An Information Theoretic Approach to Prevalence Estimation and Missing Data
O Hössjer, DA Díaz-Pachón, C Zhao… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Many data sources, including tracking social behavior to election polling to testing studies
for understanding disease spread, are subject to sampling bias whose implications are not …
for understanding disease spread, are subject to sampling bias whose implications are not …
Aggregating multiple test results to improve medical decision-making
Gathering observational data for medical decision-making often involves uncertainties
arising from both type I (false positive) and type II (false negative) errors. In this work, we …
arising from both type I (false positive) and type II (false negative) errors. In this work, we …
Is it possible to know cosmological fine-tuning?
DA Díaz-Pachón, O Hössjer… - The Astrophysical Journal …, 2024 - iopscience.iop.org
Fine-tuning studies whether some physical parameters, or relevant ratios between them, are
located within so-called life-permitting intervals of small probability outside of which carbon …
located within so-called life-permitting intervals of small probability outside of which carbon …
Statistical learning does not always entail knowledge
DA Díaz-Pachón, HR Gallegos, O Hössjer… - arXiv preprint arXiv …, 2024 - arxiv.org
In this paper, we study learning and knowledge acquisition (LKA) of an agent about a
proposition that is either true or false. We use a Bayesian approach, where the agent …
proposition that is either true or false. We use a Bayesian approach, where the agent …