Bayesian Methods in Cosmology: Summary - PowerPoint PPT Presentation

1 / 14
About This Presentation
Title:

Bayesian Methods in Cosmology: Summary

Description:

Suppose it is black. What is the probability it came from urn A? Bayesian Basics ... Models versus Parameters. You usually know more than you think. ... – PowerPoint PPT presentation

Number of Views:29
Avg rating:3.0/5.0
Slides: 15
Provided by: Physicsand
Category:

less

Transcript and Presenter's Notes

Title: Bayesian Methods in Cosmology: Summary


1
Bayesian Methods in Cosmology Summary
  • Peter Coles
  • University of Nottingham

2
The Legacy of Bayes
  • Rev. Thomas Bayes (1702-1761)
  • Never published any papers during his lifetime
  • The general form of Bayes theorem was actually
    given later (by Laplace).

3
A Load of Balls
  • Two urns A and B.
  • A has 999 black balls and 1 white one B has 999
    white balls and one black one.
  • P( black urn A) .999, etc.
  • Now shuffle the two urns, and pull out a ball
    from it. Suppose it is black. What is the
    probability it came from urn A?

4
Bayesian Basics
  • Probability theory is the unique way to
    generalize Boolean (deductive logic) beautiful
    paper by Cox (1946).
  • Probability as a state of knowledge (versus
    probability as proportion)
  • ..but you can use frequencies!
  • Probabilities are always conditional, i.e. P(HI)
  • Requires priors - subjectivity?

5
Direct versus Inverse Reasoning
Theory (?, n, H0)
Observations
6
CONCORDANCE
7
(No Transcript)
8
Prior and Prejudice
  • Priors are essential. Models versus Parameters
  • You usually know more than you think..
  • Flat priors usually dont make much sense.
  • Maximum entropy, etc, give useful insights within
    a well-defined theory objective Bayesian
  • Model priors are hard to assign.
  • Even if your prior is subjective then at least
    your prejudice is on the table!

9
The Flatness Problem
  • Prior for ? in FRW Universe (without ?)?
  • All FRW Universes have ?1 at t0.
  • Jaynes principle gives
  • P(?)??(?-1)-1
  • Diverges at ?1

10
The Cosmic Tightrope
  • We shouldnt be surprised (even without
    inflation) that ?1..
  • ..but what trained the Universe to walk the
    tightrope?

11
Anthropic Principles and the Multiverse
  • The weak anthropic principle is Bayesian (Carter
    1974)
  • It states that everything is conditional on our
    existence as observers
  • The multiverse makes it frequentist..

12
Who needs ensembles?
  • Do you need a multiverse to apply anthropic
    reasoning?
  • Is this ensemble realized?
  • Can we be sure it is ergodic?
  • Unobservable things are generally bad
  • ..but it is not always necessary to observe
    things to deduce their existence

13
Issues
  • Priors!
  • Parameters versus Models (complexity)
  • Are the cosmological parameters really that
    interesting?
  • How worried should we be about WMAP?
  • Nested sampling, thermodynamic integration, etc.
    Benchmarking?

14
The Essence of Cosmology is Statistics
  • George McVittie
Write a Comment
User Comments (0)
About PowerShow.com