Výsledky vyhledávání - "Ordóñez, José A"

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Heckman Selection Contaminated Normal Model

Autor: Lim, Heeju, Ordonez, Jose Alejandro, Lachos, Victor H., Punzo, Antonio

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 biases based on the assumption of bivariate normal error terms. However

Externí odkaz: http://arxiv.org/abs/2409.12348

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Maximum likelihood inference for a class of discrete-time Markov-switching time series models with multiple delays

Autor: Martínez-Ordóñez, José A., López-Santiago, Javier, Miguez, Joaquín

Autoregressive Markov switching (ARMS) time series models are used to represent real-world signals whose dynamics may change over time. They have found application in many areas of the natural and social sciences, as well as in engineering. In genera

Externí odkaz: http://arxiv.org/abs/2311.11445

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Spatial Censored Regression Models in R: The CensSpatial package

Autor: Ordonez, Jose A., Galarza, Christian E., Lachos, Victor H.

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 influence diagnostics for outlier detection. The package provides fou

Externí odkaz: http://arxiv.org/abs/2110.05570

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Objective Bayesian analysis for spatial Student-t regression models

Autor: Ordoñez, Jose A., Prates, Marcos O., Matos, Larissa A., Lachos, Victor H.

The choice of the prior distribution is a key aspect of Bayesian analysis. For the spatial regression setting a subjective prior choice for the parameters may not be trivial, from this perspective, using the objective Bayesian analysis framework a re

Externí odkaz: http://arxiv.org/abs/2004.04341

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