1 citations · 1 across the 4 of their papers we have counts for
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Scalable Bayesian Spatiotemporal Tensor Modeling for Censored and Missing Areal Data
Jose A. Ordoñez, Tsung-I Lin, Victor H. Lachos +1
We propose a new Bayesian approach for spatiotemporal areal data with censored and missing observations, where the response is represented as a tensor indexed by spatial units and…
Heckman Selection Contaminated Normal Model
Heeju Lim, Jose Alejandro Ordonez, Victor H. Lachos +1
The Heckman selection model is one of the most well-renounced econometric models in the analysis of data with sample selection. This model is designed to rectify sample selection b…
Spatial Censored Regression Models in R: The CensSpatial package
Jose A. Ordonez, Christian E. Galarza, Victor H. Lachos
CensSpatial is an R package for analyzing spatial censored data through linear models. It offers a set of tools for simulating, estimating, making predictions, and performing local…