David Gunawan retweeted
PYTHON is difficult to learn, but not anymore!
Introducing "The Ultimate Python ebook "PDF.
You will get:
• 74+ pages cheatsheet
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And for 48 hrs, it's 100% FREE!
To get it, just:
1. Like & RT
2. Reply "PY"
3. Follow @Ronycoder [MUST]
David Gunawan retweeted
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.
David Gunawan retweeted
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. andrewzm.github.io/deepspat-…
David Gunawan retweeted
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
cosmosmagazine.com/people/so…
David Gunawan retweeted
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.
external-careers.jobs.unsw.e…
David Gunawan retweeted
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
Interested in an opportunity to work with the @TIDEResearchHub? We are currently looking for a Research Fellow in Statistical Data Science to work with @andrewzm at the @uowniasra at the @UOW. For more info go to tinyurl.com/39z3mun4 @UWAresearch @uwanews @UWAEMS @OgsUwa
David Gunawan retweeted
Interested in an opportunity to work with the @TIDEResearchHub? We are currently looking for a Research Fellow in Statistical Data Science to work with @andrewzm at the @uowniasra at the @UOW. For more info go to tinyurl.com/39z3mun4 @UWAresearch @uwanews @UWAEMS @OgsUwa
David Gunawan retweeted
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 tide.edu.au/ for PhD and postdoc opportunities
great postdoc opportunity
two year postdoc developing methods for intractable likelihood models in cognitive science. See external-careers.jobs.unsw.e…
Our paper, with B. Griffiths and D. Chotikapanich
--at arxiv.org/abs/2005.04870-- 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.
David Gunawan retweeted
Very excited that @uowcei @uowniasra is part of the new @arc_gov_au Research Hub for Transforming energy Infrastructure through Digital Engineering! Follow tide.edu.au/ for opportunities and to engage with us as part of @TIDEResearchHub. @MooresMt @DavidGun1000
A paper on cross-validation (CV) with VB is available at arxiv.org/pdf/2102.06814.pdf. 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 arxiv.org/pdf/1401.1667.pdf-… 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.