Using Autodiff to Estimate Posterior Moments, Marginals and Samples: Algorithms
2024-4-15 21:38:0 Author: hackernoon.com(查看原文) 阅读量:0 收藏

Read on Terminal Reader

Open TLDRtldt arrow

Too Long; Didn't Read

Importance weighting allows us to reweight samples drawn from a proposal in order to compute expectations of a different distribution.

featured image - Using Autodiff to Estimate Posterior Moments, Marginals and Samples: Algorithms

Bayesian Inference HackerNoon profile picture

Bayesian Inference

Bayesian Inference

@bayesianinference

At BayesianInference.Tech, as more evidence becomes available, we make predictions and refine beliefs.

STORY’S CREDIBILITY

Academic Research Paper

Academic Research Paper

Part of HackerNoon's growing list of open-source research papers, promoting free access to academic material.

L O A D I N G
. . . comments & more!


About Author

Bayesian Inference HackerNoon profile picture

At BayesianInference.Tech, as more evidence becomes available, we make predictions and refine beliefs.

TOPICS

THIS ARTICLE WAS FEATURED IN...

RELATED STORIES


文章来源: https://hackernoon.com/using-autodiff-to-estimate-posterior-moments-marginals-and-samples-algorithms?source=rss
如有侵权请联系:admin#unsafe.sh