037eca4b9c
Fixed bug with ML estimation with analytic derivatives
2012-12-19 13:16:15 +01:00
e0018f8bca
Added overload subsasgn method in dynSeries class.
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Following syntax:
ts{'GDP_US'} = ts.{'GDP_US'}.log
applies the log function to the variable GDP_US in the dynSeries object ts. Note that this works on an arbitrary number of variables and that regular expressions can be used (see previous commits).
2012-12-12 16:16:11 +01:00
732d321606
Added the possibility to get the name of the i-th variable in a dynSeries object.
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The following syntax
A.name{i}
where A is a dynSeries object, returns the name of the i-th variable in A.
2012-12-12 16:16:11 +01:00
1f48a2bffe
Added overloaded mrdivide method in dynSeries class.
2012-12-12 16:16:11 +01:00
b48e0a8d75
Added set_names method in dynSeries class.
2012-12-12 16:16:11 +01:00
65bc1f2980
Fixed texinfo header.
2012-12-12 16:16:11 +01:00
96dea568b1
Added overload mtimes method in dynSeries class.
2012-12-12 16:16:11 +01:00
7878b806d6
Cosmetic changes.
2012-12-12 16:16:11 +01:00
2b6915cf8f
Added missing init and tex member in overload plus method (dynSerie class).
2012-12-12 16:16:10 +01:00
ad68019a06
Added overload minus method in dynSeries class.
2012-12-12 16:16:10 +01:00
f1a4ac5fff
Added overloaded uminus method in the dynSeries class.
2012-12-12 16:16:10 +01:00
1de31adf34
Added overload plus method for dynSeries class.
2012-12-12 16:16:10 +01:00
e27dd38c7f
Added overloaded isempty function for dynSeries class.
2012-12-12 16:16:10 +01:00
9ec22085b0
Fix wrong count of forward looking vars in check with block option
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Bug introduced in c121aa14b1
2012-12-11 18:10:01 +01:00
bcb59e373d
fixed bug in conditional forecasts whith constraints on only one period
2012-12-10 21:14:00 +01:00
2098beb089
Added save method (m, mat, csv formats) in dynSeries class.
2012-12-07 16:43:06 +01:00
73c96097bd
Append 'Y' to yearly dates.
2012-12-07 16:43:06 +01:00
c858b366f9
Added dot access to format method (dynDate).
2012-12-07 16:43:06 +01:00
96321a8afd
Added the possibility to select variables in a dynSeries object. It is possible to use regular expressions. Examples are given in unitary test #6 of subsref overloaded method.
2012-12-07 16:43:06 +01:00
e9458a8954
Removed useless functions (dynSeries).
2012-12-07 16:43:06 +01:00
78e9194fb4
Fixed horzcat overloaded method (dynSeries).
2012-12-07 16:43:06 +01:00
325b06de24
Updated texinfo headers.
2012-12-07 16:43:06 +01:00
454638d778
removed useless calls to set_default_options (already set in global_initialization.m)
2012-12-06 15:42:18 +01:00
38bc29ff05
clean up resol
2012-12-06 14:58:58 +01:00
0ab2c28fd5
-) fixed bugs when there is only one parameter estimated or when simulated moments uncertainty provides zero diagonal terms in the covariance matrix of model matrices;
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-) fixed bug in computing numerical derivatives of the LRE matrices in getJJ;
2012-12-05 09:46:12 +01:00
967eb63bbb
fix typo
2012-12-04 11:31:41 +01:00
e1527b215e
Added the possibility to populate an empty dynSeries object with a data file (csv, mat or m files).
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For instance, the following syntax is allowed:
dbload = dynSeries();
mydata = dbload('data_file.csv');
2012-12-03 16:15:37 +01:00
9783060575
Removed useless path instructions.
2012-12-03 16:15:37 +01:00
f89b5cfe38
Allow instantiation of dynSeries classw with a datafile (csv, mat or m). Fixed various bugs.
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For instance, the follwing syntax is allowed:
data = dynSeries('mydata.csv');
assuming that the csv file is in the matlab's path.
2012-12-03 16:15:36 +01:00
16cba161ac
Fixed bug (removed first row of data).
