quantification in Dynamical Systems
Arxiv
0+阅读 · 3月11日
Neural Diffusion Intensity Models for Point Process Data
Arxiv
0+阅读 · 2月27日
MCMC using $\textit{bouncy}$ Hamiltonian dynamics: A unifying framework for Hamiltonian Monte Carlo and piecewise deterministic Markov process samplers
Arxiv
0+阅读 · 3月9日
Posterior Mode Guided Dimension Reduction for Bayesian Model Averaging in Heavy-Tailed Linear Regression
Arxiv
0+阅读 · 2月24日
Don't Disregard the Data for Lack of a Likelihood: Bayesian Synthetic Likelihood for Enhanced Multilevel Network Meta-Regression
Arxiv
0+阅读 · 3月11日
Constrained graph generation: Preserving diameter and clustering coefficient simultaneously
Arxiv
0+阅读 · 2月23日
MGD: Moment Guided Diffusion for Maximum Entropy Generation
Arxiv
0+阅读 · 2月19日
Amortized Bayesian Workflow
Arxiv
0+阅读 · 2月17日
Modified Delayed Acceptance MCMC for Quasi-Bayesian Inference with Linear Moment Conditions
Arxiv
0+阅读 · 2月17日
Optimization and Regularization Under Arbitrary Objectives
Arxiv
0+阅读 · 2月15日
Planting and MCMC Sampling from the Potts model
Arxiv
0+阅读 · 2月13日
Ergodicity of an Adaptive MCMC Sampler under a Probability Bound
Arxiv
0+阅读 · 2月6日
Ergodicity of an Adaptive MCMC Sampler under a Probability Bound
Arxiv
0+阅读 · 2月16日
Delayed Acceptance Markov Chain Monte Carlo for Robust Bayesian Analysis
Arxiv
0+阅读 · 2月13日
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