Papers

Sampling-Based Accuracy Testing of Posterior Estimators for General Inference

P Lemos, A Coogan, Y Hezaveh… - arXiv preprint arXiv …, 2023 - arxiv.org
Statistics paper stat.ML Suggest

… Posterior inference with generative models is an alternative to methods such as Markov Chain Monte Carlo, both for likelihood-based and simulation-based inference. …

Cited by Link to paper

BibTeX

@misc{lemos2023samplingbased,
title={Sampling-Based Accuracy Testing of Posterior Estimators for General Inference},
author={Pablo Lemos and Adam Coogan and Yashar Hezaveh and Laurence Perreault-Levasseur},
year={2023},
eprint={2302.03026},
archivePrefix={arXiv},
primaryClass={id='stat.ML' full_name='Machine Learning' is_active=True alt_name=None in_archive='stat' is_general=False description='Covers machine learning papers (supervised, unsupervised, semi-supervised learning, graphical models, reinforcement learning, bandits, high dimensional inference, etc.) with a statistical or theoretical grounding'}
}

Share