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Changes between Version 1 and Version 2 of OfficialTolArchiveNetworkQltvRespModel


Ignore:
Timestamp:
Dec 20, 2010, 7:20:56 PM (15 years ago)
Author:
Víctor de Buen Remiro
Comment:

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  • OfficialTolArchiveNetworkQltvRespModel

    v1 v2  
    1616User can and should define scalar truncated normal or uniform prior information and
    1717bounds for all variables for which he/she has robust knowledge.[[BR]] [[BR]]
    18 [[LatexEquation( \beta_k \sim N\left(\nu_k, \sigma_k \right) )]]
    19 [[LatexEquation( l_k \le \beta_k \le u_k \wedge l_k < u_k)]]
     18[[LatexEquation( \beta_k \sim N\left(\nu_k, \sigma_k \right) )]] [[BR]] [[BR]]
     19[[LatexEquation( l_k \le \beta_k \le u_k \wedge l_k < u_k)]] [[BR]] [[BR]]
    2020When [[LatexEquation( \sigma_k )]] is infinite or unknown we will express a uniform
    2121prior.
    … …  
    2626
    2727It's also allowed to give any set of constraining linear inequations [[BR]] [[BR]]
    28 [[LatexEquation( A \beta \le a )]]
     28[[LatexEquation( A \beta \le a )]] [[BR]] [[BR]]
    2929
    3030=== Weighted Logit Regression ===