On frequentist confidence intervals in a non-Gaussian regime

Fuente: arXiv
Gespeichert in:
Bibliographische Detailangaben
Hauptverfasser: Barua, Shubham, Desai, Shantanu, Lopez-Hernandez, Mauricio, Colgáin, Eoin Ó
Format: Preprint
Veröffentlicht: 2025
Schlagworte:
Online-Zugang:
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
_version_ 1866914264433819648
author Barua, Shubham
Desai, Shantanu
Lopez-Hernandez, Mauricio
Colgáin, Eoin Ó
author_facet Barua, Shubham
Desai, Shantanu
Lopez-Hernandez, Mauricio
Colgáin, Eoin Ó
contents We study frequentist confidence intervals based on graphical profile likelihoods (Wilks' theorem, likelihood integration), and the Feldman-Cousins (FC) prescription, a generalisation of the Neyman belt construction, in a setting with non-Gaussian Markov chain Monte Carlo (MCMC) posteriors. Our simplified setting allows us to recycle the MCMC chain as an input in all methods, including mock simulations underlying the FC approach. We find all methods agree to within $10 \%$ in the close to Gaussian regime, but extending methods beyond their regime of validity leads to greater discrepancies. Importantly, we recover a $\sim 2 σ$ shift in cosmological parameters between low and high redshift cosmic chronometer data with the FC method, but only when one fits all parameters back to the mocks. We observe that fixing parameters, a common approach in the literature, risks underestimating confidence intervals.
format Preprint
id arxiv_https___arxiv_org_abs_2508_10633
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle On frequentist confidence intervals in a non-Gaussian regime
Barua, Shubham
Desai, Shantanu
Lopez-Hernandez, Mauricio
Colgáin, Eoin Ó
Cosmology and Nongalactic Astrophysics
General Relativity and Quantum Cosmology
High Energy Physics - Phenomenology
We study frequentist confidence intervals based on graphical profile likelihoods (Wilks' theorem, likelihood integration), and the Feldman-Cousins (FC) prescription, a generalisation of the Neyman belt construction, in a setting with non-Gaussian Markov chain Monte Carlo (MCMC) posteriors. Our simplified setting allows us to recycle the MCMC chain as an input in all methods, including mock simulations underlying the FC approach. We find all methods agree to within $10 \%$ in the close to Gaussian regime, but extending methods beyond their regime of validity leads to greater discrepancies. Importantly, we recover a $\sim 2 σ$ shift in cosmological parameters between low and high redshift cosmic chronometer data with the FC method, but only when one fits all parameters back to the mocks. We observe that fixing parameters, a common approach in the literature, risks underestimating confidence intervals.
title On frequentist confidence intervals in a non-Gaussian regime
topic Cosmology and Nongalactic Astrophysics
General Relativity and Quantum Cosmology
High Energy Physics - Phenomenology
url https://arxiv.org/abs/2508.10633