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- Timestamp:
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Mar 31, 2011, 9:07:59 AM (14 years ago)
- Author:
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Víctor de Buen Remiro
- Comment:
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v21
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v22
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58 | 58 | |
59 | 59 | == Satistical models == |
60 | | 1. BysMcmc: Bayesian Sparse Regression (BSR) |
61 | 60 | 1. [OfficialTolArchiveNetworkBysSampler BysSampler] Generic bayesian sampling tools. |
62 | 61 | 1. Generalized linear weighted regressions with [OfficialTolArchiveNetworkGrzLinModel GrzLinModel] |
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64 | 63 | [OfficialTolArchiveNetworkQltvRespModel QltvRespModel] (Logit and Probit regressions). |
65 | 64 | 1. [OfficialTolArchiveNetworkBysVecLinReg BysVecLinReg] Bayesian Vectorial Linear Regression. |
| 65 | 1. BysMcmc: Bayesian Sparse Regression (BSR) |
| 66 | * Published as a package instead of inside StdLib |
| 67 | * Modular syntax to get faster and easier expressions of models, and preparing to pararell processing: #745 |
| 68 | * Partial simulation, fixing and reloading parameters : #831, #951 |
| 69 | * Enhancement of missing treatment : #759 |
| 70 | * Internodal parameters : #810 |
| 71 | * Hierarquical Probit models : #814 |
| 72 | * Allowing ARMA factors with degree greater than 2 (experimental and not sufficiently tested): #762 |
| 73 | * Allowing periodical delta polinomials: #996 |
66 | 74 | |
67 | 75 | == Data tools == |