activity
20142021
most citedAn empirical likelihood approach for symmetric -stable processes

7 citations · 8 across the 5 of their papers we have counts for

collaborators

5 papers

stat.ME2021★ 1 cited

Statistical Inference for Local Granger Causality

Yan Liu, Masanobu Taniguchi, Hernando Ombao

Granger causality has been employed to investigate causality relations between components of stationary multiple time series. We generalize this concept by developing statistical i…

econ.EM2020

Asymptotic Properties of the Maximum Likelihood Estimator in Regime-Switching Models with Time-Varying Transition Probabilities

Chaojun Li, Yan Liu

We prove the asymptotic properties of the maximum likelihood estimator (MLE) in time-varying transition probability (TVTP) regime-switching models. This class of models extends the…

math.ST2016

Change point detection in autoregressive models with no moment assumptions

Fumiya Akashi, Holger Dette, Yan Liu

In this paper we consider the problem of detecting a change in the parameters of an autoregressive process, where the moments of the innovation process do not necessarily exist. An…

math.ST2016

Quantile tests in frequency domain for sinusoid models

Yan Liu

For second order stationary processes, the spectral distribution function is uniquely deter- mined by the autocovariance functions of the processes. We define the quantiles of the…

math.ST2014★ 7 cited

An empirical likelihood approach for symmetric -stable processes

Fumiya Akashi, Yan Liu, Masanobu Taniguchi

Empirical likelihood approach is one of non-parametric statistical methods, which is applied to the hypothesis testing or construction of confidence regions for pivotal unknown qua…