Using Indicators of ENSO, IOD, and SAM to Improve Lead Time and Accuracy of Tropical Cyclone Outlooks for Australia

- Magee, Andrew David, Kiem, Anthony S.

Deploying artificial neural networks for modeling energy demand: international evidence

- Bannor B., Emmanuel, Acheampong, Alex O.

Forecasting tourism demand: the Hamilton filter

- Bosupeng, Mpho

Modelling carbon emission intensity: application of artificial neural network

- Acheampong, Alex O., Boateng, Emmanuel B.

Evolutionary wavelet neural network ensembles for breast cancer and Parkinson's disease prediction

- Khan, Maryam Mahsal, Mendes, Alexandre, Chalup, Stephan K.

Forecasting extreme ENSO events and the associated hydrological impact in eastern Australia

- Bell, Micah

Grey forecasting of construction demand in Hong Kong over the next ten years

- Tan, Yongtao, Langston, Craig, Wu, Min, Ochoa, J. Jorge

Forecasting option smile dynamics

- Le, Van, Zurbruegg, Ralf

Probabilistic forecasting of wind power generation using extreme learning machine

- Wan, Can, Xu, Zhao, Pinson, Pierre, Dong, Zhao Yang, Wong, Kit Po

Non-stationarity in annual Maxima rainfall timeseries - Implications for IFD development

- Verdon-Kidd D. C., Kiem, Anthony S.

Towards a recursive Bayesian total error analysis framework

- Newman, Amanda, Kuczera, George, Kavetski, Dmitri

The role of trading volume in volatility forecasting.

- Le, Van, Zurbruegg, Ralf

LDL-cholesterol differences predicted survival benefit in statin trials by the surrogate threshold effect (STE)

- Johnson, Kent R., Freemantle, Nick, Anthony, Danielle M., Lassere, Marissa N. D.

Predicting bank failures using a simple dynamic hazard model

- Cole, Rebel A., Wu, Qiongbing

The representativeness of management financial forecasts vis-à-vis naïve forecasts

- Hartnett, Neil

Influence of Indian Ocean sea-surface temperature variability on winter rainfall across eastern Australia

- Verdon-Kidd, D. C., Franks, Stewart William