What are Kolmogorov-Smirnov and Anderson-Darling tests and how can they be adapted for the t distribution?

Dec 2, 2016 ... ... student t distribution. However, I am not sure how to do it. If I would estimate the symmetric version the corresponding code line in the ... The Student-t Distribution ... Density, distribution function, quantile function and random generation for the Student-t distribution with location mu , scale ... The Student t distribution is generally bell-shaped, but with smaller sample sizes shows increased variability (flatter). In other words, the distribution is ... The Student- t distribution is commonly used in finance and risk management, particularly to model conditional asset returns for which the tails of the normal ... The decoder infers the posterior distribution of observation given a latent variable. The encoder and de- coder neural networks are optimized by minimizing the ... Recursive outlier-robust filtering and smoothing for nonlinear systems using the multivariate student-t distribution ... Student's t-distributed measurement noise ... The Student's t-distribution has more probability in its tails than the standard normal distribution. A key feature of our model is that the conditional t–distributions of the component models are based on autoregressions that have multivariate t–distributions ... Step 1: Subtract one from your sample size. This will be your degrees of freedom. Step 2: Look up the df in the left hand side of the t-distribution table. T DISTRIBUTION. mode. + help. This mathlet shows the graph of the probability density function (pdf) for Student t-distributions with d f df df degrees of ...