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Changes between Version 6 and Version 7 of OfficialTolArchiveNetworkGrzLinModel


Ignore:
Timestamp:
Mar 30, 2011, 2:18:59 PM (14 years ago)
Author:
Víctor de Buen Remiro
Comment:

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  • OfficialTolArchiveNetworkGrzLinModel

    v6 v7  
    2525 * [[LatexEquation( \eta=X\beta\in\mathbb{R}^{n} )]] the linear prediction
    2626 * [[LatexEquation( g )]] the link function
     27 * [[LatexEquation( g^-1 )]] the inverse-link or mean function
    2728 * [[LatexEquation( f)]] the density function of a distribution of the
    2829   [http://en.wikipedia.org/wiki/Exponential_family exponential family]
     
    3536The density function becomes as a real valuated function of at least two parameters
    3637
    37   [[LatexEquation( f\left(y_{k};\mu_{k}\right) )]]
     38  [[LatexEquation( f\left(y;\mu\right) )]]
    3839
    39 the output [[LatexEquation( y_k )]] and the average
     40For each row [[LatexEquation( k=1 \dots  n)]] we will know the output [[LatexEquation( y_k )]]
     41and the average
    4042
    4143  [[LatexEquation( \mu_{k}=g^{-1}\left(\eta_{k}\right)=g^{-1}\left(x_{k}\beta\right) )]]
    4244
    43 for each row [[LatexEquation( k=1 \dots  n)]]:
     45Each particular distribution may have its own additional parameters.
    4446
    45 This class also implements
     47This class also implements these common features
    4648 * scalar prior information of type normal or uniform, truncated or not in both cases, and
    4749 * linear constraining inequations over linear parameters [[BR]][[BR]]
     
    5355There is a sample of use in [source:/tolp/OfficialTolArchiveNetwork/GrzLinModel/test/test_0001/test.tol test_0001/test.tol]
    5456
     57In this case we have
     58
     59 * the identity as link function and mean function [[BR]] [[BR]]
     60   [[LatexEquation( \eta = g\left(\mu\right)= \mu = g^{-1}\left(\eta\right) = \eta)]] [[BR]] [[BR]]
     61 * the density function has the variance as extra parameter[[BR]] [[BR]]
     62   [[LatexEquation( f\left(y;\mu, \sigma^2 \right) ) = \frac{1}{\sqrt{2\pi\sigma^{2}}}e^{^{-\frac{1}{2}\frac{\left(y-\mu\right)^{2}}{\sigma^{2}}}} )]]
     63
     64
    5565=== Weighted Poisson Regresion ===
    5666
    5767It will be implemented in [source:/tolp/OfficialTolArchiveNetwork/GrzLinModel/WgtPoisson.tol GrzLinModel::@WgtPoisson] but is not available yet.
     68
     69In this case we have
     70
     71 * the link function [[BR]] [[BR]]
     72   [[LatexEquation( \eta g\left(\mu\right)=\ln\left(\mu\right) )]] [[BR]]  [[BR]]
     73 * the mean function [[BR]] [[BR]]
     74   [[LatexEquation( \mu = g^{-1}\left(\eta\right)=\exp\left(\eta\right) )]] [[BR]]  [[BR]]
     75 * the probability mass function [[BR]] [[BR]]
     76   [[LatexEquation( f\left(y;\mu \right) ) = \frac{1}{y!}e^{-\mu}\mu^{y} )]]
     77
    5878
    5979=== Weighted Qualitative Regresion ===