Stéphane Adjemian (Charybdis)
5c0d387c4f
Cosmetic change. Changed the organization of options for (stochastic) extended path
2012-11-29 12:56:01 +01:00
Stéphane Adjemian (Charybdis)
63157949ca
Removed useless routine.
2012-11-29 12:56:00 +01:00
Stéphane Adjemian (Charybdis)
e9c552c436
Initialize pfm structure in a new routine (setup_stochastic_perfect_foresight_model_solver).
2012-11-29 12:56:00 +01:00
Stéphane Adjemian (Charybdis)
13ea421137
Added routine computing Gaussian cubature weights and nodes (implementation of algorithms described in Stroud 1971).
2012-11-29 12:56:00 +01:00
Stéphane Adjemian (Charybdis)
7e47128212
Added new routines to load data from m, mat or csv files. Used by dynSeries class.
2012-11-29 12:56:00 +01:00
Stéphane Adjemian (Charybdis)
f01b97da18
Check that freq property is also empty.
2012-11-29 12:56:00 +01:00
Michel Juillard
7c9ce9152d
fixing bug in error message for failed homotopy (steady)
2012-11-28 21:32:15 +01:00
Marco Ratto
892df90629
1) Make the occurrence of sequences of univariate steps more likely;
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2) also impose a sequence of univariate steps in the first iteration;
2012-11-26 08:25:12 +01:00
Marco Ratto
c9a2dbcb72
Bug fix for when a parameter is orthogonal to any other one in the model.
2012-11-26 08:22:42 +01:00
Sébastien Villemot
d239ac39ce
Still fixing the matio test…
2012-11-22 11:59:57 +01:00
Sébastien Villemot
44e3bf5947
Improve matio workaround for RHEL 6
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Previous workaround was crashing the Windows snapshot
2012-11-22 11:17:03 +01:00
Michel Juillard
ebae08a585
wrapped line too long for some versions of ctangle
2012-11-22 10:26:47 +01:00
Sébastien Villemot
b7730f3025
Workaround for matio under RHEL 6 + EPEL 6
2012-11-21 16:58:40 +01:00
Stéphane Adjemian (Charybdis)
22956ea4a4
Removed useless instruction (default value of exit_flag is 1).
2012-11-21 10:11:30 +01:00
Stéphane Adjemian (Charybdis)
bb0993973a
Fixed output argument ordering in non_linear_dsge_likelihood.
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Merge remote-tracking branch 'refs/remotes/fred/master'
2012-11-21 10:07:30 +01:00
Frédéric Karamé
2ee1ebbe47
fix a bug in the output order
2012-11-21 09:00:43 +01:00
Stéphane Adjemian (Charybdis)
db2615a4c7
Use economy-size decomposition option of qr2 routine.
2012-11-20 14:39:45 +01:00
Stéphane Adjemian (Charybdis)
af23d72cb1
Allow economy-size decomposition with qr2 routine.
2012-11-19 17:43:59 +01:00
Stéphane Adjemian (Charybdis)
9f1ad5568e
New nonlinear filters routines and bug fixes.
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Merge remote-tracking branch 'refs/remotes/fred/master'
2012-11-19 16:23:07 +01:00
Stéphane Adjemian (Charybdis)
93e6b41df5
Added routines that will be used to import data (csv file) in a dynSeries object.
2012-11-19 16:17:00 +01:00
Stéphane Adjemian (Charybdis)
c3ff5d92d3
Cosmetic change.
2012-11-19 16:17:00 +01:00
Michel Juillard
5c893f501b
making extended path ready for parallel computing with parfor
2012-11-17 20:55:01 +01:00
Sébastien Villemot
020328a844
Adapt for new syntax of model_diagnostics
2012-11-17 10:29:14 +01:00
Sébastien Villemot
c121aa14b1
Remove oo_.dr.{nstatic,npred,nboth,nfwrd,nspred,nsfwrd}
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Replace them by equivalents in M_ (and an extra one: M_.dynamic).
IMPORTANT POINT: oo_.dr.npred used to count both purely backward and mixed/both
variables. This was the cause of lots of confusion. The new M_.npred only
counts purely backward variables.
