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Particle MCMC and the Correlated Particle Hybrid Sampler for State Space Models will be published in Journal of Econometrics. Shows how to combine correlated PMMH and Particle Gibbs. Research led by @DavidGun1000. Congratulations David on great article.
There are still a few spots left at the "Workshop on Statistical Deep Learning", which is full of exciting talks and networking opportunities! Sydney CBD 24-25 October 2022. Registration closes 30 Sep 2022. https://t.co/9gp4FZ6gNo
Instead of the # of papers, "we really should be focusing on the quality of their ideas & the impact their research has had." This @CosmosMagazine story from @clarewhatson breaks down Science's gender equity problem - w great insight from @aidybarnett
https://t.co/mhJE9CzOq9
1/2 Postdoc opportunity to conduct research in the application of complex statistical and machine learning techniques to models of decision making. The role sits in the UNSW Data Science Hub located within the School of Mathematics & Statistics.
https://t.co/3v84c29PLl
Come and do a postdoc with me, @DavidGun1000 and @andrewzm in Wollongong. Applications close December 17. Research topics in digital engineering, data science, Bayesian computation and machine learning
Looking for an impactful research career focussed on data science and engineering? The @arc_gov_au Research Hub for Transforming energy Infrastructure through Digital Engineering (@TIDEResearchHub) has commenced. Check out https://t.co/B3HWWSUWzi for PhD and postdoc opportunities
Our paper, with B. Griffiths and D. Chotikapanich
--at https://t.co/XC8u0H5lFu was accepted for publication in Economic Record; the paper shows how to compute posterior probabilities of dominance for comparisons of income distributions using Bayesian non-parametric approaches.
Very excited that @uowcei@uowniasra is part of the new @arc_gov_au Research Hub for Transforming energy Infrastructure through Digital Engineering! Follow https://t.co/hnYLxfstAE for opportunities and to engage with us as part of @TIDEResearchHub. @MooresMt@DavidGun1000
A paper on cross-validation (CV) with VB is available at https://t.co/usIJDKiCc2. It proposes a novel VB method to perform model selection using CV for hierarchical cognitive models. My paper with @HungDao11762412, @robertjk59, @ngocmath1, @3rdincharge, and Guy Hawkins.
A new version of our paper on scalable particle MCMC is available on Arxiv. The paper is coauthored with Chris carter and @robertjk59; it proposes the particle hybrid sampler that is more scalable in the number of observations and parameters than previous approaches.
Our paper, with C. carter, E. Mendes and @robertjk59--at https://t.co/1reYdX9Qh6 was accepted for publication in Statistics and Computing; it is the first to show how to flexibly combine particle marginal Metropolis-Hastings (PMMH) and particle Gibbs samplers.