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Book
Interdisciplinary statistics in Mexico : AME virtual meeting, September 10-11, 2020, and 34 FNE, Acatlán, Mexico, September 22-24, 2021
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ISBN: 3031127781 3031127773 Year: 2022 Publisher: Cham, Switzerland : Springer,


Book
Bayesian statistics in action : BAYSM 2016, Florence, Italy, June 19-21
Authors: --- --- ---
ISBN: 331954084X 3319540831 Year: 2017 Publisher: Cham : Springer International Publishing : Imprint: Springer,

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Abstract

This book is a selection of peer-reviewed contributions presented at the third Bayesian Young Statisticians Meeting, BAYSM 2016, Florence, Italy, June 19-21. The meeting provided a unique opportunity for young researchers, M.S. students, Ph.D. students, and postdocs dealing with Bayesian statistics to connect with the Bayesian community at large, to exchange ideas, and to network with others working in the same field. The contributions develop and apply Bayesian methods in a variety of fields, ranging from the traditional (e.g., biostatistics and reliability) to the most innovative ones (e.g., big data and networks).


Book
Selected Contributions on Statistics and Data Science in Latin America : 33 FNE and 13 CLATSE, 2018, Guadalajara, Mexico, October 1−5
Authors: --- --- --- ---
ISBN: 3030315517 3030315509 Year: 2019 Publisher: Cham : Springer International Publishing : Imprint: Springer,

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Abstract

The volume includes a collection of peer-reviewed contributions from among those presented at the main conference organized yearly by the Mexican Statistical Association (AME) and every two years by a Latin-American Confederation of Statistical Societies. For the 2018 edition, particular attention was placed on the analysis of highly complex or large data sets, which have come to be known as “big data”. Statistical research in Latin America is prolific and research networks span within and outside the region. The goal of this volume is to provide access to selected works from Latin-American collaborators and their research networks to a wider audience. New methodological advances, motivated in part by the challenges of a data-driven world and the Latin American context, will be of interest to academics and practitioners around the world. .

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