Stochastic Models for Time Series

Stochastic Models for Time Series

Doukhan, Paul

Springer International Publishing AG

05/2018

308

Mole

Inglês

9783319769370

15 a 20 dias

510

Descrição não disponível.
Part I Independence and Stationarity.- 1 Probability and Independence.- 2 Gaussian convergence and inequalities.- 3 Estimation concepts.- 4 Stationarity.- Part II Models of time series.- 5 Gaussian chaos.- 6 Linear processes.- 7 Non-linear processes.- 8 Associated processes.- Part III Dependence.- 9 Dependence.- 10 Long-range dependence.- 11 Short-range dependence.- 12 Moments and cumulants.- Appendices.- A Probability and distributions.- B Convergence and processes.- C R scripts used for the gures.- Index- List of figures.
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60G10 37M10 32A25 60F05 60F15 60G18;60G12 60J05 62J12 62M10 62M15 91B84;Non-linear time series;Integer valued models;Markov chains;Stochastic processes;Gaussian convergence;Spectral estimation;Memory models;LARCH-type models;Weak dependence conditions;Functional estimation;Bootstrap;Non-Markove linear models