2012-12-03 16:15:36 +01:00
7f10bccf4a
Moved isweekly, ismonthly, isquaterly and isyearly routines from matlab/@dynSeries/private to matlab/utilities/dates. Adapted dynare_config conformably to these changes.
2012-12-03 16:15:36 +01:00
d4595a85a0
Moved get_cells_id routine from matlab/@dynSeries/private to matlab.
2012-12-03 16:15:36 +01:00
c100a04505
Moved check_file_extension routine from matlab/@dynSeries/private to matlab.
2012-12-03 16:15:36 +01:00
ce6f57a5cb
Fixed bug. Removed file extension.
2012-12-03 16:15:36 +01:00
118a823310
fixed bug in stochastic extended path for orders > 1
2012-12-02 14:28:38 +01:00
c06bd0ae75
Support nograph option for posterior distribution plots
2012-11-29 14:52:33 +01:00
0421387732
Require Octave 3.6, since we use parfor
2012-11-29 14:52:33 +01:00
8eb6284b3c
Fixed bug (the name of the covariance matrix changed in previous commit).
2012-11-29 12:56:01 +01:00
2ff996d077
Do not build the tree for future shocks if options_.ep.stochastic.order = 0.
2012-11-29 12:56:01 +01:00
e84b8de476
Fixed typos.
2012-11-29 12:56:01 +01:00
f42446033c
Compute tensorial grid (based on a univariate gauss hermite quadrature) for future shocks by default.
2012-11-29 12:56:01 +01:00
c9469a3626
Buikd the tree of future shocks in setup_stochastic_perfect_foresight_model_solver routine.
2012-11-29 12:56:01 +01:00
74c856b727
Cosmetic change. Redifinition of the nodes (removed the division by the square root of two) so that the routine is specialized for the integration of functions with gaussian weights.
2012-11-29 12:56:01 +01:00
5c0d387c4f
Cosmetic change. Changed the organization of options for (stochastic) extended path
2012-11-29 12:56:01 +01:00
63157949ca
Removed useless routine.
2012-11-29 12:56:00 +01:00
e9c552c436
Initialize pfm structure in a new routine (setup_stochastic_perfect_foresight_model_solver).
2012-11-29 12:56:00 +01:00
13ea421137
Added routine computing Gaussian cubature weights and nodes (implementation of algorithms described in Stroud 1971).
2012-11-29 12:56:00 +01:00
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
f01b97da18
Check that freq property is also empty.
2012-11-29 12:56:00 +01:00
7c9ce9152d
fixing bug in error message for failed homotopy (steady)
2012-11-28 21:32:15 +01:00
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
c9a2dbcb72
Bug fix for when a parameter is orthogonal to any other one in the model.
2012-11-26 08:22:42 +01:00
22956ea4a4
Removed useless instruction (default value of exit_flag is 1).
2012-11-21 10:11:30 +01:00
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
2ee1ebbe47
fix a bug in the output order
2012-11-21 09:00:43 +01:00
db2615a4c7
Use economy-size decomposition option of qr2 routine.
2012-11-20 14:39:45 +01:00
af23d72cb1
Allow economy-size decomposition with qr2 routine.
2012-11-19 17:43:59 +01:00
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
93e6b41df5
Added routines that will be used to import data (csv file) in a dynSeries object.
2012-11-19 16:17:00 +01:00
c3ff5d92d3
Cosmetic change.
2012-11-19 16:17:00 +01:00
5c893f501b
making extended path ready for parallel computing with parfor
2012-11-17 20:55:01 +01:00
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
92727ed75c
Remove obsolete stoch_simul_sparse.m
2012-11-16 18:55:42 +01:00
ddbeb8ceaa
Remove unused oo_.dr.kae, oo_.dr.kad
2012-11-16 17:51:25 +01:00
31a13db66a
Remove duplicate information in M_.blocksMFS
2012-11-16 17:39:03 +01:00
6139af89d5
add pruning in the auxiliary particle filter.
2012-11-16 17:27:54 +01:00
bf19ab801f
Remove duplicate information in M_.blocksEQU
2012-11-16 17:16:40 +01:00
35c77c2e46
typo fixed.
