Intro
Preface
Contents
A Methodological Proposal to Model and Evaluate the Complexity of the Mexican Geo-Electoral System
1 Introduction
2 Methodological Framework
2.1 Conceptualization of Electoral Complexity
2.2 Statistical Indicators for Quantifying Electoral Complexity
2.3 Data Transformation, Electoral Complexity Indices, and Stratification
3 ECI Construction and Stratification
3.1 Exploratory Analysis and PCA Implementation
3.2 Clustering Analysis and Stratification with K-Means
4 Electoral Complexity Ranking and Stratification Results

5 Conclusions
References
A Spatial Analysis of Drug Dealing in Mexico City
1 Introduction
2 Background
2.1 Drug Dealing as Part of Organized Crime
2.2 Research Approaches
3 Methodology
4 Results
4.1 Univariate Global and Local Moran's I
4.2 Bivariate Global and Local Moran's I
5 Discussion and Conclusions
References
Bayesian Hierarchical Multinomial Modeling of the 2021 Mexican Election Outcomes with Censored Samples
1 Introduction
2 Background
2.1 Estimation Methods in the 2021 Quick Count
2.2 NBM Model Background
2.3 The Bias Problem

3 The NBM Model
3.1 Specification
3.2 Consistency of Our Modeling Assumptions
3.3 Fitting Procedure
3.4 Model Adequacy
4 The 2021 Mexican Elections
4.1 Data and Sample Design
4.2 Results
5 Conclusions and Future Work
References
Assessing Hospitalization for SARS-CoV-2 Confirmed Cases by a Cross-Entropy Weighted Ensemble Classifier
1 Introduction
2 Material
2.1 Dataset Description
2.2 Data Analysis
3 Cross-entropy Weighted Ensemble Classifier
4 Results
5 Discussion
6 Conclusion
References

Emotion Analysis to Identify Risk of Committing Suicide Using Statistical Learning
1 Background
2 Materials and Methods
2.1 Emotion Mining
2.2 Statistical Learning Methods
2.3 Training and Test Datasets
3 Results
3.1 Supervised Models
3.2 Unsupervised Model
3.3 Model Comparison
3.4 Testing the Models with a New Test Set: COVID-19
4 Conclusions
References
Characterizing Groups Using Latent Class Mixed Models: Antiretroviral Treatment Adherence Analysis
1 Introduction
2 Materials
2.1 Population
2.2 Data Collection
2.3 ART Adherence Definition

3 Latent Class Mixture Models
4 Results
4.1 Latent Classes from ART Adherence
4.2 Latent Classes for Bivariate Response of CD4/CD8 Ratio and CD4+T Within Groups of Adherence
5 Discussion and Conclusions
References
A Dynamic Model for Analyzing the Public Health Policy of the Mexican Government During the COVID-19 Pandemic
1 Introduction
2 Related Work
3 Methods
3.1 SIRD Model
3.2 Transmission Rate Model
3.3 Recovery Rate Estimation
3.4 Bayesian Inference
4 Results
5 Conclusions
References