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512512 &emsp ;&ensp ; 2.1.3. ** [ Weighted least squares] ( /P/glm-wls ) ** <br >
513513 &emsp ;&ensp ; 2.1.4. ** [ Maximum likelihood estimation] ( /P/glm-mle ) ** <br >
514514
515- 2.2. Multivariate Bayesian linear regression <br >
516- &emsp ;&ensp ; 2.2.1. ** [ Conjugate prior distribution] ( /P/mblr-prior ) ** <br >
517- &emsp ;&ensp ; 2.2.2. ** [ Posterior distribution] ( /P/mblr-post ) ** <br >
518- &emsp ;&ensp ; 2.2.3. ** [ Log model evidence] ( /P/mblr-lme ) ** <br >
515+ 2.2. Transformed general linear model <br >
516+ &emsp ;&ensp ; 2.2.1. * [ Definition] ( /D/tglm ) * <br >
517+ &emsp ;&ensp ; 2.2.2. ** [ Derivation of the distribution] ( /P/tglm-dist ) ** <br >
518+ &emsp ;&ensp ; 2.2.3. ** [ Equivalence of parameter estimates] ( /P/tglm-para ) ** <br >
519+
520+ 2.3. Inverse general linear model <br >
521+ &emsp ;&ensp ; 2.3.1. * [ Definition] ( /D/iglm ) * <br >
522+ &emsp ;&ensp ; 2.3.2. ** [ Derivation of the distribution] ( /P/iglm-dist ) ** <br >
523+ &emsp ;&ensp ; 2.3.3. ** [ Best linear unbiased estimator] ( /P/iglm-blue ) ** <br >
524+ &emsp ;&ensp ; 2.3.4. * [ Corresponding forward model] ( /D/cfm ) * <br >
525+ &emsp ;&ensp ; 2.3.5. ** [ Derivation of parameters] ( /P/cfm-para ) ** <br >
526+ &emsp ;&ensp ; 2.3.6. ** [ Proof of existence] ( /P/cfm-exist ) ** <br >
527+
528+ 2.4. Multivariate Bayesian linear regression <br >
529+ &emsp ;&ensp ; 2.4.1. ** [ Conjugate prior distribution] ( /P/mblr-prior ) ** <br >
530+ &emsp ;&ensp ; 2.4.2. ** [ Posterior distribution] ( /P/mblr-post ) ** <br >
531+ &emsp ;&ensp ; 2.4.3. ** [ Log model evidence] ( /P/mblr-lme ) ** <br >
519532
5205333 . Poisson data
521534
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