ABC, Gibbs sampling, Growth models, Stochastic processes, Subordination

Palacios, Ana Paula, Marín, J. Miguel and Wiper, Michael P. (2015) A subordinated stochastic process model. In: Bayesian Statistics from Methods to Models and Applications. Springer Proceedings in Mathematics & Statistics, 126 . Springer, pp. 49-57. ISSN 2194-1009 (Print), 2194-1017 (Online) (doi:10.1007/978-3-319-16238-6_5)

Bacterial population modeling, Growth functions, Neural networks, Bayesian inference

Palacios, Ana Paula, Marín, J. Miguel, Quinto, Emiliano J. and Wiper, Michael P. (2014) Bayesian modeling of bacterial growth for multiple populations. The Annals of Applied Statistics, 8 (3). pp. 1516-1537. ISSN 1932-6157 (Print), 1941-7330 (Online) (doi:10.1214/14-AOAS720)

Depression; Anxiety; Offending;

Jolliffe, Darrick ORCID: https://orcid.org/0000-0003-4590-6343, Farrington, David P., Brunton-Smith, Ian, Loeber, Rolf, Ahonen, Lia and Palacios, Ana Paula (2018) Depression, anxiety and delinquency: Results from the Pittsburgh Youth Study. Journal of Criminal Justice, 62. pp. 42-49. ISSN 0047-2352 (doi:10.1016/j.jcrimjus.2018.08.004)

pome fruits, apples, fungal infections, mass spectrometry, machine learning, neural networks

Abdul Kareem, Razia Sulthana ORCID: https://orcid.org/0000-0001-5331-1310, Frost, Nageena, Goodall, Iain, Tilford, Timothy ORCID: https://orcid.org/0000-0001-8307-6403 and Palacios, Ana Paula (2024) Machine learning to detect fungal infections in stored pome fruits via mass spectrometry data: industry, economic, and social implications. Journal of Advances in Information Technology, 15 (10). pp. 1174-1183. ISSN 1798-2340 (Print), 1798-2340 (Online) (doi:10.12720/jait.15.10.1174-1183)