Searched refs:mu_hat (Results 1 – 10 of 10) sorted by relevance
/dports/math/gsl/gsl-2.7/randist/ |
H A D | mvgauss.c | 173 gsl_ran_multivariate_gaussian_mean (const gsl_matrix * X, gsl_vector * mu_hat) in gsl_ran_multivariate_gaussian_mean() argument 178 if (N != mu_hat->size) in gsl_ran_multivariate_gaussian_mean() 190 gsl_vector_set(mu_hat, j, mean); in gsl_ran_multivariate_gaussian_mean()
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H A D | gsl_randist.h | 109 int gsl_ran_multivariate_gaussian_mean (const gsl_matrix * X, gsl_vector * mu_hat);
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H A D | test.c | 1801 gsl_vector * mu_hat = gsl_vector_calloc(d); in test_multivariate_gaussian() local 1824 gsl_ran_multivariate_gaussian_mean (samples, mu_hat); in test_multivariate_gaussian() 1829 gsl_vector_memcpy(mu_hat_ctr, mu_hat); in test_multivariate_gaussian() 1856 gsl_vector_free(mu_hat); in test_multivariate_gaussian()
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/dports/science/py-GPy/GPy-1.10.0/GPy/likelihoods/ |
H A D | bernoulli.py | 78 mu_hat = v_i/tau_i + sign*phi_div_Phi/np.sqrt(tau_i**2 + tau_i) 85 mu_hat = v_i/tau_i + sign*phi_div_Phi/np.sqrt(tau_i) 92 return np.exp(log_Z_hat), mu_hat, sigma2_hat
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H A D | gaussian.py | 97 mu_hat = sigma2_hat*(data_i/self.variance + v_i) 100 return Z_hat, mu_hat, sigma2_hat
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/dports/science/py-GPy/GPy-1.10.0/GPy/inference/latent_function_inference/ |
H A D | expectation_propagation.py | 19 self.mu_hat = np.empty(num_data,dtype=np.float64) 55 …delta_v = delta/eta*(marg_moments.mu_hat[i]/marg_moments.sigma2_hat[i] - post_params.mu[i]/post_pa… 352 …marg_moments.Z_hat[i], marg_moments.mu_hat[i], marg_moments.sigma2_hat[i] = likelihood.moments_mat… 578 …marg_moments.Z_hat[i], marg_moments.mu_hat[i], marg_moments.sigma2_hat[i] = likelihood.moments_mat…
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/dports/science/dakota/dakota-6.13.0-release-public.src-UI/src/ |
H A D | NonDMultilevelSampling.cpp | 280 RealVectorArray mu_hat(num_steps); in multilevel_mc_Ysum() local 317 accumulate_ml_Ysums(sum_Y, sum_YY, lev, mu_hat[step], N_l[step]); in multilevel_mc_Ysum() 606 RealVectorArray mu_hat(num_steps); in multilevel_mc_Qsum() local 661 mu_hat[step], N_l[step]); in multilevel_mc_Qsum() 1068 RealVector mu_hat; in control_variate_mc() local 1080 sum_HH, mu_hat, N_lf, N_hf); in control_variate_mc() 1108 sum_HH, mu_hat, N_lf, N_hf); in control_variate_mc() 1127 accumulate_cv_sums(sum_L_refined, mu_hat, N_lf); in control_variate_mc()
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/dports/science/py-GPy/GPy-1.10.0/GPy/testing/ |
H A D | model_tests.py | 70 mu_hat = k.K(self.X_new, self.X).dot(Kinv).dot(m.Y_normalized) 76 np.testing.assert_almost_equal(mu_hat, mu) 82 np.testing.assert_almost_equal(mu_hat, mu)
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/dports/math/gsl/gsl-2.7/doc/ |
H A D | randist.rst | 302 .. function:: int gsl_ran_multivariate_gaussian_mean (const gsl_matrix * X, gsl_vector * mu_hat) 310 likelihood estimate of the mean is stored in :data:`mu_hat` on output.
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H A D | gsl-ref.info | 18575 *X, gsl_vector *mu_hat) 18585 in *note mu_hat: 711. on output.
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