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stat.ME2025
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…
stat.ME2025★ 1 cited
Bayesian analysis of flexible Heckman selection models using Hamiltonian Monte Carlo
Heeju Lim, Victor E. Lachos, Victor H. Lachos
The Heckman selection model is widely used in econometric analysis and other social sciences to address sample selection bias in data modeling. A common assumption in Heckman selec…