Added documentation for prior command (CLI).
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@ -13040,6 +13040,48 @@ A @code{1*Nblck} array of doubles. Current acceptance ratios.
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@end deffn
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@deffn {MATLAB/Octave command line} prior [options[, ...]];
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Prints various informations about the prior distribution depending on
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the options. If no options are provided, the command returns the list
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of available options. Following options are available:
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@table @code
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@item table
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Prints a table describing the marginal prior distributions (mean, mode,
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std., lower and upper bounds, HPD interval).
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@item moments
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Computes and displays first and second order moments of the endogenous
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variables at the prior mode (considering the linearized version of the
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model).
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@item optimize
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Optimizes the prior density (starting from a random initial guess). The
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parameters such that the steady state does not exist or does not satisfy
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the Blanchard and Kahn conditions are penalized, as they would be when
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maximizing the posterior density. If a significant proportion of the
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prior mass is defined over such regions, the optimization algorithm may
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fail to converge to the true solution (the prior mode).
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@item simulate
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Computes the effective prior mass using a Monte-Carlo. Ideally the
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effective prior mass should be equal to 1, otherwise problems may arise
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when maximising the posterior density and model comparison based
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on marginal densities may be unfair. When comparing models, say @math{A}
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and @math{B}, the marginal densities, @math{m_A} and @math{m_B}, should
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be corrected for the estimated effective prior mass @math{p_A\neq p_B
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\leq 1} so that the prior mass of the compared models are identical.
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@item plot
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Plots the marginal prior density.
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@end table
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@end deffn
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@node Bibliography
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@chapter Bibliography
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