Peter J. Toscas

According to our database, Peter J. Toscas authored at least 7 papers between 2004 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Advancing Long-Term High-Frequency Dissolved Oxygen Forecasting for Australian Rivers.

Amelia Genova, Huidong Jin, John A. Taylor, Joel Janek Dabrowski, Peter J. Toscas, Klaus Joehnk

Proceedings of the Data Science: Foundations and Applications, 2025

Effective Missing-Data Imputation for Time Series with Seasonality and Causality.

Devesh Bhogal, Yanchang Zhao, Reena Kapoor, Tapas Biswas, Peter J. Toscas, Klaus Joehnk

Proceedings of the Data Science and Machine Learning, 2025

2024

Effective River Water Temperature Forecasting with Transformer.

Richard Reynaldo Wironoto Susilo, Yanchang Zhao, Reena Kapoor, Devesh Bhogal, Peter J. Toscas, Klaus Joehnk

Proceedings of the Data Science and Machine Learning, 2024

2023

A Comparative Study of Water Temperature Forecasting Methods.

Devesh Bhogal, Yanchang Zhao, Reena Kapoor, Peter J. Toscas

Proceedings of the IEEE International Conference on Web Intelligence and Intelligent Agent Technology, 2023

2011

Modelling Inverse Gaussian Data with Censored Response Values: EM versus MCMC.

Ross Stewart Sparks, Gordon J. Sutton, Peter J. Toscas, John T. Ormerod

Adv. Decis. Sci., 2011

2005

Fitting the extended poisson process model to grouped binary data.

Peter J. Toscas, Malcolm J. Faddy

Comput. Stat., 2005

2004

Using Fisher Scoring to Fit Extended Poisson Process Models.

Peter J. Toscas, Malcolm J. Faddy

Comput. Stat., 2004