Ronald Ecklmair, Claudia Ibacache-Quirogab, M. Alejandro Dinamarcab, Jozef Kiseľák, Bastián Eduardo Barraza, Milan Stehlík
{"title":"复杂行政数据分析:神经网络、建模和预测","authors":"Ronald Ecklmair, Claudia Ibacache-Quirogab, M. Alejandro Dinamarcab, Jozef Kiseľák, Bastián Eduardo Barraza, Milan Stehlík","doi":"10.1080/07362994.2023.2295248","DOIUrl":null,"url":null,"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...","PeriodicalId":49474,"journal":{"name":"Stochastic Analysis and Applications","volume":"465 1","pages":""},"PeriodicalIF":0.8000,"publicationDate":"2024-01-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"On analysis of complex administrative data: neural networks, modelling and prediction\",\"authors\":\"Ronald Ecklmair, Claudia Ibacache-Quirogab, M. Alejandro Dinamarcab, Jozef Kiseľák, Bastián Eduardo Barraza, Milan Stehlík\",\"doi\":\"10.1080/07362994.2023.2295248\",\"DOIUrl\":null,\"url\":null,\"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...\",\"PeriodicalId\":49474,\"journal\":{\"name\":\"Stochastic Analysis and Applications\",\"volume\":\"465 1\",\"pages\":\"\"},\"PeriodicalIF\":0.8000,\"publicationDate\":\"2024-01-25\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Stochastic Analysis and Applications\",\"FirstCategoryId\":\"100\",\"ListUrlMain\":\"https://doi.org/10.1080/07362994.2023.2295248\",\"RegionNum\":4,\"RegionCategory\":\"数学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"MATHEMATICS, APPLIED\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Stochastic Analysis and Applications","FirstCategoryId":"100","ListUrlMain":"https://doi.org/10.1080/07362994.2023.2295248","RegionNum":4,"RegionCategory":"数学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"MATHEMATICS, APPLIED","Score":null,"Total":0}
On analysis of complex administrative data: neural networks, modelling and prediction
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...
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.