Issues in Forecasting International Tourist Travel
Janet Moss
Part of the Operations and Supply Chain Management Commons
Works by Jun Liu in Operations and Supply Chain Management
2022
2019
Review of "Nonlinear Time Series: Theory, Methods, and Applications with R Examples" by Ronald Douc, Eric Moulines, and David S. Stoffer
Jun Liu
Modeling Hourly Electricity Demand Using Spline-Based Nonparametric Transfer Function Models
Jun Liu
Automatic Forecasting of Hourly Electricity Demand with A Computationally Efficient Semi-Parametric Time Series Model
Jun Liu
Automatic Forecasting of Hourly Electricity Demand with A Computationally Efficient Semi-Parametric Time Series Model
Jun Liu
2017
A Dynamic OLS Estimator for Panel Cointegration with Global Stochastic Trends and Heterogeneous Panel
Jun Liu
A Dynamic OLS Estimator for Panel Cointegration with Global Stochastic Trends and Heterogeneous Panel
Jun Liu
A Dynamic OLS Estimator for Panel Cointegration With Global Stochastic Trends and Heterogeneous Panel
Jun Liu
2016
Nonparametric Transfer Function Models
Department of Logistics & Supply Chain Management Faculty Presentations
2015
2014
The Asymptotics of ARMA Estimators in Spline-Backfitted Transfer Function Models
Department of Logistics & Supply Chain Management Faculty Presentations
2013
Issues in Forecasting International Tourist Travel
Department of Logistics & Supply Chain Management Faculty Publications
The Asymptotics of ARMA Estimators in Spline-Backfitted Transfer Function Models
Department of Logistics & Supply Chain Management Faculty Presentations
2012
Issues in Forecasting International Tourist Travel
Department of Logistics & Supply Chain Management Faculty Presentations
A Dynamic OLS Estimator for Panel Cointegration with Global Stochastic Trends and Heterogeneous Panel
Department of Logistics & Supply Chain Management Faculty Presentations
2011
2010
2008
Nonparametric Transfer Function and Extensions
Department of Logistics & Supply Chain Management Faculty Presentations
2006
Nonparametric Transfer Function Models
Department of Logistics & Supply Chain Management Faculty Presentations