diff --git a/test/numerical/bayesian/LinearRegression.jl b/test/numerical/bayesian/LinearRegression.jl index f49defe..8758c25 100644 --- a/test/numerical/bayesian/LinearRegression.jl +++ b/test/numerical/bayesian/LinearRegression.jl @@ -4,7 +4,7 @@ tests = [ (Prior_Ridge(), 20.080877893580514), (Prior_Laplace(), 20.070783434589128), (Prior_Cauchy(), 20.019759144845644), - (Prior_TDist(), 20.042614331921428), + (Prior_TDist(), 20.08147561106022), (Prior_HorseShoe(), 20.042984550677183), ] diff --git a/test/numerical/bayesian/LogisticRegression.jl b/test/numerical/bayesian/LogisticRegression.jl index ac9ad61..2708cfa 100644 --- a/test/numerical/bayesian/LogisticRegression.jl +++ b/test/numerical/bayesian/LogisticRegression.jl @@ -32,9 +32,9 @@ tests = [ Prior_TDist(), ( (Logit(), 0.588835403024102), - (Probit(), 0.7635642627091132), - (Cloglog(), 0.7609943137312546), - (Cauchit(), 0.772095066757767) + (Probit(), 0.7642595382152266), + (Cloglog(), 0.7571826865012884), + (Cauchit(), 0.7713699945746971) ) ), ( diff --git a/test/numerical/bayesian/NegBinomialRegression.jl b/test/numerical/bayesian/NegBinomialRegression.jl index 58ed951..0d75a20 100644 --- a/test/numerical/bayesian/NegBinomialRegression.jl +++ b/test/numerical/bayesian/NegBinomialRegression.jl @@ -1,11 +1,11 @@ sanction = dataset("Zelig", "sanction") tests = [ - (Prior_Ridge(), 6.8753100988051274), - (Prior_Laplace(), 6.908332048475347), - (Prior_Cauchy(), 6.9829255933233645), - (Prior_TDist(), 6.915515248823249), - (Prior_HorseShoe(), 6.703023191644206), + (Prior_Ridge(), 6.999865486088317), + (Prior_Laplace(), 6.886529206600885), + (Prior_Cauchy(), 6.900001819752649), + (Prior_TDist(), 6.876415480722939), + (Prior_HorseShoe(), 6.902138507950901), ] for (prior, test_mean) in tests diff --git a/test/numerical/bayesian/PoissonRegression.jl b/test/numerical/bayesian/PoissonRegression.jl index aa7b6f0..d80b490 100644 --- a/test/numerical/bayesian/PoissonRegression.jl +++ b/test/numerical/bayesian/PoissonRegression.jl @@ -1,11 +1,11 @@ sanction = dataset("Zelig", "sanction") tests = [ - (Prior_Ridge(), 7.177578002644547), - (Prior_Laplace(), 7.1454141602741785), - (Prior_Cauchy(), 7.148699646242317), - (Prior_TDist(), 7.165968828611132), - (Prior_HorseShoe(), 7.144190707091213), + (Prior_Ridge(), 7.163048138457556), + (Prior_Laplace(), 7.164837449702468), + (Prior_Cauchy(), 7.166326185314563), + (Prior_TDist(), 7.167147727917408), + (Prior_HorseShoe(), 7.158818008027834), ] for (prior, test_mean) in tests