Publications
Working papers
4. Information measures of human microbiota diversity
With Renata Gallegos.
3. Spatial Ξ-Fleming-Viot processes
With Alison Etheridge.
2. Poisson multi-matchings
1. Continuum percolation in high dimensions with random radii
Articles
23. Lenses of variation
ECML PKDD 2025 (Submitted), 2025.
With Tianhao Liu and J. Sunil Rao.
22. Statistical learning does not always entail knowledge [arχiv]
Bayesian Analysis (Submitted), 2025.
With H. Renata Gallegos, Ola Hössjer, and J. Sunil Rao.
21. An Information Theoretic Approach to Prevalence Estimation and Missing Data [Journal] [arχiv]
IEEE Transactions on Information Theory, 70(5):3567-3582, 2024.
With Ola Hössjer, Chen Zhao, and J. Sunil Rao.
20. Is it possible to know cosmological fine-tuning? [Journal] [arχiv]
The Astrophysical Journal Supplement Series, 271(2):56, 2024 (Open access).
With Ola Hössjer and Calvin Mathew.
19. “Back-to-the-future” projections for COVID-19 surges [Journal]
PLOS One, 19(1):e0296964 2024 (Open access).
With Tianhao Liu and J. Sunil Rao.
18. Algorithmic information forcastability [arχiv]
Submitted, 2023.
With Glauco Amigo-Galán and Robert J. Marks II.
17. Correcting prevalence estimation for biased sampling with testing errors [Journal]
Statistics in Medicine, 42(26):4713-4737, 2023 (Open access).
With Lili Zhou, Chen Zhao, J. Sunil Rao, and Ola Hössjer.
16. Bridging Industry, Government, and Academia for Socially Responsible AI: The CSEAI Initiative.
2023 IEEE International Symposium on Ethics in Engineering, Science, and Technology (ETHICS), 1-1, 2023.
With Pablo Rivas, Laura Montoya, and Jorge Ortiz.
15. Sometimes size does not matter [Journal] [Manuscript] [Poster]
Foundations of Physics, 53:1, 2023.
With Ola Hössjer and Robert J. Marks II.
14. High-Dimensional Mode Hunting Using Pettiest Components Analysis [Journal] [arχiv]
IEEE Transactions on Pattern Analysis and Machine Intelligence, 45(4):4637-4649, 2023.
With Tianhao Liu, J. Sunil Rao, and Jean-Eudes Dazard.
13. Planning a Center for Standards and Ethics in Artificial Intelligence. [pdf]
Proceedings of the International Conference on Machine Learning Research, 1-22. 2022.
With Pablo Rivas, Laura Montoya, and Jorge Ortiz.
12. A Formal Framework for Knowledge Acquisition: Going Beyond Machine Learning [Journal]
Entropy, 24(10):1469, 2022 (Open access).
With Ola Hössjer and J. Sunil Rao.
11. Assessing, testing and estimating the amount of fine-tuning by means of active information [Journal]
Entropy, 24(10):1323, 2022 (Open access). Editor’s choice article.
With Ola Hössjer.
10. Is Cosmological Tuning Fine or Coarse? [Journal] [arχiv]
Journal of Cosmology and Astroparticle Physics, JCAP07(2021)020, 2021.
With Ola Hössjer and Robert J. Marks II.
9. A simple correction for COVID-19 sampling bias [Journal] [arχiv]
Journal of Theoretical Biology, 512:110556, 2021.
With J. Sunil Rao.
8. Active Information Requirements for Fixation on the Wright-Fisher Model of Population Genetics [Journal]
BIO-Complexity, 2020(4):1–6, 2020 (Open access).
With Robert J. Marks II.
7. Generalized active information: Extensions to unbounded domains [Journal]
BIO-Complexity, 2020(3):1–6, 2020 (Open access).
With Robert J. Marks II.
6. Hypothesis testing with active information [Journal] [arχiv]
Statistics & Probability Letters, 161:108742, 2020.
With Juan P. Sáenz and J. Sunil Rao.
5. Mode hunting through active information [Journal] [arχiv]
Applied Stochastic Models in Business & Industry, 35(2):376–393, 2019.
With Juan P. Sáenz, J. Sunil Rao, and Jean-Eudes Dazard.
4. Unsupervised Bump Hunting Using Principal Components [Book chapter] [arχiv]
In S. Ejaz Ahmed, editor, Big and Complex Data Analysis: Methodologies and Applications, pp. 325–345. Springer, 2017.
With Jean-Eudes Dazard and J. Sunil Rao.
3. F tests for the strip-split plot design [Journal] [arχiv]
Revista Brasileira de Biometria, 34(2):279–303, 2016.
With Francisco J. P. Zimmermann and Luis Alberto López-Pérez.
2. Percolation for the stable marriage of Poisson and Lebesgue with random appetites [Journal] [arχiv]
Stochastics, 85(2):252–261, 2013.
1. A note on large deviations for the stable marriage of Poisson and Lebesgue with random appetites [Journal] [arχiv]
Journal of Theoretical Probability, 25(1):77–91, 2012.
Dissertations
2. Algumas propriedades de alocações para o processo pontual de Poisson [pdf]
Advisor: Serguei Popov.
Doctoral dissertation (Portuguese). Instituto de Matemática e Estatística, Universidade de São Paulo, Brazil, 2009.
1. Hipótesis lineales sobre medias para experimentos de franjas en parcelas divididas [pdf]
Advisors: Luis Alberto López-Pérez and Francisco J. P. Zimmermann.
Undergraduate dissertation (Spanish). Departamento de Estadística, Universidad Nacional de Colombia, 2004.