Selected article for: "autoregressive order and model autoregressive"

Author: Livio Fenga
Title: CoViD--19: An Automatic, Semiparametric Estimation Method for the Population Infected in Italy
  • Document date: 2020_3_18
  • ID: hhj7zte1_20
    Snippet: The distance function adopted (π), called AR distance, has been introduced by Piccolo (2007)). Briefly, the series of interest are considered a realization of an ARMA (Autoregressive Moving Average) model (see, e.g. Makridakis and Hibon (1997) ) so that, each of them can be expressed as an autoregressive model of infinite order, i.e. AR(∞) whose infinite sequence of AR parameters is α 1 , α 2 , . . . . Without loss of generality, the distanc.....
    Document: The distance function adopted (π), called AR distance, has been introduced by Piccolo (2007)). Briefly, the series of interest are considered a realization of an ARMA (Autoregressive Moving Average) model (see, e.g. Makridakis and Hibon (1997) ) so that, each of them can be expressed as an autoregressive model of infinite order, i.e. AR(∞) whose infinite sequence of AR parameters is α 1 , α 2 , . . . . Without loss of generality, the distance between the series s and c π(s, c) (Eqn 3) is expressed as

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