On analysis of complex administrative data: neural networks, modelling and prediction

IF 0.8 4区数学 Q3 MATHEMATICS, APPLIED

Stochastic Analysis and Applications Pub Date : 2024-01-25 DOI:10.1080/07362994.2023.2295248

Ronald Ecklmair, Claudia Ibacache-Quirogab, M. Alejandro Dinamarcab, Jozef Kiseľák, Bastián Eduardo Barraza, Milan Stehlík

引用次数: 0

Abstract

Eco-geographical heterogenicity of countries such as Chile and in cities exhibiting a territorial and demographic important diversity is relevant for the epidemiological studies of the apparition a...

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复杂行政数据分析：神经网络、建模和预测

智利等国的生态地理异质性，以及城市在地域和人口方面的多样性，对流行病学的研究具有重要意义。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Stochastic Analysis and Applications 数学-统计学与概率论

CiteScore

2.70

自引率

7.70%

发文量

审稿时长

6-12 weeks

期刊介绍： Stochastic Analysis and Applications presents the latest innovations in the field of stochastic theory and its practical applications, as well as the full range of related approaches to analyzing systems under random excitation. In addition, it is the only publication that offers the broad, detailed coverage necessary for the interfield and intrafield fertilization of new concepts and ideas, providing the scientific community with a unique and highly useful service.