This options relates to alternative numerical hessian computations:
optim=('Hessian',1) is the default dynare numeric Hessian
optim=('Hessian',0) is the outer product gradient
optim=('Hessian',2) is the 'mixed' outer product gradient, where diagonal elements using second order derivation formula,
Both 0 and 2 cases require univariate filters, to ensure using maximum number of individual densities.
- also moves several options to subfields of options structure
- allows setting options of newrat
- requires newrat to have compatible kalman_algo specified in order for it to not change options_
- explicitly disallows using analytical derivation with numerical gradient (before the numerical gradient request was overwritten)
- always outputs hessian returned by optimizer (empty matrix if not computed) and deletes subsequent overwriting if cova_compute=0
* Second and third positional arguments after the name of the
estimated parameter in the estimated_params block are only
considered in the optimization stage (not in the MCMC)
* Do not store bounds in bayestopt_, because bounds do not always
reflect restrictions implied by prior shapes.
* prior_bounds routine returns a structure (with fields lb and ub)
instead of a matrix.
Because xparam1 is used by the smoother, but xparam was set to the posterior mean, the non-Bayesian smoother results were based on the parameters at the mode, which are stored in xparam1.
- Suppresses spurious output from dynare_estimation_1.m
- Removes unset output argument from dynare_estimation_init.m (which seems to be totally unused as it was not set at all and nobody reported any crashes)
- Corrects header of dynare_estimation_init.m
- in dr_block.m and ep_residuals.m the option was hardcoded and disabled
- for csminwel1.m, no verbosity option exists anymore, thus definitions preceeding calls to it were redundant as was the options_.osr.verbose
MCMC convergence diagnostics should be computed even if mh_replic is less than 2000, provided that the total number of iterations is greater than 2000 (if option load_mh_file is used).
Details about the MCMC can be loaded in the workspace with the following command:
>> internals --load-mh-history <NAME_OF_THE_MOD_FILE>
under the name mcmc_informations, or printed in the command window, using the following
command:
>> internals --display-mh-history <NAME_OF_THE_MOD_FILE>
Uses preprocessing capabilities introduced in 07137e804bFixes#392 and #494. Also fixes a bug in the checking for positive definiteness of covariance matrices in likelihood functions
Allows for calibrated covariances by reading them out and setting them after covariance matrix has been reconstructed from correlation and variances.
Adds unit test
Frédéric Karamé
Johannes Pfeifer
Marco Ratto
Johannes Pfeifer
Stéphane Adjemian (Charybdis)
Houtan Bastani
MichelJuillard
Sébastien Villemot