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20212026
most citedInnovative Approaches in Soil Carbon Sequestration Modelling for Better Prediction with Limited Data

16 citations · 16 across the 5 of their papers we have counts for

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5 papers

stat.ME2026

A Sparse-Group Pliable Lasso

Mohammad Javad Davoudabadi, Minh Long Nguyen, Amirhossein Ghatari +2

The sparse-group pliable Lasso (SGPL) extends the pliable Lasso and group pliable Lasso by combining sparse-group regularization with a predictor-level coupling penalty, enabling s…

stat.CO2025

The Lasso Distribution: Properties, Sampling Methods, and Applications in Bayesian Lasso Regression

Mohammad Javad Davoudabadi, Jonathon Tidswell, Samuel Muller +2

In this paper, we introduce a new probability distribution, the Lasso distribution. We derive several fundamental properties of the distribution, including closed-form expressions…

stat.CO2022

Moment Propagation

John Ormerod, Weichang Yu, Mohammad Javad Davoudabadi +1

Mean-field variational Bayes is a fast and scalable approach to approximate Bayesian inference, but its independence assumptions often lead to underestimated posterior uncertainty.…

stat.AP2022

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

Mohammad Javad Davoudabadi, Daniel Pagendam, Christopher Drovandi +2

Microbial biomass carbon (MBC), a crucial soil labile carbon fraction, is the most active component of the soil organic carbon (SOC) that regulates bio-geochemical processes in ter…

stat.CO2021★ 16 cited

Innovative Approaches in Soil Carbon Sequestration Modelling for Better Prediction with Limited Data

Mohammad Javad Davoudabadi, Daniel Pagendam, Christopher Drovandi +2

Soil carbon accounting and prediction play a key role in building decision support systems for land managers selling carbon credits, in the spirit of the Paris and Kyoto protocol a…