Title Interdisciplinary statistics in Mexico : AME virtual meeting, September 10-11, 2020, and 34 FNE, Acatlán, Mexico, September 22-24 2021, selected contributions / Isadora Antoniano-Villalobos, Ruth Fuentes-García, Lizbeth Naranjo, Luis E. Nieto-Barajas, Silvia Ruiz-Velasco Acosta, editors

Published Cham : Springer, 2022

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Description 1 online resource (234 p.) Series Springer Proceedings in Mathematics and Statistics ; v.397 Springer proceedings in mathematics & statistics ; v. 397. Contents 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 Summary The volume includes a collection of peer-reviewed contributions from among those presented at the FNE, the main conference organized every two years by the Mexican Statistical Society (AME), and the 2020 AME Virtual Meeting. Statistical research in Latin America is prolific and research networks span both within and outside the region. As much of the work is typically carried out and published in Spanish, a large portion of the interested public is denied access to interesting findings, and the goal of this volume is therefore to provide access to selected works from Mexican collaborators and their international research networks to a wider audience. It may be especially attractive to academics interested in the latest methodological advances, while professionals from other disciplines may also find value in these new tools for data analysis. In 2021, the conference broadly focused on the interdisciplinary aspects of Statistics Notes Social Lag in the Municipalities of the State of Guerrero, México Includes index Online resource; title from PDF title page (SpringerLink, viewed December 13, 2022) Subject Mathematical statistics -- Congresses Estadística matemática -- Congresos Mathematical statistics Genre/Form proceedings (reports) Conference papers and proceedings Conference papers and proceedings. Actes de congrès. Form Electronic book Author Antoniano-Villalobos, Isadora Fuentes-García, Ruth Naranjo, Lizbeth. Nieto-Barajas, Luis E Ruiz-Velasco Acosta, Silvia Foro Nacional de Estadística (34th : 2021 : Online) ISBN 9783031127786 3031127781

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