Skip to content

Latest publications & preprints

January 4, 2016

The first paper from my postdoc at Warwick has been accepted and is now available online:

Gracie, Moores, Smith, Harding, Girolami, Graham & Faulds, “Preferential attachment of specific fluorescent dyes and dye labelled DNA sequences in a SERS multiplex,” to appear in Analytical Chemistry. DOI: 10.1021/acs.analchem.5b02776

No Bayesian methods in this one, as the model and algorithms are still under development (watch this space…) Instead, I use nonparametric bootstrap confidence intervals for comparison of Raman peak intensity.

I also have two middle-author papers accepted from my PhD work. The first is a review of Bayesian modelling and computation for satellite imagery:

Falk, Alston, McGrory, Clifford, Heron, Leonte, Moores, Walsh, Pettitt & Mengersen (2015) “Recent Bayesian approaches for spatial analysis of 2-D images with application to environmental modelling,” Environmental and Ecological Statistics 22(3): 571-600. DOI: 10.1007/s10651-015-0311-1

The second paper introduces a method for aligning 3D CT scans using DICOM coordinates:

Hargrave, Mason, Guidi, Miller, Becker, Moores, Mengersen, Poulsen & Harden, “Automated replication of cone beam CT-guided treatments in the Pinnacle³ treatment planning system for adaptive radiotherapy,” to appear in the Journal of Medical Radiation Sciences. DOI: 10.1002/jmrs.141

There are also two draft papers available as online pre-prints:

Drovandi, Moores & Boys, “Accelerating Pseudo-Marginal MCMC using Gaussian Processes,” Technical Report, Queensland University of Technology, Brisbane, Australia.

Moores, Pettitt & Mengersen, “Scalable Bayesian Inference for the Inverse Temperature of a Hidden Potts Model,” arXiv:1503.08066 [stat.CO]

Last but not least, my thesis has been posted on the QUT ePrints server:

Moores (2015) “Bayesian computational methods for spatial analysis of images,” PhD thesis, Queensland University of Technology, Brisbane, Australia.

An extended abstract is available online:

Moores (2016) “Bayesian computational methods for spatial analysis of images,” to appear in the Bulletin of the Australian Mathematical Society. DOI: 10.1017/S0004972715001598

2015 was a very busy and successful year. Looking forward to publishing more great science with all of my co-authors in 2016!

Leave a Comment

Leave a Reply

Fill in your details below or click an icon to log in: Logo

You are commenting using your account. Log Out /  Change )

Google photo

You are commenting using your Google account. Log Out /  Change )

Twitter picture

You are commenting using your Twitter account. Log Out /  Change )

Facebook photo

You are commenting using your Facebook account. Log Out /  Change )

Connecting to %s


Computational Bayesian statistics

Bayes' Food Cake

A bit of statistics, a bit of cakes. - Blogs to Learn R from the Community

Computational Bayesian statistics

Richard Everitt's blog

Computational Bayesian statistics

Let's Look at the Figures

David Firth's blog

Nicholas Tierney

Computational Bayesian statistics

Sweet Tea, Science

Two southern scientistas will be bringing you all that is awesome in STEM as we complete our PhDs. Ecology, statistics, sass.

Mad (Data) Scientist

Musings, useful code etc. on R and data science

Darren Wilkinson's blog

Statistics, computing, functional programming, data science, Bayes, stochastic modelling, systems biology and bioinformatics

(badness 10000)

Computational Bayesian statistics

Igor Kromin

Computational Bayesian statistics


I can't get no

Xi'an's Og

an attempt at bloggin, nothing more...

Sam Clifford

Postdoctoral Fellow, Bayesian Statistics, Aerosol Science

%d bloggers like this: