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Additive partial linear models with autoregressive symmetric errors and its application to the hospitalizations for respiratory diseases
Additive partial linear models with symmetric autoregressive errors of order p are proposed in this paper for modeling time series …
Shu Wei Chou Chen, Rodrigo A. Oliveira, Irina Raicher, Gilberto A. Paula
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Forecasting hospital discharges for respiratory conditions in Costa Rica using climate and pollution data
Respiratory diseases represent one of the most significant economic burdens on healthcare systems worldwide. The variation in the …
Shu Wei Chou Chen, Luis A. Barboza
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Bayesian spatio-temporal model with INLA for dengue fever risk prediction in Costa Rica
Due to the rapid geographic spread of the Aedes mosquito and the increase in dengue incidence, dengue fever has been an increasing …
Shu Wei Chou Chen, Luis A. Barboza, Paola Vásquez, Yury E. García, Juan G. Calvo, Hugo G. Hidalgo, Fabio Sanchez
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Common patterns between dengue cases, climate, and local environmental variables in Costa Rica; A wavelet approach
Dengue transmission poses significant challenges for public health authorities worldwide due to its susceptibility to various factors, …
Yury E. García, Shu Wei Chou Chen, Luis A. Barboza, Maria L. Daza-Torres, J. Cricelio Montesinos-López, Paola Vásquez, Juan G. Calvo, Miriam Nuño, Fabio Sanchez
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Patrones de movilidad en tiempos de COVID-19; Un enfoque con big data
Mobility in Costa Rica is a complex issue due to the lack of urban planning in Gran ÁreaMetropolitana (GAM). The global health crisis …
Steffan Gómez-Campos, Mariana Cubero-Corella, María Fernanda Salas García, Shu Wei Chou Chen
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Spatio-temporal downscaling emulator for regional climate models
Regional climate models (RCM) describe the mesoscale global atmospheric and oceanic dynamics and serve as dynamical downscaling models. …
Luis A. Barboza, Shu Wei Chou Chen, Marcela Alfaro Córdoba, Eric J. Alfaro, Hugo G. Hidalgo
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A two-step estimation procedure for locally stationary ARMA processes with tempered stable innovations
In this paper, we propose the tvARMA model with tempered stable innovations, which have lighter tails than the stable distribution and have finite moments. A two-step method is proposed to estimate this parametric model.
Shu Wei Chou Chen, Pedro A. Morettin
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Assessing dengue fever risk in Costa Rica by using climate variables and machine learning techniques
Objective. Dengue fever is a vector-borne disease affecting millions yearly, mostly in tropical and subtropical countries. Driven …
Luis A. Barboza, Shu Wei Chou Chen, Paola Vásquez, Yury E. García, Juan G. Calvo, Hugo G. Hidalgo, Fabio Sanchez
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Mathematical and statistical models for the control of mosquito-borne diseases, the experience of Costa Rica
To summarize the results of research conducted in Costa Rica in which mathematical and statistical methods were implemented to study the transmission dynamics of mosquito-borne diseases.
Paola Vásquez, Fabio Sanchez, Luis A. Barboza, Yury E. García, Juan G. Calvo, Shu Wei Chou Chen, Gustavo Mery
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Indirect inference for locally stationary ARMA processes with stable innovations
The class of locally stationary processes assumes that there is a time-varying spectral representation, that is, the existence of finite second moment. We propose the α-stable locally stationary process by modifying the innovations into stable distributions and the indirect inference to estimate this type of model.
Shu Wei Chou Chen, Pedro A. Morettin
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