02078nam0 22004933i 450 VAN027744820240712021913.285N978303073792420240610d2022 |0itac50 baengCH|||| |||||Fundamentals of High-Dimensional StatisticsWith Exercises and R LabsJohannes LedererChamSpringer2022xiv, 355 p.ill.24 cm001VAN00367912001 Springer texts in statistics210 Berlin [etc.]Springer1985-62-XXStatistics [MSC 2020]VANC022998MF62H22Probabilistic graphical models [MSC 2020]VANC037883MF62J07Ridge regression; shrinkage estimators (Lasso) [MSC 2020]VANC031204MF62R07Statistical aspects of big data and data science [MSC 2020]VANC026514MFCalibrationKW:KEstimationKW:KGraphical ModelsKW:KHigh dimensional inferenceKW:KHigh-Dimensional DataKW:KHigh-dimensional statisticsKW:KLassoKW:KLinear regressionKW:KPredictionKW:KR labsKW:KRegularizationKW:KSparsityKW:KStatistical inferenceKW:KCHChamVANL001889LedererJohannesVANV2299091076955Springer <editore>VANV108073650ITSOL20240719RICAhttps://doi.org/10.1007/978-3-030-73792-4E-book – Accesso al full-text attraverso riconoscimento IP di Ateneo, proxy e/o ShibbolethBIBLIOTECA DEL DIPARTIMENTO DI MATEMATICA E FISICAIT-CE0120VAN08NVAN0277448BIBLIOTECA DEL DIPARTIMENTO DI MATEMATICA E FISICA08CONS e-Book 8734 08eMF8734 20240618 Fundamentals of High-Dimensional Statistics2588386UNICAMPANIA