Следене
Daniel Andrés Díaz-Pachón
Daniel Andrés Díaz-Pachón
Други именаDaniel Diaz, Daniel Díaz Pachón, Daniel A Díaz Pachón
Research Assistant Professor of Biostatistics, University of Miami
Потвърден имейл адрес: miami.edu - Начална страница
Заглавие
Позовавания
Позовавания
Година
Generalized Active Information: Extensions to Unbounded Domains
DA Díaz-Pachón, RJ Marks II
BIO-Complexity 2020 (3), 1-6, 2020
142020
A simple correction for COVID-19 sampling bias
DA Díaz-Pachón, JS Rao
Journal of Theoretical Biology 512, 110556, 2021
112021
Hypothesis testing with active information
DA Díaz–Pachón, JP Sáenz, JS Rao
Statistics & probability letters 161, 108742, 2020
112020
Unsupervised bump hunting using principal components
DA Díaz-Pachón, JE Dazard, JS Rao
Big and Complex Data Analysis, 325-345, 2017
112017
Mode hunting through active information
DA Díaz‐Pachón, JP Sáenz, JS Rao, JE Dazard
Applied stochastic models in business and industry 35 (2), 376-393, 2019
82019
Is Cosmological Tuning Fine or Coarse?
DA Díaz-Pachón, O Hössjer, RJ Marks II
Journal of Cosmology and Astroparticle Physics 2021 (07), 020, 2021
62021
Active Information Requirements for Fixation on the Wright-Fisher Model of Population Genetics
DA Díaz-Pachón, RJ Marks
BIO-Complexity 2020 (4), 1-6, 2020
62020
A formal framework for knowledge acquisition: going beyond machine learning
O Hössjer, DA Díaz-Pachón, JS Rao
Entropy 24 (10), 1469, 2022
5*2022
Assessing, testing and estimating the amount of fine-tuning by means of active information
DA Díaz-Pachón, O Hössjer
Entropy 24 (10), 1323, 2022
52022
Sometimes size does not matter
DA Díaz-Pachón, O Hössjer, RJ Marks
Foundations of physics 53 (1), 1, 2023
42023
A note on large deviations for the stable marriage of Poisson and Lebesgue with random appetites
DA Díaz-Pachón
Journal of Theoretical Probability 25 (1), 77-91, 2012
42012
Algumas propriedades de alocações para o processo pontual de Poisson
DA Díaz-Pachón
Instituto de Matemática e Estatística - Universidade de São Paulo, 2009
42009
High Dimensional Mode Hunting Using Pettiest Components Analysis
T Liu, DA Diaz-Pachon, JS Rao, JE Dazard
IEEE transactions on pattern analysis and machine intelligence 45 (4), 4637-4649, 2023
32023
Active information, missing data and prevalence estimation
O Hössjer, DA Díaz-Pachón, C Zhao, JS Rao
arXiv preprint arXiv:2206.05120, 2022
32022
On the explanatory power of principal components
DA Diaz-Pachon, JS Rao, JE Dazard
arXiv preprint arXiv:1404.4917, 2014
32014
Percolation for the stable marriage of Poisson and Lebesgue with random appetites
DA Díaz-Pachón
Stochastics 85 (2), 252-261, 2013
2*2013
Correcting prevalence estimation for biased sampling with testing errors
L Zhou, DA Díaz‐Pachón, C Zhao, JS Rao, O Hössjer
Statistics in Medicine, 2023
2023
Forecast Ergodicity: Prediction Modeling Using Algorithmic Information Theory
G Amigo, DA Díaz-Pachón, RJ Marks
arXiv preprint arXiv:2304.10752, 2023
2023
"Back to the future" projections for COVID-19 surges
JS Rao, T Liu, DA Díaz-Pachón
arXiv preprint arXiv:2202.08928, 2022
2022
Tests for the strip-split plot design
DA Díaz-Pachón, FJP Zimmermann, LA López
Revista Brasileira de Biometria 34 (2), 279-303, 2016
2016
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