Zobrazeno 1 - 10
of 52
pro vyhledávání: '"Luque, Carolina"'
In this article, we make an innovative adaptation of a Bayesian latent space model based on projections in a novel way to analyze influence networks. By appropriately reparameterizing the model, we establish a formal metric for quantifying each indiv
Externí odkaz:
http://arxiv.org/abs/2408.13606
Statistical analysis of social networks is a predominant methodology in political science research. In this article we implement network methods to characterize the presidential inauguration speech and identify political communities in Colombia. We p
Externí odkaz:
http://arxiv.org/abs/2306.13989
Autor:
Luque, Carolina, Sosa, Juan
In this manuscript, we discuss the substantial importance of Bayesian reasoning in Social Science research. Particularly, we focus on foundational elements to fit models under the Bayesian paradigm. We aim to offer a frame of reference for a broad au
Externí odkaz:
http://arxiv.org/abs/2306.11966
Autor:
Luque, Carolina, Sosa, Juan
This manuscript extensively reviews applications, extensions, and models derived from the Bayesian ideal point estimator. We primarily focus our attention on studies conducted in the United States as well as Latin America. First, we provide a detaile
Externí odkaz:
http://arxiv.org/abs/2211.17066
In this paper, a Bayesian spatial voting model is applied for the first time to characterize the legislative behavior of the Senate of the Republic of Colombia for the period 2006-2010. The analysis is carried out based on the plenary nominal votes o
Externí odkaz:
http://arxiv.org/abs/2211.16723
Autor:
Luque, Carolina, Sosa, Juan
This paper applies Bayesian methodologies to characterize the legislative behavior of the Colombian Senate during the period 2010-2014. The analysis is carried out through the plenary roll call votes of this legislative chamber. In addition, parliame
Externí odkaz:
http://arxiv.org/abs/2110.10250
Autor:
Luque, Carolina
Spectrally pure signals are an indispensable requirement when the Signal Generator (SG) is to be used as part of a test bed. However, even sophisticated equipment may not comply with the needs imposed by certain applications. This work approaches the
Externí odkaz:
http://urn.kb.se/resolve?urn=urn:nbn:se:hig:diva-231
Autor:
Luque, Carolina, Sosa, Juan
Publikováno v:
Model Assisted Statistics & Applications; 2024, Vol. 19 Issue 2, p173-195, 23p
Akademický článek
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Autor:
Luque, Carolina1, Sosa, Juan1 jcsosam1983@gmail.com
Publikováno v:
Journal of Applied Statistics. Dec2023, Vol. 50 Issue 16, p3362-3383. 22p.