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Selected Contributions on Statistics and Data Science in Latin America

Overview of attention for book
Cover of 'Selected Contributions on Statistics and Data Science in Latin America'

Table of Contents

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    Book Overview
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    Chapter 1 A Heavy-Tailed Multilevel Mixture Model for the Quick Count in the Mexican Elections of 2018
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    Chapter 2 Bayesian Estimation for the Markov-Modulated Diffusion Risk Model
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    Chapter 3 Meta-Analysis in DTA with Hierarchical Models Bivariate and HSROC: Simulation Study
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    Chapter 4 Compound Dirichlet Processes
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    Chapter 5 An Efficient Method to Determine the Degree of Overlap of Two Multivariate Distributions
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    Chapter 6 Clustering via Nonsymmetric Partition Distributions
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    Chapter 7 A Flexible Replication-Based Classification Approach for Parkinson’s Disease Detection by Using Voice Recordings
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    Chapter 8 Calibration of Population Growth Mathematical Models by Using Time Series
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    Chapter 9 Impact of the Red Code Process Using Structural Equation Models
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    Chapter 10 On a Construction of Stationary Processes via Bilateral Matrix-Exponential Distributions
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    Chapter 11 BoostNet: Bootstrapping Detection of Socialbots, and a Case Study from Guatemala
Attention for Chapter 4: Compound Dirichlet Processes
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Readers on

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3 Mendeley
Summary
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Chapter title
Compound Dirichlet Processes
Chapter number 4
Book title
Selected Contributions on Statistics and Data Science in Latin America
Published by
Springer, Cham, October 2018
DOI 10.1007/978-3-030-31551-1_4
Book ISBNs
978-3-03-031550-4, 978-3-03-031551-1
Authors

Arrigo Coen, Beatriz Godínez-Chaparro, Coen, Arrigo, Godínez-Chaparro, Beatriz

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 3 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 3 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 2 67%
Professor 1 33%
Readers by discipline Count As %
Unknown 3 100%

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