4 citations · 12 across the 16 of their papers we have counts for
16 papers
Statistics in the Age of AI
Juan Sosa, Brenda Betancourt
Artificial intelligence (AI) can automate programming, model fitting, visualization, simulation, literature synthesis, and increasingly sophisticated methodological tasks, but it c…
Bayesian Analysis for Social Science Research
Carolina Luque, Juan Sosa
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…
Conditional Relative Risk: An association measure for longitudinal data analysis
Lina Buitrago, Juan Sosa, Oscar Melo
In this paper, we propose a novel association measure for longitudinal studies based on the traditional definition of relative risk. In a Markovian fashion, such a proposal takes i…
A robust Bayesian latent position approach for community detection in networks with continuous attributes
Zhumengmeng Jin, Juan Sosa, Shangchen Song +1
The increasing prevalence of multiplex networks has spurred a critical need to take into account potential dependencies across different layers, especially when the goal is communi…
Operationalizing Legislative Bodies: A Methodological and Empirical Perspective
Carolina Luque, Juan Sosa
This manuscript extensively reviews applications, extensions, and models derived from the Bayesian ideal point estimator. We primarily focus our attention on studies conducted in t…
Bayesian modeling of the political preferences of the Colombian Senate 2006-2010: electoral behavior and parapolitics
Juan Valero, Juan Sosa, Carolina Luque
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-…
Small area estimation using multiple imputation in three-parameter logistic models
Cristian Tellez-Piñerez, Leonardo Trujillo, Andrés Gutiérrez-Rojas +1
We propose a novel methodology relating item response theory methods with small area estimation strategies in the presence of missing data. Specifically, we propose an unbiased est…
Some Case Studies Using Bayesian Statistical Models
Juan Sosa, Lina Buitrago
We provide four case studies that use Bayesian machinery to making inductive reasoning. Our main motivation relies in offering several instances where the Bayesian approach to data…
A Gentle Introduction to Bayesian Hierarchical Linear Regression Models
Juan Sosa, Jeimy Aristizabal
Considering the flexibility and applicability of Bayesian modeling, in this work we revise the main characteristics of two hierarchical models in a regression setting. We study the…
Time-Varying Coefficient Model Estimation Through Radial Basis Functions
Juan Sosa, Lina Buitrago
In this paper we estimate the dynamic parameters of a time-varying coefficient model through radial kernel functions in the context of a longitudinal study. Our proposal is based o…
A Latent Space Model for Multilayer Network Data
Juan Sosa, Brenda Betancourt
In this work, we propose a Bayesian statistical model to simultaneously characterize two or more social networks defined over a common set of actors. The key feature of the model i…
A Review of Latent Space Models for Social Networks
Juan Sosa, Lina Buitrago
In this paper, we provide a review on both fundamentals of social networks and latent space modeling. The former discusses important topics related to network description, includin…
A Prior for Record Linkage Based on Allelic Partitions
Brenda Betancourt, Juan Sosa, Abel Rodríguez
In database management, record linkage aims to identify multiple records that correspond to the same individual. This task can be treated as a clustering problem, in which a latent…
A Bayesian Approach for De-duplication in the Presence of Relational Data
Juan Sosa, Abel Rodriguez
In this paper, we study the impact of combining profile and network data in a de-duplication setting. We also assess the influence of a range of prior distributions on the linkage…
A Record Linkage Model Incorporating Relational Data
Juan Sosa, Abel Rodriguez
In this paper we introduce a novel Bayesian approach for linking multiple social networks in order to discover the same real world person having different accounts across networks.…
A Latent Space Model for Cognitive Social Structures Data
Juan Sosa, Abel Rodriguez
This paper introduces a novel approach for modeling a set of directed, binary networks in the context of cognitive social structures (CSSs) data. We adopt a relativist approach in…