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New Frontiers in Statistics and Data Science

SPE2023, Guimarães, Portugal, October 11-14

Luís Meira Machado (Hrsg.), Susana Faria (Hrsg.), Raquel Menezes (Hrsg.), Lígia Henriques-Rodrigues (Hrsg.), Miguel de Carvalho (Hrsg.)

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ca. 235,39

Springer Nature Switzerland img Link Publisher

Naturwissenschaften, Medizin, Informatik, Technik / Wahrscheinlichkeitstheorie, Stochastik, Mathematische Statistik

Beschreibung

This volume showcases a collection of thirty-two peer-reviewed articles presented at the XXVI Congress of the Portuguese Statistical Society (2023). It covers a wide range of cutting-edge topics in both theoretical and applied statistics. Each contribution highlights the latest advancements and research in the field, offering valuable insights and innovative methodologies for researchers and practitioners alike. Readers with a background in mathematics and statistics will find it particularly beneficial, while researchers from various scientific disciplines can explore numerous robust applications.

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Schlagwörter

Machine Learning, Experimental Design, Data Science, Spatial Statistics, Time Series, Extremes, Stochastic Processes, Survival Analysis, Big Data, Applied Statistics, Sampling, Bayesian Inference