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[null,"1.","Record Nr.",null,"UNINA9910155167403321"]
[null,null,"Autore",null,"Babic"]
[null,null,"Titolo",null,"L'interpretation Et La Representation Du Moyen Age Sous Le Second Empire"]
[null,null,"Pubbl/distr/stampa",null,"Editions L'Harmattan, 2016"]
[null,null,"ISBN",null,"2-336-39998-9"]
[null,null,"Descrizione fisica",null,"1 online resource (624 p.) : ill"]
[null,null,"Collana",null,"Chemins de la Memoire"]
[null,null,"Disciplina",null,"944.06"]
[null,null,"Soggetti",null,"Historiography - France"]
[{"$nulls":4},"Memory - History"]
[{"$nulls":4},"Medievalism - France - History - 19th century"]
[{"$nulls":4},"Middle Ages - Historiography - History - 19th century"]
[{"$nulls":4},"Arts, French - 19th century"]
[{"$nulls":4},"French literature - Medieval influences"]
[{"$nulls":4},"Middle Ages in literature"]
[{"$nulls":4},"Middle Ages in art"]
[{"$nulls":4},"Civilization, Medieval, in literature"]
[{"$nulls":4},"Civilization, Medieval, in art"]
[{"$nulls":4},"France History To 987 Historiography"]
[{"$nulls":4},"France History Medieval period, 987-1515 Historiography"]
[{"$nulls":4},"France History To 987 Sources"]
[{"$nulls":4},"France History Medieval period, 987-1515 Sources"]
[{"$nulls":4},"France Intellectual life 19th century"]
[{"$nulls":4},"France Civilization 19th century"]
[{"$nulls":4},"France Civilization Medieval influences"]
[null,null,"Lingua di pubblicazione",null,"Francese"]
[null,null,"Formato",null,"Materiale a stampa"]
[null,null,null,"Livello bibliografico","Monografia"]
[null,null,null,"Sommario/riassunto","L'interpretation du Moyen Age sous le Second Empire se reduit-elle aux normes historiques, archeologiques, sociales et philosophiques de l'epoque ? L'auteur montre que le Moyen Age loin d'etre un simple miroir, faconne les mentalites. Sa representation litteraire et artistique trouve un echo dans l'imaginaire collectif qui l'investit affectivement. Enfin, sa reception comporte en germe certaines methodes et concepts historiques du siecle suivant. (CD-Rom a l'interieur)."]
[null,"2.","Record Nr.",null,"UNINA9910508455703321"]
[null,null,"Autore",null,"Zagidullina Aygul"]
[null,null,"Titolo",null,"High-Dimensional Covariance Matrix Estimation : An Introduction to Random Matrix Theory / / by Aygul Zagidullina"]
[null,null,"Pubbl/distr/stampa",null,"Cham : , : Springer International Publishing : , : Imprint : Springer, , 2021"]
[null,null,"ISBN",null,"9783030800659"]
[{"$nulls":4},"3030800652"]
[null,null,"Edizione",null,"[1st ed. 2021.]"]
[null,null,"Descrizione fisica",null,"1 online resource (123 pages)"]
[null,null,"Collana",null,"SpringerBriefs in Applied Statistics and Econometrics, , 2524-4124"]
[null,null,"Disciplina",null,"512.9434"]
[null,null,"Soggetti",null,"Statistics"]
[{"$nulls":4},"Econometrics"]
[{"$nulls":4},"Big data"]
[{"$nulls":4},"Machine learning"]
[{"$nulls":4},"Statistics in Business, Management, Economics, Finance, Insurance"]
[{"$nulls":4},"Big Data"]
[{"$nulls":4},"Statistical Theory and Methods"]
[{"$nulls":4},"Machine Learning"]
[null,null,"Lingua di pubblicazione",null,"Inglese"]
[null,null,"Formato",null,"Materiale a stampa"]
[null,null,null,"Livello bibliografico","Monografia"]
[null,null,"Nota di contenuto",null,"Foreword -- 1 Introduction -- 2 Traditional Estimators and Standard Asymptotics -- 3 Finite Sample Performance of Traditional Estimators -- 4 Traditional Estimators and High-Dimensional Asymptotics -- 5 Summary and Outlook -- Appendices."]
[null,null,null,"Sommario/riassunto","This book presents covariance matrix estimation and related aspects of random matrix theory. It focuses on the sample covariance matrix estimator and provides a holistic description of its properties under two asymptotic regimes: the traditional one, and the high-dimensional regime that better fits the big data context. It draws attention to the deficiencies of standard statistical tools when used in the high-dimensional setting, and introduces the basic concepts and major results related to spectral statistics and random matrix theory under high-dimensional asymptotics in an understandable and reader-friendly way. The aim of this book is to inspire applied statisticians, econometricians, and machine learning practitioners who analyze high-dimensional data to apply the recent developments in their work."]