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20152022
most citedBayesian Indirect Inference Using a Parametric Auxiliary Model

110 citations · 142 across the 9 of their papers we have counts for

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5 papers · 1 filter

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.AP2021

Bayesian Detectability of Induced Polarisation in Airborne Electromagnetic Data using Reversible Jump Sequential Monte Carlo

Laurence Davies, Alan Yusen Ley-Cooper, Matthew Sutton +1

Detection of induced polarisation (IP) effects in airborne electromagnetic (AEM) measurements does not yet have an established methodology. This contribution develops a Bayesian ap…

stat.AP2019

Estimating a novel stochastic model for within-field disease dynamics of banana bunchy top virus via approximate Bayesian computation

Abhishek Varghese, Christopher Drovandi, Kerrie Mengersen +1

The Banana Bunchy Top Virus (BBTV) is one of the most economically important vector-borne banana diseases throughout the Asia-Pacific Basin and presents a significant challenge to…

stat.AP2019

Sequential Experimental Design for Predator-Prey Functional Response Experiments

Hayden Moffat, Markus Hainy, Nikos E. Papanikolaou +1

Understanding functional response within a predator-prey dynamic is a cornerstone for many quantitative ecological studies. Over the past 60 years, the methodology for modelling fu…

stat.AP2019

Efficient Bayesian estimation for GARCH-type models via Sequential Monte Carlo

Dan Li, Adam Clements, Christopher Drovandi

The advantages of sequential Monte Carlo (SMC) are exploited to develop parameter estimation and model selection methods for GARCH (Generalized AutoRegressive Conditional Heteroske…