Our paper Transformations in Semi-Parametric Bayesian Synthetic Likelihood with @JacobPriddle is now published in CSDA. Paper can be accessed for free for next 50 days using link below @QUTDataScience
https://t.co/ZRYmSIDxq0
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!
https://t.co/fUk1KXsQgP
🚨PUBLICATION ALERT!
An ACEMS team of researchers from @qut, @UNSW & @MonashUni introduce a new method which significantly improves the computational efficiency of #Bayesian synthetic likelihood (BSL). The research was led by @JacobPriddle: https://t.co/oeSpOuweng @tandfonline
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@ABC_Research@dtfraz
And here is my link for (another) 50 free copies:
https://t.co/O38ESMzPG5
Huge congrats to @JacobPriddle for getting his first paper into JCGS. Accelerating Bayesian synthetic likelihood using whitening transformations. @ABC_Research@dtfraz@QUTDataScience
https://t.co/7qPleLtvH2
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, @KerrieMengersen, Vincent Rivoirard and @RousseauJudith
https://t.co/1ZxwQ9mS2A
If you missed my talk on using transformations to improve Bayesian synthetic likelihood, it can now be accessed below. @JacobPriddle@dtfraz@ABC_Research
Thanks to all the ABC One World organisers!
https://t.co/8nQGgnnwoL
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 @JacobPriddle
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 @av_varg and supported by @ACEMathStats . Open Access.
https://t.co/VLBqV6DH4m
Very honoured by @SMB_MathBiology 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 https://t.co/zPBsLxiuvS
Congrats to @haydenmoffat15 for his first paper, published in Interface on sequential design for predator-prey models. Link to paper below and accepted version on arXiv.
https://t.co/AAfVpfU6dn
https://t.co/yGc17KVttf
Hello Twitter, I'm hella new to this, please comment any helpful tips or particularly cool people to follow! @JacobPriddle promised he'd comment with AT LEAST 1 helpful tip too. I also want to write exactly 280 characters, the stipulated maximum, bc why not I suppose- thanks all.
New version of whitening Bayesian synthetic likelihood paper led by @JacobPriddle . Added theory showing computational benefits of the approach with help from @dtfraz . @ABC_Research @ACEMathStats @QUTDataScience
https://t.co/dRj3dBq4Mo