Dear Michel and Sebastien, a couple of weeks ago I committed a change to the optimizer n.5 which we decided not to cherry pick to 4.2 since it was not a debug and but an improvement. In fact, I think we could port it to 4.2 because I realized that in some cases it fixes a bug. The problem arises when we have relatively short data series (say 60 quarters), but a quite large number of observed series (say 20-25). Assume we have 70 parameters to estimate, the outer product gradient used by mode_compute=5 in version 4.2 is rank deficient as if there was insufficient data to estimate 70 params while the data (e.g. 60x20) are more than enough. The modifications I did would fix this for 4.2. What do you think? please let me know how to proceed thanks for your help best Marco -- Marco Ratto, (http://easu.jrc.ec.europa.eu/), Joint Research Centre The European Commission, TP 361, 21027 ISPRA(VA), ITALY Tel: +39 0332 78 5639 Fax: +39 0332 78 5733 marco.ratto@jrc.ec.europa.eu
Marco Ratto <marco.ratto@jrc.ec.europa.eu> writes:
a couple of weeks ago I committed a change to the optimizer n.5 which we decided not to cherry pick to 4.2 since it was not a debug and but an improvement. In fact, I think we could port it to 4.2 because I realized that in some cases it fixes a bug.
Are you talking about commit aac282d3711d96004e4adee9e6835b2f3dc55a08 ? I will cherry-pick it to 4.2 if you confirm that it is the right commit. Best, -- Sébastien Villemot CEPREMAP - Paris School of Economics Homepage: http://www.dynare.org/sebastien Landline phone: +33 1 40 77 49 90 SIP phone: sebastien.villemot@ekiga.net PGP Key: 0xA6C029B9D06B2913D71C105EBE37E801FB6EFF8B (http://pgp.mit.edu/)
participants (2)
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Marco Ratto -
Sébastien Villemot