{"product_id":"on-spatio-temporal-data-modelling-and-uncertainty-quantification-using-machine-learning-and-information-theory-springer-nature-switzerland-ag-9783030952334-fabian-guignard","title":"On Spatio-Temporal Data Modelling and Uncertainty Quantification Using Machine Learning and Information Theory","description":"\u003cp\u003eParticular attention is also paid to a highly versatile exploratory data analysis tool based on information theory, the Fisher-Shannon analysis, which can be used to assess the complexity of distributional properties of temporal, spatial and spatio-temporal data sets.\u003c\/p\u003e","brand":"Fabian Guignard","offers":[{"title":"Default Title","offer_id":52265953460566,"sku":"9783030952334","price":157.62,"currency_code":"EUR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0886\/3206\/6390\/files\/9783030952334.jpg?v=1767798542","url":"https:\/\/www.englishbook.fi\/products\/on-spatio-temporal-data-modelling-and-uncertainty-quantification-using-machine-learning-and-information-theory-springer-nature-switzerland-ag-9783030952334-fabian-guignard","provider":"Bookshop","version":"1.0","type":"link"}