02362nam0 22004333i 450 VAN0017879520240806101056.922N978981287811320210709d2016 |0itac50 baengSG|||| |||||Phenomenological Structure for the Large Deviation Principle in Time-Series Statisticsa method to control the rare events in non-equilibrium systemsDoctoral Thesis accepted by Kyoto University, Kyoto, JapanTakahiro NemotoSingaporeSpringer2016xiii, 127 p.ill.24 cm001VAN001041932001 Springer thesesrecognizing outstanding Ph.D. research210 BerlinSpringer2010-VAN00178796Phenomenological Structure for the Large Deviation Principle in Time-Series Statistics182145700A79 (77-XX)Physics [MSC 2020]VANC023182MF62M10Time series, auto-correlation, regression, etc. in statistics (GARCH) [MSC 2020]VANC025079MF62P35Applications of statistics to physics [MSC 2020]VANC033593MF82-XXStatistical mechanics, structure of matter [MSC 2020]VANC021931MF82C05Classical dynamic and nonequilibrium statistical mechanics (general) [MSC 2020]VANC021229MFAsymmetric-Simple-Exclusion-ProcessKW:KFluctuation theoremKW:KKinetically constrained modelKW:KLarge deviation functionsKW:KRare-event samplingsKW:KThermodynamic formalismKW:KSGSingaporeVANL000061NemotoTakahiroVANV160802816197Springer <editore>VANV108073650ITSOL20241115RICAhttp://doi.org/10.1007/978-981-287-811-3E-book – Accesso al full-text attraverso riconoscimento IP di Ateneo, proxy e/o ShibbolethBIBLIOTECA DEL DIPARTIMENTO DI MATEMATICA E FISICAIT-CE0120VAN08NVAN00178795BIBLIOTECA DEL DIPARTIMENTO DI MATEMATICA E FISICA08DLOAD e-book 2986 08eMF2986 20210709 Phenomenological Structure for the Large Deviation Principle in Time-Series Statistics1821457UNICAMPANIA