Projects per year
Personal profile
Expertise related to UN Sustainable Development Goals
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):
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Collaborations and top research areas from the last five years
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Modelos de Regresión para variables limitadas
Valdivieso Serrano, L. H. (PI) & Bayes Rodriguez, C. L. (CoI)
Project: Research
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Regression models: Extensions and applications
Sal Y Rosas Celi, V. G. (PI), Bayes Rodriguez, C. L. (CoI), Daniel, D. (CoI) & Valdivieso Serrano, L. H. (CoI)
Project: Research
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Statistical Methods for Cluster Randomized Trials
Bayes Rodriguez, C. L. (PI), Sal Y Rosas Celi, V. G. (CoI), Valdivieso Serrano, L. H. (CoI), Ana Paula, A. P. (Other) & Gutierrez Ayala, E. P. (Other)
Project: Research
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Spatial-temporal bayesian models: extensions and applications
Valdivieso Serrano, L. H. (PI), Bayes Rodriguez, C. L. (CoI) & Quiroz Cornejo, Z. J. (CoI)
Project: Research
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Modelos de regresión longitudinales para variables limitadas
Valdivieso Serrano, L. H. (PI), Bayes Rodriguez, C. L. (CoI), Sal Y Rosas Celi, V. G. (CoI) & Ana Paula, A. P. (Other)
Project: Research
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A robust regression model for bounded count health data
Bayes, C. L., Bazán, J. L. & Valdivieso, L., Aug 2024, In: Statistical Methods in Medical Research. 33, 8, p. 1392-1411 20 p.Research output: Contribution to journal › Article › peer-review
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Bayesian quantile regression models for heavy tailed bounded variables using the No-U-Turn sampler
de Oliveira, E. S. B., de Castro, M., Bayes, C. L. & Bazán, J. L., 2022, (Accepted/In press) In: Computational Statistics.Research output: Contribution to journal › Article › peer-review
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Bayesian quantile regression models for heavy tailed bounded variables using the No-U-Turn sampler
de Oliveira, E. S. B., de Castro, M., Bayes, C. L. & Bazán, J. L., 1 Nov 2022, In: Computational Statistics.Research output: Contribution to journal › Article › peer-review
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Robust beta regression modeling with errors-in-variables: a Bayesian approach and numerical applications
Figueroa-Zúñiga, J. I., Bayes, C. L., Leiva, V. & Liu, S., Jun 2022, In: Statistical Papers. 63, 3, p. 919-942 24 p.Research output: Contribution to journal › Article › peer-review
12 Scopus citations -
Robust beta regression modeling with errors-in-variables: a Bayesian approach and numerical applications
Figueroa-Zúñiga, J. I., Bayes, C. L., Leiva, V. & Liu, S., 1 Jan 2021, In: Statistical Papers.Research output: Contribution to journal › Article › peer-review
12 Scopus citations