Lucy A. Marshall

Orcid: 0000-0003-0450-4292

Affiliations:
  • Macquarie University, NSW, Australia


According to our database1, Lucy A. Marshall authored at least 16 papers between 2010 and 2025.

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

Timeline

Legend:

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Links

Online presence:

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Bibliography

2025
Do LSTM memory states reflect the relationships in reduced-complexity sandy shoreline models.
Environ. Model. Softw., 2025

2024
Improving the statistical reliability of river model predictions via simple state adjustments.
Environ. Model. Softw., January, 2024

Modelling vegetation dynamics for future climates in Australian catchments: Comparison of a conceptual eco-hydrological modelling approach with a deep learning alternative.
Environ. Model. Softw., 2024

2023
DeepGR4J: A deep learning hybridization approach for conceptual rainfall-runoff modelling.
Environ. Model. Softw., November, 2023

Cyclone trajectory and intensity prediction with uncertainty quantification using variational recurrent neural networks.
Environ. Model. Softw., April, 2023

2022
Improving probabilistic monthly water quantity and quality predictions using a simplified residual-based modeling approach.
Environ. Model. Softw., 2022

How to select an objective function using information theory.
CoRR, 2022

2021
Improving the Combination of Satellite Soil Moisture Data Sets by Considering Error Cross Correlation: A Comparison Between Triple Collocation (TC) and Extended Double Instrumental Variable (EIVD) Alternatives.
IEEE Trans. Geosci. Remote. Sens., 2021

2019
The influence of data transformations in simulating Total Suspended Solids using Bayesian inference.
Environ. Model. Softw., 2019

Using 3D robust smoothing to fill land surface temperature gaps at the continental scale.
Int. J. Appl. Earth Obs. Geoinformation, 2019

2018
A comparison of methods for discretizing continuous variables in Bayesian Networks.
Environ. Model. Softw., 2018

2014
A Bayesian method for multi-pollution source water quality model and seasonal water quality management in river segments.
Environ. Model. Softw., 2014

Mixtures of experts for understanding model discrepancy in dynamic computer models.
Comput. Stat. Data Anal., 2014

2012
The ensemble Kalman filter is an ABC algorithm.
Stat. Comput., 2012

Efficient hydrological model parameter optimization with Sequential Monte Carlo sampling.
Environ. Model. Softw., 2012

2010
Exploring uncertainty and model predictive performance concepts via a modular snowmelt-runoff modeling framework.
Environ. Model. Softw., 2010


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