{"product_id":"9783032241405","title":"Models for Longitudinal Data with Applications to Early Warning Systems Workshops of the PRIN Project, Perugia, Italy, 19 September 2024, 11 September 2025 and 23 January 2026","description":"\u003ch3\u003eSpringer Proceedings in Mathematics \u0026amp; Statistics\u003c\/h3\u003e\u003ch1\u003eModels for Longitudinal Data with Applications to Early Warning Systems\u003c\/h1\u003e\u003ch2\u003eWorkshops of the PRIN Project, Perugia, Italy, 19 September 2024, 11 September 2025 and 23 January 2026\u003c\/h2\u003e\u003ch3\u003eFrancesco Bartolucci | Paolo Li Donni | Fulvia Pennoni | Claudia Pigini\u003c\/h3\u003e\u003cdiv\u003e\u003cb\u003eMathematics \/ Probability \u0026amp; Statistics \/ General\u003c\/b\u003e\u003c\/div\u003e\u003cbr\u003e\u003cdiv\u003e\u003cp\u003e\u003cspan lang=\"EN-GB\" style=\"font-size: 11.0pt; line-height: 115%; font-family: 'Times New Roman',serif; mso-fareast-font-family: Calibri; mso-fareast-theme-font: minor-latin; color: black; mso-ansi-language: EN-GB; mso-fareast-language: EN-GB; mso-bidi-language: AR-SA;\"\u003eThis open access book addresses key methodological and applied issues in rare event forecasting, with a particular focus on early warning systems based on hidden Markov models. It brings together recent advances developed by a cohesive and multidisciplinary group of researchers. A distinctive feature of the volume is its strong emphasis on real-world problems in economics, finance and health, illustrated using empirical datasets.\u003c\/span\u003e\u003c\/p\u003e\u003c\/div\u003e\u003cdiv\u003e\n\u003cp class=\"MsoNormal\" style=\"mso-margin-top-alt: auto; margin-bottom: .0001pt; line-height: normal;\"\u003e\u003cspan lang=\"EN-GB\" style=\"font-family: 'Times New Roman',serif; mso-fareast-font-family: 'Times New Roman'; color: black; mso-font-kerning: 0pt; mso-ligatures: none; mso-fareast-language: EN-GB;\"\u003eFrancesco Bartolucci is a Full Professor of Statistics at the University of Perugia, fellow of the Institute of Mathematical Statistics, and Editor of Statistical Modelling: An International Journal. His research is in statistics and econometrics, focusing mainly on latent variable models, in particular hidden Markov models, for complex data with applications in different fields, ranging from economics to health.\u003c\/span\u003e\u003c\/p\u003e\r\n\u003cp class=\"MsoNormal\" style=\"mso-margin-top-alt: auto; margin-bottom: .0001pt; line-height: normal;\"\u003e\u003cspan lang=\"EN-GB\" style=\"font-family: 'Times New Roman',serif; mso-fareast-font-family: 'Times New Roman'; color: black; mso-font-kerning: 0pt; mso-ligatures: none; mso-fareast-language: EN-GB;\"\u003e Paolo Li Donni is Full Professor of Public Economics at the University of Palermo. His research lies at the intersection of econometrics, public finance, and health economics. It combines applied microeconometrics with structural and Bayesian approaches to study healthcare demand, provider competition, and the organization of hospital and primary-care networks.\u003c\/span\u003e\u003c\/p\u003e\r\n\u003cp class=\"MsoNormal\" style=\"mso-margin-top-alt: auto; margin-bottom: .0001pt; line-height: normal;\"\u003e\u003cspan lang=\"EN-GB\" style=\"font-family: 'Times New Roman',serif; mso-fareast-font-family: 'Times New Roman'; color: black; mso-font-kerning: 0pt; mso-ligatures: none; mso-fareast-language: EN-GB;\"\u003e Fulvia Pennoni is Full Professor of Statistics at the University of Milano-Bicocca. Her research focuses on latent variable models, including hidden Markov models, with applications in social sciences, health, and finance. She is the author of numerous international \u003c\/span\u003e\u003cspan lang=\"EN-GB\" style=\"font-family: 'Times New Roman',serif; mso-fareast-font-family: 'Times New Roman'; color: #242424; mso-font-kerning: 0pt; mso-ligatures: none;\"\u003escientific\u003c\/span\u003e\u003cspan lang=\"EN-GB\" style=\"font-family: 'Times New Roman',serif; mso-fareast-font-family: 'Times New Roman'; color: black; mso-font-kerning: 0pt; mso-ligatures: none; mso-fareast-language: EN-GB;\"\u003e publications and two books in statistical modelling.\u003c\/span\u003e\u003c\/p\u003e\r\n\u003cp class=\"MsoNormal\" style=\"mso-margin-top-alt: auto; margin-bottom: .0001pt; line-height: normal;\"\u003e\u003cspan lang=\"EN-GB\" style=\"font-family: 'Times New Roman',serif; mso-fareast-font-family: 'Times New Roman'; color: black; mso-font-kerning: 0pt; mso-ligatures: none; mso-fareast-language: EN-GB;\"\u003e Claudia Pigini is Associate Professor of Econometrics at the Marche Polytechnic University. Her research focuses on panel data models, with applications in several areas of economics, including labor economics, household finance, the economics of innovation, and banking. She is the author of international publications in microeconometrics and applied economics.\u003c\/span\u003e\u003c\/p\u003e\n\u003c\/div\u003e\u003cbr\u003e\u003ctable\u003e\n\u003ctr\u003e\n\u003ctd\u003ePublication Date: \u003c\/td\u003e\n\u003ctd\u003e24 August 2026\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003ePublisher: \u003c\/td\u003e\n\u003ctd\u003eUniversity of Perugia\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eImprint: \u003c\/td\u003e\n\u003ctd\u003eSpringer\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eISBN-13: \u003c\/td\u003e\n\u003ctd\u003e9783032241405\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eFormat: \u003c\/td\u003e\n\u003ctd\u003eHardback\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003ePage Count: \u003c\/td\u003e\n\u003ctd\u003e198\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/table\u003e","brand":"University of Perugia","offers":[{"title":"Default Title","offer_id":46630694781068,"sku":"9783032241405","price":53.99,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0710\/9545\/1788\/files\/9783032241405.jpg?v=1781058558","url":"https:\/\/fh90cf-fv.myshopify.com\/products\/9783032241405","provider":"Late Knight Books and Services, LLC","version":"1.0","type":"link"}