Daniel Edward Pagendam

Orcid: 0000-0002-8347-4767

According to our database1, Daniel Edward Pagendam authored at least 13 papers between 2008 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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PhD thesis 
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Links

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Bibliography

2024
Gaussian Ensemble Belief Propagation for Efficient Inference in High-Dimensional Systems.
CoRR, 2024

2023
Exploiting Field Dependencies for Learning on Categorical Data.
IEEE Trans. Pattern Anal. Mach. Intell., November, 2023

The effect of biologically mediated decay rates on modelling soil carbon sequestration in agricultural settings.
Environ. Model. Softw., October, 2023

2022
Bayesian Physics Informed Neural Networks for Data Assimilation and Spatio-Temporal Modelling of Wildfires.
CoRR, 2022

Bayesian Neural Network Inference via Implicit Models and the Posterior Predictive Distribution.
CoRR, 2022

2021
A Semiautomatic Method for History Matching Using Sequential Monte Carlo.
SIAM/ASA J. Uncertain. Quantification, 2021

Advanced Bayesian approaches for state-space models with a case study on soil carbon sequestration.
Environ. Model. Softw., 2021

Gaussian process machine learning and Kriging for groundwater salinity interpolation.
Environ. Model. Softw., 2021

Opportunistic Emulation of Computationally Expensive Simulations via Deep Learning.
CoRR, 2021

2020
Enforcing mean reversion in state space models for prawn pond water quality forecasting.
Comput. Electron. Agric., 2020

2018
Determining the initial spatial extent of an environmental impact assessment with a probabilistic screening methodology.
Environ. Model. Softw., 2018

2015
Streamflow rating uncertainty: Characterisation and impacts on model calibration and performance.
Environ. Model. Softw., 2015

2008
Conceptualisation and application of models for groundwater-surface water interactions and nitrate attenuation potential in riparian zones.
Environ. Model. Softw., 2008


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