Please help spread the word that abstract submission deadline for Australia and New Zealand Stats Conference on Gold Coast has been extended. Amazing pleasant sunny winter on the beach in July!

New version of whitening Bayesian synthetic likelihood paper led by Jacob Priddle . Added theory showing computational benefits of the approach with help from David T. Frazier . Scott Sisson @ACEMathStats QUT Centre for Data Science arxiv.org/abs/1909.04857

Follow my friend Michael O'Shea. He’s new to Twitter and has no friends 😕 He likes statistics too!

Congrats to Hayden Moffat for his first paper, published in Interface on sequential design for predator-prey models. Link to paper below and accepted version on arXiv. royalsocietypublishing.org/doi/10.1098/rs… arxiv.org/abs/1907.02179

Very honoured by SMB - Society for Mathematical Biology to have won this award for our work modelling melanoma invasion with @ProfMJSimpson and Parvathi Haridas at QUT Maths and @qut_ihbi . Great article by ACEMS @AZinBNE. Read more and download our data alexbrowning.me/publication/bm…

Our paper on estimating a novel stochastic model for banana bunchy top virus via ABC is now published in PLOS Comp Bio. Led by the talented Abhishek Varghese and supported by @ACEMathStats . Open Access. journals.plos.org/ploscompbiol/a…

Will be talking at this very soon. This time, if you have some experience with ABC-type methods, you might find the talk interesting. Will be talking about the work led by Jacob Priddle

If you missed my talk on using transformations to improve Bayesian synthetic likelihood, it can now be accessed below. Jacob Priddle David T. Frazier Scott Sisson Thanks to all the ABC One World organisers! warwick.ac.uk/fac/sci/statis…

First preprint 📜 from my PhD ‘Accelerating SMC using surrogate likelihoods’ with Anthony Lee + Chris Drovandi arxiv.org/abs/2009.03699

Some (self)exciting news - I submitted my first paper! Our new preprint using self-exciting processes to model COVID-19 is now available on medRxiv. Joint work with Deborah Sulem, Kerrie Mengersen, Vincent Rivoirard and Judith Rousseau medrxiv.org/content/10.110…

1st comprehensive analysis of placental elastography changes across the 3rd Trimester. doi.org/10.1016/j.plac… Erika Cavanagh Danielle Borg Chris Drovandi Vicki Clifton Jacob Priddle Mater Research QUT Centre for Data Science QLD Family Cohort ASA #QLDFCS UQ News

Huge congrats to Jacob Priddle for getting his first paper into JCGS. Accelerating Bayesian synthetic likelihood using whitening transformations. Scott Sisson David T. Frazier QUT Centre for Data Science tandfonline.com/doi/abs/10.108…

Congrats, Jacob Priddle! What a great collaborative effort involving ACEMS researchers at QUT, UNSW Science and MonashEBS.

Shout out to Jacob Priddle for getting his first paper into JCGS. Explore the article here 👇 bit.ly/3lXS6XS ASA Chris Drovandi #STATS #Math

Whitening BSL now officially online with JCGS. Get your free copy here (50 only). Jacob Priddle Scott Sisson David T. Frazier tandfonline.com/eprint/FWJGE22…

Very excited that the final proofs of our wBSL paper are finally online! A huge thanks goes to my amazing co-authors for making this work possible! Chris Drovandi Scott Sisson David T. Frazier And here is my link for (another) 50 free copies: tandfonline.com/eprint/ZAGFA3R…

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Analysis of the impact of placental position on #placental SWE QLD Family Cohort Mater Research QUT QUT Centre for Data Science UQ News authors.elsevier.com/a/1gBL3Wcm3DjWF #sonographer

Excited to get this work preprinted! We provide a method for federated learning inference of hierarchical models. The approach doesn't require communicating gradient information of private parameters, and we also offer a communication-efficient variant! arxiv.org/abs/2302.03314

Our paper Transformations in Semi-Parametric Bayesian Synthetic Likelihood with Jacob Priddle is now published in CSDA. Paper can be accessed for free for next 50 days using link below QUT Centre for Data Science authors.elsevier.com/a/1hHT6cBz8XqZv