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- Timestamp:
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Oct 12, 2009, 5:27:41 PM (16 years ago)
- Author:
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Víctor de Buen Remiro
- Comment:
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Legend:
- Unmodified
- Added
- Removed
- Modified
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Property
Status
changed from
accepted
to
closed
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Property
Resolution
changed from
to
fixed
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v2
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v4
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13 | 13 | 1. {{{CovInvChol}}} : When we have precalculate the Choleski decomposition of inverse of covariance matrix. |
14 | 14 | |
| 15 | In ASCII .bsr files these are all alternative ways to define covariance matrices and the corresponding method of NameBlock argument of Import API |
| 16 | |
| 17 | 1. '''Fixed diagonal'''. |
| 18 | {{{ |
| 19 | ASCII: (<sigma2_name> | <sigma2_constant>) |
| 20 | Import: No method |
| 21 | }}} |
| 22 | 1. '''ARIMA covariance'''. |
| 23 | {{{ |
| 24 | ASCII: |
| 25 | (<sigma2_name> | <sigma2_constant>) * Cov = ArimaCovariance([[ARIMAStruct(...), ..., ARIMAStruct(...) ]]) |
| 26 | |
| 27 | Import: |
| 28 | Text Get.ARIMA.Size (Real unused); |
| 29 | Set Get.ARIMA.Factor(Real f); |
| 30 | }}} |
| 31 | 1. '''Explicit covariance'''. |
| 32 | {{{ |
| 33 | ASCII: |
| 34 | (<sigma2_name> | <sigma2_constant>) * Cov = {$ <TOL simmetric positive definite VMatrix expression $} |
| 35 | |
| 36 | Import: |
| 37 | Text Get.Cov(Real unused); |
| 38 | }}} |
| 39 | 1. '''Inverse of covariance'''. |
| 40 | {{{ |
| 41 | ASCII: |
| 42 | (<sigma2_name> | <sigma2_constant>) * CovInv = {$ <TOL simmetric positive definite VMatrix expression $} |
| 43 | |
| 44 | Import: |
| 45 | Text Get.CovInv(Real unused); |
| 46 | }}} |
| 47 | 1. '''Choleski decomposition of covariance''' |
| 48 | {{{ |
| 49 | ASCII: |
| 50 | (<sigma2_name> | <sigma2_constant>) * CovChol = {$ <TOL regular triangular VMatrix expression $} |
| 51 | |
| 52 | Import: |
| 53 | Text Get.CovChol(Real unused) |
| 54 | }}} |
| 55 | 1. '''Choleski decomposition of inverse of covariance'''. |
| 56 | {{{ |
| 57 | ASCII: |
| 58 | (<sigma2_name> | <sigma2_constant>) * CovInvChol = {$ <TOL regular triangular VMatrix expression $} |
| 59 | |
| 60 | Import: |
| 61 | Text Get.CovInvChol(Real unused); |
| 62 | }}} |
15 | 63 | |
16 | 64 | |
| 65 | |
| 66 | |
| 67 | |
| 68 | |
| 69 | |
| 70 | |