Recomputes the likelihood parameter for exponential noise.
[newLik] = em_lapl(oldLikPar,y,cavM,cavV,postM,postV);
[newLik] = em_lapl(oldLikPar,y,cavM,cavV,postM,postV) - the M-step in
lik.par. estimation of the coefficeient of the Laplace noise. The data is
assumed to be independent, thus an analytic expression is found (see MATLAB
code).
Parameters:
oldLikPar- preceeding value of the likelihood parameter.
y- training output.
cavM,cavV- (cavity) mean and variance of the GP.
postM,postV- mean and variance of the posterior process.
newLik- the new parameter.
demogp_reg, ogp, ogptrain, c_reg_lapl
Copyright (c) Lehel Csató (2001-2004)