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distribution= Student(nu = 3.5, mu = 2.5, sigma = 1)
Estimated distribution= Student(nu = 3.6, mu = 2.52, sigma = 1)
distribution= Student(nu = 4.5, mu = [2.5,2.5], sigma = [1.5,1.5], R = [[ 1 0.5 ]
[ 0.5 1 ]])
Estimated distribution= Student(nu = 4.54, mu = [2.46,2.44], sigma = [1.52,1.5], R = [[ 1 0.505 ]
[ 0.505 1 ]])
distribution= Student(nu = 4.5, mu = [0,0.5,1,1.5,2,2.5,3,3.5,4,4.5]#10, sigma = [0.5,1.5,2.5,3.5,4.5,5.5,6.5,7.5,8.5,9.5]#10, R = 10x10
[[ 1 0.111 0.0625 0.04 0.0278 0.0204 0.0156 0.0123 0.01 0.00826 ]
[ 0.111 1 0.04 0.0278 0.0204 0.0156 0.0123 0.01 0.00826 0.00694 ]
[ 0.0625 0.04 1 0.0204 0.0156 0.0123 0.01 0.00826 0.00694 0.00592 ]
[ 0.04 0.0278 0.0204 1 0.0123 0.01 0.00826 0.00694 0.00592 0.0051 ]
[ 0.0278 0.0204 0.0156 0.0123 1 0.00826 0.00694 0.00592 0.0051 0.00444 ]
[ 0.0204 0.0156 0.0123 0.01 0.00826 1 0.00592 0.0051 0.00444 0.00391 ]
[ 0.0156 0.0123 0.01 0.00826 0.00694 0.00592 1 0.00444 0.00391 0.00346 ]
[ 0.0123 0.01 0.00826 0.00694 0.00592 0.0051 0.00444 1 0.00346 0.00309 ]
[ 0.01 0.00826 0.00694 0.00592 0.0051 0.00444 0.00391 0.00346 1 0.00277 ]
[ 0.00826 0.00694 0.00592 0.0051 0.00444 0.00391 0.00346 0.00309 0.00277 1 ]])
Estimated distribution= Student(nu = 4.47, mu = [0.00184,0.494,1.03,1.51,1.95,2.67,3.07,3.49,4.06,4.62]#10, sigma = [0.502,1.52,2.51,3.57,4.43,5.53,6.4,7.58,8.47,9.53]#10, R = 10x10
[[ 1 0.119 0.0719 0.0508 0.0326 0.0269 0.019 0.0166 -0.0122 0.0148 ]
[ 0.119 1 0.047 0.0129 0.0444 0.0173 0.0215 0.016 -0.0017 0.00538 ]
[ 0.0719 0.047 1 0.0271 0.0314 0.0108 0.0157 -0.0025 0.0092 -0.00676 ]
[ 0.0508 0.0129 0.0271 1 0.0246 0.013 0.0306 0.00919 -0.0199 -0.00445 ]
[ 0.0326 0.0444 0.0314 0.0246 1 0.0037 -0.00537 -0.00726 0.00417 6.28e-08 ]
[ 0.0269 0.0173 0.0108 0.013 0.0037 1 0.0339 0.0322 -0.000494 0.00256 ]
[ 0.019 0.0215 0.0157 0.0306 -0.00537 0.0339 1 -0.0266 0.00278 0.000571 ]
[ 0.0166 0.016 -0.0025 0.00919 -0.00726 0.0322 -0.0266 1 0.0144 0.0198 ]
[ -0.0122 -0.0017 0.0092 -0.0199 0.00417 -0.000494 0.00278 0.0144 1 0.00243 ]
[ 0.0148 0.00538 -0.00676 -0.00445 6.28e-08 0.00256 0.000571 0.0198 0.00243 1 ]])
Default distribution= Student(nu = 3, mu = 0, sigma = 1)
Student = Student(nu = 4.5, mu = [0,0.5,1,1.5,2,2.5,3,3.5,4,4.5]#10, sigma = [0.5,1.5,2.5,3.5,4.5,5.5,6.5,7.5,8.5,9.5]#10, R = 10x10
[[ 1 0.111 0.0625 0.04 0.0278 0.0204 0.0156 0.0123 0.01 0.00826 ]
[ 0.111 1 0.04 0.0278 0.0204 0.0156 0.0123 0.01 0.00826 0.00694 ]
[ 0.0625 0.04 1 0.0204 0.0156 0.0123 0.01 0.00826 0.00694 0.00592 ]
[ 0.04 0.0278 0.0204 1 0.0123 0.01 0.00826 0.00694 0.00592 0.0051 ]
[ 0.0278 0.0204 0.0156 0.0123 1 0.00826 0.00694 0.00592 0.0051 0.00444 ]
[ 0.0204 0.0156 0.0123 0.01 0.00826 1 0.00592 0.0051 0.00444 0.00391 ]
[ 0.0156 0.0123 0.01 0.00826 0.00694 0.00592 1 0.00444 0.00391 0.00346 ]
[ 0.0123 0.01 0.00826 0.00694 0.00592 0.0051 0.00444 1 0.00346 0.00309 ]
[ 0.01 0.00826 0.00694 0.00592 0.0051 0.00444 0.00391 0.00346 1 0.00277 ]
[ 0.00826 0.00694 0.00592 0.0051 0.00444 0.00391 0.00346 0.00309 0.00277 1 ]])
Estimated student= Student(nu = 4.47, mu = [0.00184,0.494,1.03,1.51,1.95,2.67,3.07,3.49,4.06,4.62]#10, sigma = [0.502,1.52,2.51,3.57,4.43,5.53,6.4,7.58,8.47,9.53]#10, R = 10x10
[[ 1 0.119 0.0719 0.0508 0.0326 0.0269 0.019 0.0166 -0.0122 0.0148 ]
[ 0.119 1 0.047 0.0129 0.0444 0.0173 0.0215 0.016 -0.0017 0.00538 ]
[ 0.0719 0.047 1 0.0271 0.0314 0.0108 0.0157 -0.0025 0.0092 -0.00676 ]
[ 0.0508 0.0129 0.0271 1 0.0246 0.013 0.0306 0.00919 -0.0199 -0.00445 ]
[ 0.0326 0.0444 0.0314 0.0246 1 0.0037 -0.00537 -0.00726 0.00417 6.28e-08 ]
[ 0.0269 0.0173 0.0108 0.013 0.0037 1 0.0339 0.0322 -0.000494 0.00256 ]
[ 0.019 0.0215 0.0157 0.0306 -0.00537 0.0339 1 -0.0266 0.00278 0.000571 ]
[ 0.0166 0.016 -0.0025 0.00919 -0.00726 0.0322 -0.0266 1 0.0144 0.0198 ]
[ -0.0122 -0.0017 0.0092 -0.0199 0.00417 -0.000494 0.00278 0.0144 1 0.00243 ]
[ 0.0148 0.00538 -0.00676 -0.00445 6.28e-08 0.00256 0.000571 0.0198 0.00243 1 ]])
Default student= Student(nu = 3, mu = 0, sigma = 1)
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