Work

Water tasting: A Bayesian multiverse analysis

Year: 2025

Type: article

Abstract: Varying data inclusion criteria and prior settings, a Bayesian multiverse analysis failed to provide robust evidence for the claim that people prefer Chaudfontaine over tap water.

Source: Journal of Robustness Reports

DOI: 10.21468/jrobustrep.0-ex1

Author: Suzanne Hoogeveen

Institution: Utrecht University

Language: English

Topic: Statistical Methods and Bayesian Inference

Subfield: Statistics and Probability

Field: Mathematics

Domain: Physical Sciences

SDG: Clean water and sanitation

Open Access status: hybrid

Funder: Nederlandse Organisatie voor Wetenschappelijk Onderzoek

Award: Revealing hidden uncertainty with robustness reports (ROBUST)

OpenAlex ID: W4409507788

FWCI: 0.871

Cites: 8

Cited by: 1

Related to: 10