We now have the following indentities:
M_.npred + M_.nboth + M_.nfwrd + M_.nstatic = M_.endo_nbr
M_.nspred = M_.npred + M_.nboth
M_.nsfwrd = M_.nfwrd + M_.nboth
M_.ndynamic = M_.npred + M_.nboth + M_.nfwrd
2012-11-16 20:05:13 +01:00
Sébastien Villemot
92727ed75c
Remove obsolete stoch_simul_sparse.m
2012-11-16 18:55:42 +01:00
Sébastien Villemot
ddbeb8ceaa
Remove unused oo_.dr.kae, oo_.dr.kad
2012-11-16 17:51:25 +01:00
Sébastien Villemot
31a13db66a
Remove duplicate information in M_.blocksMFS
2012-11-16 17:39:03 +01:00
Frédéric Karamé
6139af89d5
add pruning in the auxiliary particle filter.
2012-11-16 17:27:54 +01:00
Sébastien Villemot
bf19ab801f
Remove duplicate information in M_.blocksEQU
2012-11-16 17:16:40 +01:00
Frédéric Karamé
35c77c2e46
typo fixed.
2012-11-16 13:25:41 +01:00
Frédéric Karamé
915a203add
bug fixed.
2012-11-16 13:12:21 +01:00
Frédéric Karamé
919bd97682
add minor modifications.
2012-11-16 12:35:11 +01:00
Frédéric Karamé
202d8a2bd2
minor modifications
2012-11-16 12:35:11 +01:00
Frédéric Karamé
c8c7b9faf6
minor modifications.
2012-11-16 12:35:11 +01:00
Frédéric Karamé
eb9bc512d7
fixed bug in calculation of observed mean and variance + add the possibility for smooth resampling
2012-11-16 12:35:11 +01:00
Sébastien Villemot
badeec612f
Add interface and documentation to model_diagnostics
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Closes : #205
2012-11-16 12:34:49 +01:00
Frédéric Karamé
3a9eed00df
fixed bugs for estimating a gaussian-mixture distribution.
2012-11-16 12:25:46 +01:00
Frédéric Karamé
186de044f4
fix bugs for sampling in a gaussian-mixture distributions.
2012-11-16 12:25:46 +01:00
Frédéric Karamé
f7e3ad7b25
fix bugs in k-means code.
2012-11-16 12:25:45 +01:00
Frédéric Karamé
f41e969dbe
computes the weights and the nodes for approximating gaussian distributions using the scaled unscented approach.
2012-11-16 12:25:45 +01:00
Frédéric Karamé
a184e80a89
computes the nodes and weights for approximating a gaussian distribution.
2012-11-16 12:25:45 +01:00
Frédéric Karamé
d5666529af
computes the density of particles in a gaussian-mixture distribution.
2012-11-16 12:25:45 +01:00
Frédéric Karamé
2fb1065b4f
computes the density of particles in a gaussian distribution.
2012-11-16 12:25:45 +01:00
Frédéric Karamé
56e723c08e
Computes the density of observables as a function of states.
2012-11-16 12:25:45 +01:00
Frédéric Karamé
eb72df7bc6
computes the proposal distribution during the importance sampling step for gaussian-mixture filters. Fix many bugs.
2012-11-16 12:25:45 +01:00
Frédéric Karamé
ab2ae38e8f
computes incremental weights for gaussian-mixture filters.
2012-11-16 12:25:45 +01:00
Frédéric Karamé
7dcdd20f6e
gaussian mixture nonlinear filters: uses gaussian-mixture approximations for particles. Fix bugs and normalize the way likelihood is calculated.
2012-11-16 12:25:45 +01:00
Frédéric Karamé
b0788fae50
computes the proposal distribution during the importance sampling step in gaussian nonlinear filters. Uses a nonlinear Kalman filter and several gaussian approximations.
2012-11-16 12:25:45 +01:00
Frédéric Karamé
553c26e0b3
gaussian nonlinear filter : uses a gaussian approximation for particles.
...
fix bugs and normalize the way we write the likelihood.
2012-11-16 12:25:45 +01:00
Frédéric Karamé
4725a2054d
compute incremental weights for gaussian filters.
2012-11-16 12:25:44 +01:00