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1.
Response / BENDAVID, Josh (speaker) (California Institute of Technology (US))
Approximate Bayesian computation (ABC) is the name given to a collection of Monte Carlo algorithms used for fitting complex computer models to data. The methods rely upon simulation, rather than likelihood based calculation, and so can be used to calibrate a much wider set of simulation models [...]
2015 - 447. LPCC Workshops; Data Science @ LHC 2015 Workshop External links: Talk details; Event details In : Data Science @ LHC 2015 Workshop
2.
ABC Method / WILKINSON, Richard (speaker) (University of Sheffield)
Approximate Bayesian computation (ABC) is the name given to a collection of Monte Carlo algorithms used for fitting complex computer models to data. The methods rely upon simulation, rather than likelihood based calculation, and so can be used to calibrate a much wider set of simulation models [...]
2015 - 2428. LPCC Workshops; Data Science @ LHC 2015 Workshop External links: Talk details; Event details In : Data Science @ LHC 2015 Workshop
3.
Massively parallel Markov chain Monte Carlo with BAT / Beaujean, Frederik (speaker) (Max Planck Institute for Physics)
The Bayesian Analysis Toolkit (BAT) is a C++ library designed to analyze data through the application of Bayes' theorem. For parameter inference, it is necessary to draw samples from the posterior distribution within the given statistical model. At its core, BAT uses an adaptive Markov Chain Monte Carlo (MCMC) algorithm. As an example of a challenging task, we consider the analysis of rare B-decays in a global fit involving about 20 observables measured at the B-factories and by the CDF and LHCb collaborations. A single evaluation of the likelihood requires approximately 1 s. In addition to the 3 -- 12 parameters of interest, there are on the order of 25 nuisance parameters describing uncertainties from standard model parameters as well as from unknown higher order theory corrections and non-perturbative QCD effects. The resulting posterior distribution is multi-modal and shows significant correlation between parameters as well as pronounced degeneracies, hence the standard MCMC methods fail to produce accurate results. Parallelization is the only solution to obtain a sufficient number of samples in reasonable time. We present an enhancement of existing MCMC algorithms, including the ability for massive parallelization on a computing cluster and, more importantly, a general scheme to induce rapid convergence even in the face complicated posterior distributions..
2012 - 1652. Conferences; Computing in High Energy and Nuclear Physics (CHEP) 2012 External links: Talk details; Event details In : Computing in High Energy and Nuclear Physics (CHEP) 2012
4.
Calibration of stochastic, agent-based neuron growth models with approximate Bayesian computation / Duswald, Tobias (CERN ; Munich, Tech. U.) ; Breitwieser, Lukas (ETH, Zurich (main)) ; Thorne, Thomas (Surrey U.) ; Wohlmuth, Barbara (Munich, Tech. U.) ; Bauer, Roman (Surrey U.)
Understanding how genetically encoded rules drive and guide complex neuronal growth processes is essential to comprehending the brain’s architecture, and agent-based models (ABMs) offer a powerful simulation approach to further develop this understanding. However, accurately calibrating these models remains a challenge. [...]
2024 - 40 p. - Published in : J. Math. Biol. 89 (2024) 50 Fulltext: PDF;
5. Recommendations of the Finance Committee to Council as to the Financing of the 1965 Supplementary Programme
Recommandations du Comité des Finances au Conseil au sujet du financement du programme supplémentaire pour 1965
CERN/0572
28th Session of Council ; 1964
English: PDF
French: PDF
6. Expenditure in Excess of Provisions
Dépassements de crédits
CERN/FC/0726/Add.
64th Meeting of Finance Committee ; 1964
English: PDF
French: PDF
7. List of Participants
Liste des participants
CERN/FC/0740
64th Meeting of Finance Committee ; 1964
English: PDF
French: PDF
8. Financing of 1965 Supplementary Programme
CERN/FC/0742
64th Meeting of Finance Committee ; 1964
English: PDF
9. Draft Agreements Concerning the Site Leased to CERN on French Territory - Drafts Letter of Interpretation and Acknowledgement of Receipt
Projets d'accords relatifs au terrain sis en territoire français et donne à bail au CERN - Projets lettre d'interprétation et accuse de réception
CERN/0529/Rev./Add.
28th Session of Council ; 1964
English: PDF
French: PDF
10. Draft Agenda
Ordre du jour provisoire
CERN/FC/0738/Rev.
64th Meeting of Finance Committee ; 1964
English: PDF
French: PDF

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