2012-11-16 13:25:41 +01:00
915a203add
bug fixed.
2012-11-16 13:12:21 +01:00
919bd97682
add minor modifications.
2012-11-16 12:35:11 +01:00
202d8a2bd2
minor modifications
2012-11-16 12:35:11 +01:00
c8c7b9faf6
minor modifications.
2012-11-16 12:35:11 +01:00
eb9bc512d7
fixed bug in calculation of observed mean and variance + add the possibility for smooth resampling
2012-11-16 12:35:11 +01:00
3a9eed00df
fixed bugs for estimating a gaussian-mixture distribution.
2012-11-16 12:25:46 +01:00
186de044f4
fix bugs for sampling in a gaussian-mixture distributions.
2012-11-16 12:25:46 +01:00
f7e3ad7b25
fix bugs in k-means code.
2012-11-16 12:25:45 +01:00
f41e969dbe
computes the weights and the nodes for approximating gaussian distributions using the scaled unscented approach.
2012-11-16 12:25:45 +01:00
a184e80a89
computes the nodes and weights for approximating a gaussian distribution.
2012-11-16 12:25:45 +01:00
d5666529af
computes the density of particles in a gaussian-mixture distribution.
2012-11-16 12:25:45 +01:00
2fb1065b4f
computes the density of particles in a gaussian distribution.
2012-11-16 12:25:45 +01:00
56e723c08e
Computes the density of observables as a function of states.
2012-11-16 12:25:45 +01:00
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
ab2ae38e8f
computes incremental weights for gaussian-mixture filters.
2012-11-16 12:25:45 +01:00
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
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
553c26e0b3
gaussian nonlinear filter : uses a gaussian approximation for particles.
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fix bugs and normalize the way we write the likelihood.
2012-11-16 12:25:45 +01:00
4725a2054d
compute incremental weights for gaussian filters.
2012-11-16 12:25:44 +01:00
a96850a090
fix bugs on sorting variables.
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test different cases before doing resampling
2012-11-16 12:25:44 +01:00
f0fcfa3b62
fix bugs in the univariate smooth resampling approach.
2012-11-16 12:25:44 +01:00
c6e5368a9d
fix bug for weights initialization.
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fix bug for calculating observed predicted mean and variance with the correct weights.
2012-11-16 12:25:44 +01:00
edf9955c09
fix bug when comparing xparam with upper and lower bounds.
2012-11-16 12:23:18 +01:00
b6c72f18fa
-add a variable to make a difference between gaussian approximations during importance sampling and approximation of states (for gaussian and gaussian-mixture filters)
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-modify the default of parameters for the gaussian approximation using the scaled unscented transformation
2012-11-16 12:18:55 +01:00
6350962186
Fixed copyright.
2012-11-16 12:18:55 +01:00
7fd1df2505
Fixed bug when comparing xparam1 with upper and lower bounds.
2012-11-16 12:18:54 +01:00
79b5db3037
Cosmetic change.
2012-11-15 13:54:21 +01:00
89356ba248
Added a unitary test in the overloaded colon method of the dynDate class, using the new feature introduced in the previous commits.
2012-11-15 13:53:35 +01:00
67e8db365c
Changed subsref overloaded method (dynDate): added a new interface to populate empty dynDate objects with specified frequency. Added unitary test.
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For instance if we instantiate an empty dynDate object for quaterly dates:
qq = dynDate('Q');
Then we can populate this object as follows (2009 second quarter):
d1 = qq(2009,2);
2012-11-15 12:40:24 +01:00
0b7e5910ae
Changed a condition in dynDate constructor (for yearly dates).
2012-11-15 12:34:11 +01:00
e71ccaef0b
Added the possibility to instantiate empty quaterly, monthly or weekly dynDate objects. Added unitary test.
2012-11-15 11:07:43 +01:00
2313ec2d94
Fixed function name, header and error message.
2012-11-14 12:32:03 +01:00
Marco Ratto
Stéphane Adjemian (Charybdis)
Sébastien Villemot
Michel Juillard
Houtan Bastani
Michel Juillard
Frédéric Karamé