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04/20/2023
Is augmentation effective to improve prediction in imbalanced text datasets?
Imbalanced datasets present a significant challenge for machine learning...
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07/02/2020
A robust nonlinear mixed-effects model for COVID-19 deaths data
The analysis of complex longitudinal data such as COVID-19 deaths is cha...
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06/14/2020
Heckman selection-t model: parameter estimation via the EM-algorithm
Heckman selection model is perhaps the most popular econometric model in...
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05/11/2020
Non-Separable Spatio-temporal Models via Transformed Gaussian Markov Random Fields
Models that capture the spatial and temporal dynamics are applicable in ...
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04/09/2020
Objective Bayesian analysis for spatial Student-t regression models
The choice of the prior distribution is a key aspect of Bayesian analysi...
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08/18/2019
Block Nearest Neighboor Gaussian processes for large datasets
This work develops a valid spatial block-Nearest Neighbor Gaussian proce...
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11/12/2017