Dear all,

it is our pleasure to invite you to a new talk of the One WorldABC Seminarhttps://emea01.safelinks.protection.outlook.com/?url=https%3A%2F%2Fwarwick.ac.uk%2Ffac%2Fsci%2Fstatistics%2Fnews%2Fupcoming-seminars%2Fabcworldseminar&data=04%7C01%7C%7C06e9af5d73e049f208f308d9ad9605de%7C84df9e7fe9f640afb435aaaaaaaaaaaa%7C1%7C0%7C637731682116026553%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C3000&sdata=0ayUb%2F9cTDtsdFHz31wB%2BCnKJzmfa3oe5ETaBidU31s%3D&reserved=0.

Our next speaker will be Clara Grazianhttps://emea01.safelinks.protection.outlook.com/?url=https%3A%2F%2Fresearch.unsw.edu.au%2Fpeople%2Fdr-clara-grazian&data=04%7C01%7C%7C06e9af5d73e049f208f308d9ad9605de%7C84df9e7fe9f640afb435aaaaaaaaaaaa%7C1%7C0%7C637731682116036557%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C3000&sdata=SqjfOPTD0%2FssGtBEN3xTfB43uPV20WK07mK1L1XUyIw%3D&reserved=0, who will talk about PET-ABC: A Bayesian likelihood free tool for kinetic modelshttps://emea01.safelinks.protection.outlook.com/?url=https%3A%2F%2Fiopscience.iop.org%2Farticle%2F10.1088%2F1361-6560%2Fabfa37%2Fmeta&data=04%7C01%7C%7C06e9af5d73e049f208f308d9ad9605de%7C84df9e7fe9f640afb435aaaaaaaaaaaa%7C1%7C0%7C637731682116046540%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C3000&sdata=dgHj9u0%2BIjths%2Bc9QCZ1LM6ZHEX3nBNfeOYbz4L4EaI%3D&reserved=0, on Thursday November 25, at 11.30am UK time, with an abstract reported below.

To join the talk, please click on the Zoom link below https://chalmers.zoom.us/j/65793605413https://emea01.safelinks.protection.outlook.com/?url=https%3A%2F%2Fchalmers.zoom.us%2Fj%2F65793605413&data=04%7C01%7C%7C06e9af5d73e049f208f308d9ad9605de%7C84df9e7fe9f640afb435aaaaaaaaaaaa%7C1%7C0%7C637731682116046540%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C3000&sdata=KlTOHBBmW2%2Bq4XmSyU4Yx8%2FUCYlBM98aAfxFEtXPkSM%3D&reserved=0 Password: 810265

If you are interested in presenting your work on ABC and likelihood-free methods in the new year, please get in touch with one of the organisers.

If you miss last talk by Michael Gutmann, you can access its recording here https://www.youtube.com/watch?v=oUD6mPttyw4&feature=youtu.behttps://emea01.safelinks.protection.outlook.com/?url=https%3A%2F%2Fwww.youtube.com%2Fwatch%3Fv%3DoUD6mPttyw4%26feature%3Dyoutu.be&data=04%7C01%7C%7C06e9af5d73e049f208f308d9ad9605de%7C84df9e7fe9f640afb435aaaaaaaaaaaa%7C1%7C0%7C637731682116056527%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C3000&sdata=b98SEo8Z8DwofyH6avEun1QY1iV4I8HvLedR81Zaz0w%3D&reserved=0

We look forward to seeing you on Thursday, best wishes, Massimiliano on the behalf of the One World ABC Seminar Organisers.

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When: Thursday, November 25, 11.30am UK Time Speaker: Clara Grazianhttps://emea01.safelinks.protection.outlook.com/?url=https%3A%2F%2Fresearch.unsw.edu.au%2Fpeople%2Fdr-clara-grazian&data=04%7C01%7C%7C06e9af5d73e049f208f308d9ad9605de%7C84df9e7fe9f640afb435aaaaaaaaaaaa%7C1%7C0%7C637731682116056527%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C3000&sdata=qXZmjq41hn0b6MMqUB221QeyUNIkpEZtLzyr7pL0bTQ%3D&reserved=0, UNSW Sidney Title: PET-ABC: A Bayesian likelihood free tool for kinetic models Abstract: We describe an intuitive, easy to use method called PET-ABC that enables full Bayesian statistical inference from single subject dynamic PET data. The performance of PET-ABC was compared with weighted non-linear least squares (WNLS) in terms of reliability of kinetic parameter estimation and statistical power for model selection. Dynamic PET data based on 1-tissue and 2-tissue compartmental models were simulated with 2 noise models and 3 noise levels. PET-ABC was used to evaluate the reliability of parameter estimates under each condition. It was also used to perform model selection for a simulated noisy dataset composed of a mixture of 1- and 2-tissue compartment kinetics. Finally, PET-ABC was used to analyze a non-steady state dynamic study performed on a fully conscious rat administered either 2 mg.kg-1 amphetamine or saline 20 min after tracer injection.

Reference: Y. Fan, G. Emvalomenos, C. Grazian, S. R. Meikle, PET-ABC: fully Bayesian likelihood-free inference for kinetic modelshttps://emea01.safelinks.protection.outlook.com/?url=https%3A%2F%2Fiopscience.iop.org%2Farticle%2F10.1088%2F1361-6560%2Fabfa37%2Fmeta&data=04%7C01%7C%7C06e9af5d73e049f208f308d9ad9605de%7C84df9e7fe9f640afb435aaaaaaaaaaaa%7C1%7C0%7C637731682116066523%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C3000&sdata=dLe1qNcDf6BH4V0NChIw2WezC7afbEY35z%2FLqWVEBk0%3D&reserved=0, Physics in Medicine and Biology, 66 (11), 115002, 2021.

------ Dr. Massimiliano Tamborrino Assistant Professor Department of Statistics University of Warwick https://warwick.ac.uk/tamborrinohttps://emea01.safelinks.protection.outlook.com/?url=https%3A%2F%2Fwarwick.ac.uk%2Ftamborrino&data=04%7C01%7C%7C06e9af5d73e049f208f308d9ad9605de%7C84df9e7fe9f640afb435aaaaaaaaaaaa%7C1%7C0%7C637731682116066523%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C3000&sdata=8S0YhxnO%2FLVYoaLSHJNypZGxY%2F5onBQvoiPkHzdrsz0%3D&reserved=0