Description

Book Synopsis

Nowadays, data analysis is becoming an appealing topic due to the emergence of new data types, dimensions, and sources. This motivates the development of probabilistic/statistical approaches and tools to cope with these data. Different communities of experts, namely statisticians, mathematicians, computer scientists, engineers, econometricians, and psychologists are more and more interested in facing this challenge. As a consequence, there is a clear need to build bridges between all these communities for Data Science.

This book contains more than fifty selected recent contributions aiming to establish the above referred bridges. These contributions address very different and relevant aspects such as imprecise probabilities, information theory, random sets and random fuzzy sets, belief functions, possibility theory, dependence modelling and copulas, clustering, depth concepts, dimensionality reduction of complex data and robustness.

Building Bridges between Soft and Statistical

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£179.99

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Order before 4pm today for delivery by Mon 26 Jan 2026.

A Paperback / softback by Luis A. García-Escudero, Alfonso Gordaliza, Agustín Mayo

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    View other formats and editions of Building Bridges between Soft and Statistical by Luis A. García-Escudero

    Publisher: Springer International Publishing AG
    Publication Date: 26/08/2022
    ISBN13: 9783031155086, 978-3031155086
    ISBN10: 3031155084
    Also in:
    Artificial intelligence (AI) Databases / Data management

    Description

    Book Synopsis

    Nowadays, data analysis is becoming an appealing topic due to the emergence of new data types, dimensions, and sources. This motivates the development of probabilistic/statistical approaches and tools to cope with these data. Different communities of experts, namely statisticians, mathematicians, computer scientists, engineers, econometricians, and psychologists are more and more interested in facing this challenge. As a consequence, there is a clear need to build bridges between all these communities for Data Science.

    This book contains more than fifty selected recent contributions aiming to establish the above referred bridges. These contributions address very different and relevant aspects such as imprecise probabilities, information theory, random sets and random fuzzy sets, belief functions, possibility theory, dependence modelling and copulas, clustering, depth concepts, dimensionality reduction of complex data and robustness.

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