- Sa 19 Mai 2018
- MetaAnalysis
- Peter Schuhmacher

#### NumericalStats: What the Metropolis Markov Chain Monte Carlo sampler is good for

We use the Metropolis-Hasting algorithm to sample a 2-dimensional empirical distribution.

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HealthPoliticsEconomics | Quant Analytics | Numerics

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- Sa 19 Mai 2018
- MetaAnalysis
- Peter Schuhmacher

We use the Metropolis-Hasting algorithm to sample a 2-dimensional empirical distribution.

- Sa 12 Mai 2018
- MetaAnalysis
- Peter Schuhmacher

We let your robot climb the Matterhorn with a Markov Chain Monte Carlo walk

- So 01 April 2018
- MetaAnalysis
- Peter Schuhmacher

Using the coin flipping example, we give some arguments WHY the use of distribution vectors can be helpful as a preparation for Monte Carlo Markov Chain models and others and how this changes the role of medical researchers.

- Mi 10 Januar 2018
- MetaAnalysis
- Peter Schuhmacher

We provide a simple sampling engine which allows to generate random numbers that are distributed as an empirical and arbitrary distribution given as a data array.

- Mo 06 März 2017
- MetaAnalysis
- Peter Schuhmacher

By summarizing the rules of probability we build a bridge to the Bayesian formula