6 citations · 7 across the 4 of their papers we have counts for
4 papers
Benchmarking Classical, Machine Learning, and Bayesian Survival Models for Clinical Prediction
Irving Gómez-Méndez, Sivakorn Phromsiri, Ittiphat Kijpaisansak +1
Survival analysis is a statistical framework for modeling time-to-event data, particularly valuable in healthcare for predicting outcomes like patient discharge or recurrence. This…
Geological Inference from Textual Data using Word Embeddings
Nanmanas Linphrachaya, Irving Gómez-Méndez, Adil Siripatana
This research explores the use of Natural Language Processing (NLP) techniques to locate geological resources, with a specific focus on industrial minerals. By using word embedding…
Regional and spatial dependence of poverty factors in Thailand, and its use into Bayesian hierarchical regression analysis
Irving Gómez-Méndez, Chainarong Amornbunchornvej
Poverty is a serious issue that harms humanity progression. The simplest solution is to use one-shirt-size policy to alleviate it. Nevertheless, each region has its unique issues,…
Income, education, and other poverty-related variables: a journey through Bayesian hierarchical models
Irving Gómez-Méndez, Chainarong Amornbunchornvej
One-shirt-size policy cannot handle poverty issues well since each area has its unique challenges, while having a custom-made policy for each area separately is unrealistic due to…