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SUMMARY:Bayesian and Frequentist Probability
DTSTART:20260921T080000Z
DTEND:20261002T140000Z
DTSTAMP:20260803T081600Z
UID:indico-event-8040@indico.ph.tum.de
DESCRIPTION:Speakers: Jed Homer (LMU/ODSL)\n\nORIGINS Data Science Lab (OD
 SL) is pleased to invite you to the Statistics Block Course 2026\, taking 
 place from 21st September to 2nd October 2026 at the Universitäts-Sternwa
 rte München.This two-week programme is designed for PhD students in physi
 cs who apply statistical methods in their research. Interested MSc student
 s from LMU and TUM are also very welcome.\n\nThe course will be split into
  two thematic blocks:\n\n\nBlock 1: Probabilistic Reasoning – An introdu
 ction to the fundamental concepts of Bayesian statistics\, covering probab
 ility theory\, parameter estimation\, model comparison\, and practical app
 lications.\n\n\nBlock 2: Statistical Inference – An introduction to the 
 key methods of Frequentist statistics\, including hypothesis testing\, con
 fidence intervals\, and advanced inference techniques.\n\n\nFor MSc studen
 ts it is possible to take this course for credit\, where there will be a w
 ritten exam two weeks after the end of the course.\n\nhttps://indico.ph.tu
 m.de/event/8040/
LOCATION:Lecture Hall (LMU / USM)
URL:https://indico.ph.tum.de/event/8040/
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