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Tags

#bayes #programming #r #statistics

Question

Once a mathematical model is chosen for bayesian analysis what comes next wrt to the parameters of this model?

Answer

Specify a prior distribution on the parameters. The prior must pass muster with the audience of the analysis, such as skeptical scientists.

Tags

#bayes #programming #r #statistics

Question

Once a mathematical model is chosen for bayesian analysis what comes next wrt to the parameters of this model?

Answer

?

Tags

#bayes #programming #r #statistics

Question

Once a mathematical model is chosen for bayesian analysis what comes next wrt to the parameters of this model?

Answer

Specify a prior distribution on the parameters. The prior must pass muster with the audience of the analysis, such as skeptical scientists.

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ed, and which data variables are supposed to act as predictors? 2. Define a descriptive model for the relevant data. The mathematical form and its parameters should be meaningful and appropriate to the theoretical purposes of the analysis. 3. <span>Specify a prior distribution on the parameters. The prior must pass muster with the audience of the analysis, such as skeptical scientists. 4. Use Bayesian inference to re-allocate credibility across parameter values. Interpret the posterior distribution with respect to theoretically meaningful issues (assuming that the mod

#### Original toplevel document (pdf)

owner: shihabdider - (no access) - Doing Bayesian Data Analysis, p27

ed, and which data variables are supposed to act as predictors? 2. Define a descriptive model for the relevant data. The mathematical form and its parameters should be meaningful and appropriate to the theoretical purposes of the analysis. 3. <span>Specify a prior distribution on the parameters. The prior must pass muster with the audience of the analysis, such as skeptical scientists. 4. Use Bayesian inference to re-allocate credibility across parameter values. Interpret the posterior distribution with respect to theoretically meaningful issues (assuming that the mod

status | not learned | measured difficulty | 37% [default] | last interval [days] | |||
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repetition number in this series | 0 | memorised on | scheduled repetition | ||||

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