Geometric Infinitely Divisible Autoregressive Models

09/06/2023
by   Monika Singh Dhull, et al.
0

In this article, we discuss some geometric infinitely divisible (gid) random variables using the Laplace exponents which are Bernstein functions and study their properties. The distributional properties and limiting behavior of the probability densities of these gid random variables at 0+ are studied. The autoregressive (AR) models with gid marginals are introduced. Further, the first order AR process is generalised to kth order AR process. We also provide the parameter estimation method based on conditional least square and method of moments for the introduced AR(1) processes.

READ FULL TEXT

page 1

page 2

page 3

page 4

research
10/26/2017

Optimal Input Design for Parameter Estimation in AR(1) with Dependent Stationary Noise

This paper focus on the asymptotical input and the asymptotical properti...
research
06/06/2021

Tempered Stable Autoregressive Models

In this article, we introduce and study a one sided tempered stable auto...
research
03/18/2019

Autoregressive Models for Sequences of Graphs

This paper proposes an autoregressive (AR) model for sequences of graphs...
research
02/18/2021

Explicit Bivariate Rate Functions for Large Deviations in AR(1) and MA(1) Processes with Gaussian Innovations

We investigate large deviations properties for centered stationary AR(1)...
research
08/01/2019

General proof of a limit related to AR(k) model of Statistics

Computing moments of various parameter estimators related to an autoregr...
research
11/20/2019

Autoregressive Modeling of Forest Dynamics

In this work, we employ autoregressive models developed in financial eng...

Please sign up or login with your details

Forgot password? Click here to reset