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SUMMARY:Advanced statisitcal tools for cosmology and particle physics
DTSTART;VALUE=DATE-TIME:20090504T130000Z
DTEND;VALUE=DATE-TIME:20090504T140000Z
DTSTAMP;VALUE=DATE-TIME:20261108T112645Z
UID:indico-event-1692@indico.ific.uv.es
DESCRIPTION:In the last few years\, the applications of Bayesian methods t
 o cosmology has flourished\, and it is presently having a considerable imp
 act in the particle physics community\, as well. In many respects\, Bayesi
 an methods have proven to be vastly superior to more traditional statistic
 al tools\, offering the advantage of higher efficiency and of a consistent
  conceptual basis for dealing with the problem of induction in the presenc
 e of uncertainty.\nIn these talks I will review Bayesian probability theor
 y and its conceptual underpinnings\, Bayes' Theorem and the role of priors
 . I will discuss the problemof parameter inference and its general solutio
 n\, along with numerical techniques such as Monte Carlo Markov Chain metho
 ds. I will then discuss the theory and application of Bayesian model compa
 rison\, discussing the notions of Bayesian evidence and effective model co
 mplexity\, and how to compute and interpret those quantities. I will also 
 survey the status of Bayesian forecasting and experiment optimisation. Som
 e recent applications to cosmology and supersymmetry phenomenology will al
 so be briefly discussed.\nTwo day Lectures: May 4-5\, 2009\,15:00-16:30. S
 ala de Juntas II del IFIC.\n\nhttps://indico.ific.uv.es/event/1692/
LOCATION:Edf. Institutos de Investigación Sala de Juntas del IFIC
URL:https://indico.ific.uv.es/event/1692/
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