Daniel Edward Pagendam

According to our database, Daniel Edward Pagendam authored at least 15 papers between 2008 and 2026.

Collaborative distances:

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

2026

Advancing integrated terrestrial nutrient budget modeling: Challenges and opportunities for improvement across space, time, and end-users.

Chiara Pasut, David I. Forrester, Thomas F. A. Bishop, Jacqueline R. England, Donald Gaydon, Peter Grace, Ian Harman, Sreekanth Janardhanan, Bennet Macdonald, Federico Maggi, Brendan P. Malone, Daniel Edward Pagendam, David W. Rassam, Dan F. Rosauer, Stephen H. Roxburgh, Ross D. Searle, Fiona H. M. Tang, Sabastine Ugbaje, Ying-Ping Wang, Jinyan Yang, Yingying Yu, Senani Karunaratne

Ecol. Informatics, 2026

2025

Gaussian Ensemble Belief Propagation for Efficient Inference in High-Dimensional, Black-box Systems.

Daniel MacKinlay, Russell Tsuchida, Daniel Edward Pagendam, Petra Kuhnert

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

2024

Gaussian Ensemble Belief Propagation for Efficient Inference in High-Dimensional Systems.

Daniel MacKinlay, Russell Tsuchida, Daniel Edward Pagendam, Petra Kuhnert

CoRR, 2024

2023

Exploiting Field Dependencies for Learning on Categorical Data.

Zhibin Li, Piotr Koniusz, Lu Zhang, Daniel Edward Pagendam, Peyman Moghadam

IEEE Trans. Pattern Anal. Mach. Intell., November, 2023

The effect of biologically mediated decay rates on modelling soil carbon sequestration in agricultural settings.

Mohammad-Javad Davoudabadi, Daniel Edward Pagendam, Christopher C. Drovandi, Jeff Baldock, Gentry White

Environ. Model. Softw., October, 2023

2022

Bayesian Physics Informed Neural Networks for Data Assimilation and Spatio-Temporal Modelling of Wildfires.

Joel Janek Dabrowski, Daniel Edward Pagendam, James Hilton, Conrad Sanderson, Daniel MacKinlay, Carolyn Huston, Andrew Bolt, Petra Kuhnert

CoRR, 2022

Bayesian Neural Network Inference via Implicit Models and the Posterior Predictive Distribution.

Joel Janek Dabrowski, Daniel Edward Pagendam

CoRR, 2022

2021

A Semiautomatic Method for History Matching Using Sequential Monte Carlo.

Christopher C. Drovandi, David J. Nott, Daniel Edward Pagendam

SIAM/ASA J. Uncertain. Quantification, 2021

Advanced Bayesian approaches for state-space models with a case study on soil carbon sequestration.

Mohammad-Javad Davoudabadi, Daniel Edward Pagendam, Christopher C. Drovandi, Jeff Baldock, Gentry White

Environ. Model. Softw., 2021

Gaussian process machine learning and Kriging for groundwater salinity interpolation.

Tao Cui, Daniel Edward Pagendam, Mat Gilfedder

Environ. Model. Softw., 2021

Opportunistic Emulation of Computationally Expensive Simulations via Deep Learning.

Conrad Sanderson, Daniel Edward Pagendam, Brendan Power, Frederick Bennett, Ross Darnell

CoRR, 2021

2020

Enforcing mean reversion in state space models for prawn pond water quality forecasting.

Joel Janek Dabrowski, Ashfaqur Rahman, Daniel Edward Pagendam, Andrew George

Comput. Electron. Agric., 2020

2018

Determining the initial spatial extent of an environmental impact assessment with a probabilistic screening methodology.

Luk Peeters, Daniel Edward Pagendam, Russell S. Crosbie, Praveen K. Rachakonda, Warrick R. Dawes, Lei Gao, Steve P. Marvanek, Yongqiang Zhang, Tim R. McVicar

Environ. Model. Softw., 2018

2015

Streamflow rating uncertainty: Characterisation and impacts on model calibration and performance.

Jorge L. Peña-Arancibia, Yongqiang Zhang, Daniel Edward Pagendam, Neil R. Viney, Julien Lerat, Albert I. J. M. van Dijk, Jai Vaze, Andrew J. Frost

Environ. Model. Softw., 2015

2008

Conceptualisation and application of models for groundwater-surface water interactions and nitrate attenuation potential in riparian zones.

David W. Rassam, Daniel Edward Pagendam, H. M. Hunter

Environ. Model. Softw., 2008