activity
20072026
most citedAsymptotic theory of least squares estimators for nearly unstable processes under strong dependence

42 citations · 107 across the 9 of their papers we have counts for

collaborators

9 papers

stat.ME2026

Generalised Linear Models Driven by Latent Processes: Asymptotic Theory and Applications

Wagner Barreto-Souza, Ngai Hang Chan

This paper introduces a class of generalised linear models (GLMs) driven by latent processes for modelling count, real-valued, binary, and positive continuous time series. Extendin…

stat.ME2021

Nearly Unstable Integer-Valued ARCH Process and Unit Root Testing

Wagner Barreto-Souza, Ngai Hang Chan

This paper introduces a Nearly Unstable INteger-valued AutoRegressive Conditional Heteroskedasticity (NU-INARCH) process for dealing with count time series data. It is proved that…

math.ST2013★ 1 cited

Marked empirical processes for non-stationary time series

Ngai Hang Chan, Rongmao Zhang

Consider a first-order autoregressive process where and are i.i.d. random variables. Motiva…

math.ST2012★ 27 cited

Uniform moment bounds of Fisher's information with applications to time series

Ngai Hang Chan, Ching-Kang Ing

In this paper, a uniform (over some parameter space) moment bound for the inverse of Fisher's information matrix is established. This result is then applied to develop moment bound…

math.ST2010★ 5 cited

On Parameter Estimation of Threshold Autoregressive Models

Ngai Hang Chan, Yury A. Kutoyants

This paper studies the threshold estimation of a TAR model when the underlying threshold parameter is a random variable. It is shown that the Bayesian estimator is consistent and i…

math.PR2009★ 14 cited

Integrated functionals of normal and fractional processes

Boris Buchmann, Ngai Hang Chan

Consider , , , where is a normal process and is a measurable real-valued function satisfying $Ef(N_0)^…