期刊全稱 | Building Bridges between Soft and Statistical Methodologies for Data Science | 影響因子2023 | Luis A. García-Escudero,Alfonso Gordaliza,Olgierd | 視頻video | http://file.papertrans.cn/192/191594/191594.mp4 | 發(fā)行地址 | Latest research on Data Analysis and Soft Computing.Covers results of the 10th International Conference on Soft Methods in Probability and Statistics (SMPS 2022).Presents current research on the fusio | 學(xué)科分類 | Advances in Intelligent Systems and Computing | 圖書封面 |  | 影響因子 | .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.. | Pindex | Conference proceedings 2023 |
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