Interdisciplinary Statistics in Mexico: AME Virtual Meeting, September 10–11, 2020, and 34 FNE, Acatlán, Mexico, September 22–24, 2021

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
Social Lag in the Municipalities of the State of Guerrero, México
	1 Introduction
	2 Methodology
		2.1 CONEVAL
		2.2 Clustering
	3 Application
	4 Results
		4.1 CONEVAL
		4.2 Cluster
		4.3 Comparison
	5 Conclusions
	References
Challenges in Performing the Quick Counts of the National Electoral Institute in Mexico
	1 Introduction
	2 The Model
	3 The Code
		3.1 The Functional Code
		3.2 First Idea: Use the Sample Design
		3.3 Second Idea: Reach Out to the Community
	4 Concluding Remarks
	References
Sampling Design and Poststratification to Correct Lack of Information in Bayesian Quick Counts
	1 Introduction
	2 Model and Specifications
	3 Sample Design
	4 Incomplete Sample Estimation
		4.1 General Strategy
		4.2 Poststratification
		4.3 Credibility Level Correction
	5 Election Day
	6 Conclusions
	References
Maximum Likelihood Estimation for a Markov-Modulated Jump-Diffusion Model
	1 Introduction
	2 Markov-Modulated Jump-Diffusion Model
	3 Methodology for the Maximum Likelihood Estimators
		3.1 Identify the Jumps of the MJP
		3.2 Estimate the Distribution of the Jumps
		3.3 Estimate the Coefficients of the GBM
		3.4 MLE of Q
	4 Simulation Study
	5 Real Data
	6 Conclusions
	References
Estimating the Composition of the Chamber of Deputies in the Quick Count for the 2021 Federal Election in Mexico
	1 Introduction
		1.1 The Quick Count
	2 The Chamber of Deputies
		2.1 Conformation
	3 Estimation
		3.1 Sampling Design
		3.2 Bootstrap Estimation
	4 Incomplete Samples
		4.1 Multiple Imputation
	5 Election Day: June 6, 2021
		5.1 Election Day Strategy
		5.2 Arrival of Information
		5.3 Estimations
	6 Discussion
	A Appendix: Transforming Votes into Seats in the Deputy Chamber
		A.1 Relative Majority
		A.2 Voting Types Considered in the Law
		A.3 Proportional Representation
	References
Bayesian Analysis of Homicide Rates in Mexico from 2000 to 2012
	1 Introduction
	2 Literature Review
	3 Data
	4 Model Specification
	5 Analysis and Results
	6 Concluding Remarks
	References
Index