Papers

Learning Optimal Test Statistics in the Presence of Nuisance Parameters

L Heinrich - arXiv preprint arXiv:2203.13079, 2022 - arxiv.org
Statistics paper stat.ME Suggest

… Related Work Likelihood-free and simulation-based inference using machine-learning methods are growing field of research, where inference approaches for both Bayesian and …

Cited by Link to paper

BibTeX

@misc{heinrich2022learning,
title={Learning Optimal Test Statistics in the Presence of Nuisance Parameters},
author={Lukas Heinrich},
year={2022},
eprint={2203.13079},
archivePrefix={arXiv},
primaryClass={id='stat.ME' full_name='Methodology' is_active=True alt_name=None in_archive='stat' is_general=False description='Design, Surveys, Model Selection, Multiple Testing, Multivariate Methods, Signal and Image Processing, Time Series, Smoothing, Spatial Statistics, Survival Analysis, Nonparametric and Semiparametric Methods'}
}

Share