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Caio Azevedo

Biographic Data

ID9095070
NAMECaio Azevedo
GIVEN NAMESCaio
FAMILY NAMEAzevedo
SIGNATUREAZEVEDO C
AFFILIATIONSUniversidade Estadual de Campinas (UNICAMP)
ORCID0000-0001-9535-292X
VERIFIEDYes
TOTAL WORKS3
TOTAL CITATIONS0
WORKS AS AUTHOR3
WORKS AS EDITOR0
FIRST PUBLICATION YEAR2020
LATEST PUBLICATION YEAR2025
H-INDEX0
  • Bayesian Modeling of Longitudinal Multiple-Group IRT Data with Skewed Latent Distributions and Growth Curves

    José Roberto Silva dos Santos, Caio Lucidius Naberezny Azevedo et al.•ARTICLE•Multivariate Behavioral Research•2025

    In this work, we introduce a multiple-group longitudinal IRT model that accounts for skewed latent trait distributions. Our approach extends the model proposed by Santos et al. in 2022, which introduced a general class of longitudinal IRT models. The latent traits follow a multivariate skew-normal distribution, induced by an antedependence structure with centered skew-normal errors. Additionally, latent mean trajectories are modeled using quadrat…

  • Efeitos espaciais da incerteza e desenvolvimento regional

    Open Access•Fábio Júnior Clemente Gama, Fábio Gama et al.•ARTICLE•Cadernos do Desenvolvimento…•2023

    A partir do arcabouço teórico pós-keynesiano da moeda endógena, este trabalho avalia os efeitos espaciais da incerteza – preferência pela liquidez dos bancos e do público – na atividade econômica de 87 municípios do Estado do Rio de Janeiro (RJ), entre 2000 a 2010. São utilizadas técnicas de análise fatorial, análise de agrupamento e painel espacial para estimar os efeitos espaciais da incerteza sobre o desempenho econômico de diferentes grupos d…

  • Communicating Science With YouTube Videos

    Open Access•Raphaela M Velho, Amanda Merian Freitas Mendes et al.•ARTICLE•Frontiers in Communication•2020

    Recent works about science communication through online videos on YouTube have focused mostly on categorization, content description, and the video's approach to scientific themes. However, still little is known about factors affecting science video popularity on the platform. This study aims to describe the relationship between nine content-related and content-agnostic factors, and the popularity of science videos on YouTube, defined as the numb…

No prominent works on this page.

  • Communicating Science With YouTube Videos

    Open Access•Raphaela M Velho, Amanda Merian Freitas Mendes et al.•ARTICLE•Frontiers in Communication•2020

    Recent works about science communication through online videos on YouTube have focused mostly on categorization, content description, and the video's approach to scientific themes. However, still little is known about factors affecting science video popularity on the platform. This study aims to describe the relationship between nine content-related and content-agnostic factors, and the popularity of science videos on YouTube, defined as the numb…

  • Efeitos espaciais da incerteza e desenvolvimento regional

    Open Access•Fábio Júnior Clemente Gama, Fábio Gama et al.•ARTICLE•Cadernos do Desenvolvimento…•2023

    A partir do arcabouço teórico pós-keynesiano da moeda endógena, este trabalho avalia os efeitos espaciais da incerteza – preferência pela liquidez dos bancos e do público – na atividade econômica de 87 municípios do Estado do Rio de Janeiro (RJ), entre 2000 a 2010. São utilizadas técnicas de análise fatorial, análise de agrupamento e painel espacial para estimar os efeitos espaciais da incerteza sobre o desempenho econômico de diferentes grupos d…

  • Bayesian Modeling of Longitudinal Multiple-Group IRT Data with Skewed Latent Distributions and Growth Curves

    José Roberto Silva dos Santos, Caio Lucidius Naberezny Azevedo et al.•ARTICLE•Multivariate Behavioral Research•2025

    In this work, we introduce a multiple-group longitudinal IRT model that accounts for skewed latent trait distributions. Our approach extends the model proposed by Santos et al. in 2022, which introduced a general class of longitudinal IRT models. The latent traits follow a multivariate skew-normal distribution, induced by an antedependence structure with centered skew-normal errors. Additionally, latent mean trajectories are modeled using quadrat…

Computer Science (2 works) · Art (1 work) · Artificial Intelligence (1 work) · Bayesian inference (1 work) · Bayesian Methods and Mixture Models (1 work) · Bayesian probability (1 work) · Bayesian statistics (1 work) · Categorization (1 work) · Chemistry (1 work) · Climate Change Communication and Perception (1 work)

Ethnos_APP • Open Source Project • MIT License • Frontend v2.0.0 • Privacy and Cookies • API Documentation: api.ethnos.app/docs • API Source Code: GitHub • DOI: 10.5281/zenodo.17049435 • Frontend Source Code: GitHub • DOI: 10.5281/zenodo.17050053 • cruz.rio.br • Expectantes Misericordiae