Bayesian prior robustness using general -divergence measure

L Harrouche, H Fellag, L Atil - Statistical Papers, 2025 - Springer
Bayesian robustness measure of classes of contaminated priors using general\(\phi\)-
divergence between two posterior distributions is introduced. Using the local curvature for …

Inference about the first-order autoregressive coefficient

SB Provost, D Sanjel - Communications in Statistics—Theory and …, 2005 - Taylor & Francis
Several estimators of the coefficient of an AR (1) process can be expressed as the ratio of
two quadratic forms. In this article, we are considering the ordinary least-squares, a modified …

[PDF][PDF] Modelling and Analysis of Financial Time Series using Some non-Gaussian Models

CG Ranganath, N Balakrishna - 2018 - events.cusat.ac.in
The analysis of time series in classical setup utilizes Gaussian linear models to explain the
phenomenon. With this assumption, the inference procedures result in explicit forms and …

Hurwicz Estimator for Autoregressive Model with Generalized Error Distributed Innovations

CG Sri Ranganath - Journal of the Indian Society for Probability and …, 2018 - Springer
The Hurwicz estimator for a first order autoregressive model generated by an innovation
sequence of generalized error distributed random variables is considered. The prediction …

Some aspects of stability in time series small sample case

H Fellag - Afrika Statistika, 2010 - ajol.info
In this paper, we consider the problem of stability of the estimation in autoregressive models
for the finite sample case. A Monte Carlo comparison of the least square estimator and the …