Re-visiting the past can lead to new discoveries'-Confucius (551 B.C.-479 B.C.) This paper is a selective review of the development of the threshold model in time series analysis over the past 30 years or so. First, it re-visits the motivation of the model. Next, it describes the various expressions of the model, highlighting the principle underlying them and the main probabilistic and statistical properties. Finally, after listing some of the recent offsprings of the threshold model, it finishes with some on-going research in the context of threshold volatility
This paper proposes a contemporaneous smooth transition threshold autoregressive model (C-STAR) as a...
This article focuses the attention on the Self Exciting Threshold Autoregressive Moving Average mode...
This paper considers the Bayesian analysis of threshold regression models. It shows that this analys...
Since the pioneering work by Tong (1978, 1983), threshold time series modelling and its applications...
The subject of time series analysis has drawn significant attentions in recent years, since it is of...
Threshold models have a wide variety of applications in economics. Direct applications include model...
Threshold models have a wide variety of applications in economics. Direct applications include model...
Threshold models have gained much recent attention in applied economics for modeling nonlinear behav...
In this paper we present some nonlinear autoregressive moving average (NARMA) models proposed in the...
We present a systematic review of seven threshold models of technological transitions from physics, ...
We present a systematic review of seven threshold models of technological transitions from physics, ...
This paper proposes a contemporaneous smooth transition threshold autoregressive model (C-STAR) as a...
In this chapter we propose a class of nonlinear time series models in which the underlying process s...
Conventional threshold models contain only one threshold variable. Such models are of limited econom...
In the financial market, the volatility of financial assets plays a key role in the problem of measu...
This paper proposes a contemporaneous smooth transition threshold autoregressive model (C-STAR) as a...
This article focuses the attention on the Self Exciting Threshold Autoregressive Moving Average mode...
This paper considers the Bayesian analysis of threshold regression models. It shows that this analys...
Since the pioneering work by Tong (1978, 1983), threshold time series modelling and its applications...
The subject of time series analysis has drawn significant attentions in recent years, since it is of...
Threshold models have a wide variety of applications in economics. Direct applications include model...
Threshold models have a wide variety of applications in economics. Direct applications include model...
Threshold models have gained much recent attention in applied economics for modeling nonlinear behav...
In this paper we present some nonlinear autoregressive moving average (NARMA) models proposed in the...
We present a systematic review of seven threshold models of technological transitions from physics, ...
We present a systematic review of seven threshold models of technological transitions from physics, ...
This paper proposes a contemporaneous smooth transition threshold autoregressive model (C-STAR) as a...
In this chapter we propose a class of nonlinear time series models in which the underlying process s...
Conventional threshold models contain only one threshold variable. Such models are of limited econom...
In the financial market, the volatility of financial assets plays a key role in the problem of measu...
This paper proposes a contemporaneous smooth transition threshold autoregressive model (C-STAR) as a...
This article focuses the attention on the Self Exciting Threshold Autoregressive Moving Average mode...
This paper considers the Bayesian analysis of threshold regression models. It shows that this analys...