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Bayesian statistical modelling

Bayesian methods combine the evidence from the data at hand with previous quantitative knowledge to analyse practical problems in a wide range of areas. The calculations were previously complex, but it is now possible to routinely apply Bayesian methods due to advances in computing technology and the use of new sampling methods for estimating parameters.

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  • "Bayesian methods combine the evidence from the data at hand with previous quantitative knowledge to analyse practical problems in a wide range of areas. The calculations were previously complex, but it is now possible to routinely apply Bayesian methods due to advances in computing technology and the use of new sampling methods for estimating parameters."@en
  • "Bayesian methods combine the evidence from the data at hand with previous quantitative knowledge to analyse practical problems in a wide range of areas. The calculations were previously complex, but it is now possible to routinely apply Bayesian methods due to advances in computing technology and the use of new sampling methods for estimating parameters. Such developments together with the availability of freeware such as WINBUGS and R have facilitated a rapid growth in the use of Bayesian methods, allowing their application in many scientific disciplines, including applied statistics, public."

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  • "Livre électronique (Descripteur de forme)"
  • "Libros electrónicos"
  • "Electronic books"
  • "Electronic books"@en
  • "Ressource Internet (Descripteur de forme)"
  • "Naslagwerken (vorm)"

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  • "Bayesian Statistical Modelling"
  • "Bayesian statistical modelling"
  • "Bayesian statistical modelling"@en

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