Add to ORKGAll in-text references underlined in blue are linked to publications on ResearchGate, letting you access and read them immediately
In this paper we present some nonlinear autoregressive moving average (NARMA) models proposed in the...
This paper estimates and forecasts U.S. business cycle turning points with state-level data. The pro...
In linear time series analysis, the incorporation of the moving-average term in autoregressive model...
Markov chains and Mixture Transition Distribution are the most traditional models for binary time se...
Recently De Luca and Carfora (Statistica e Applicazioni 8:123–134, 2010) have proposed a novel model...
The time series of German and Italian recessions are analyzed using a novel approach for binary time...
All in-text references underlined in blue are linked to publications on ResearchGate, letting you ac...
This paper, taken from Benjamin, Rigby and Stasinopoulous (2003), presents and examines an extension...
All in-text references underlined in blue are linked to publications on ResearchGate, letting you ac...
International audienceInteger autoregressive and moving average models have been developed over the ...
<p>Final autoregressive integrated moving average (ARIMA) models including trend and seasonality as ...
This paper estimates and forecasts U.S. business cycle turning points with state-level data. The pro...
This dissertation describes a technique of economic forecasting with Bayesian vector autoregression ...
All in-text references underlined in blue are linked to publications on ResearchGate, letting you ac...
textabstractA Bayesian model averaging procedure is presented within the class of vector autoregress...
In this paper we present some nonlinear autoregressive moving average (NARMA) models proposed in the...
This paper estimates and forecasts U.S. business cycle turning points with state-level data. The pro...
In linear time series analysis, the incorporation of the moving-average term in autoregressive model...
Markov chains and Mixture Transition Distribution are the most traditional models for binary time se...
Recently De Luca and Carfora (Statistica e Applicazioni 8:123–134, 2010) have proposed a novel model...
The time series of German and Italian recessions are analyzed using a novel approach for binary time...
All in-text references underlined in blue are linked to publications on ResearchGate, letting you ac...
This paper, taken from Benjamin, Rigby and Stasinopoulous (2003), presents and examines an extension...
All in-text references underlined in blue are linked to publications on ResearchGate, letting you ac...
International audienceInteger autoregressive and moving average models have been developed over the ...
<p>Final autoregressive integrated moving average (ARIMA) models including trend and seasonality as ...
This paper estimates and forecasts U.S. business cycle turning points with state-level data. The pro...
This dissertation describes a technique of economic forecasting with Bayesian vector autoregression ...
All in-text references underlined in blue are linked to publications on ResearchGate, letting you ac...
textabstractA Bayesian model averaging procedure is presented within the class of vector autoregress...
In this paper we present some nonlinear autoregressive moving average (NARMA) models proposed in the...
This paper estimates and forecasts U.S. business cycle turning points with state-level data. The pro...
In linear time series analysis, the incorporation of the moving-average term in autoregressive model...