Product autoregressive models for non-negative variables


Autoria(s): Balakrishna, N; Abraham, B
Data(s)

23/09/2014

23/09/2014

07/05/2012

Resumo

When variables in time series context are non-negative, such as for volatility, survival time or wave heights, a multiplicative autoregressive model of the type Xt = Xα t−1Vt , 0 ≤ α < 1, t = 1, 2, . . . may give the preferred dependent structure. In this paper, we study the properties of such models and propose methods for parameter estimation. Explicit solutions of the model are obtained in the case of gamma marginal distribution

Statistics and Probability Letters 82 (2012) 1530–1537

Cochin University of Science and Technology

Identificador

http://dyuthi.cusat.ac.in/purl/4725

Idioma(s)

en

Publicador

Elsevier

Palavras-Chave #Accept–reject algorithm #Conditional least squares #Ergodic sequences #Gamma distribution #Product models
Tipo

Article