What are the limitations of using multiple t-tests for post-hoc analysis?

Student's t-distribution is defined as the distribution of the random variable t which is - very loosely - the "best" that we can do not knowing the true ... Upper critical values of Student's t distribution with degrees of freedom. Probability of exceeding the critical value. 0.10 0.05 0.025 0.01 0.005 0.001. 1 ... The decoder infers the posterior distribution of observation given a latent variable. The encoder and de- coder neural networks are optimized by minimizing the ... Oct 12, 2023 ... We address the problem of computing a consistency factor for the MCD estimator in a heavy-tail scenario, when uncontaminated data come from a multivariate ... Sep 21, 2024 ... I am looking for the multi-variate t distribution, which is commonly used for Ba...yesian linear regression. (2) Student's t-distribution is less peaked than a normal distribution, at the same time, t-distribution has “fatter tails”. In this way, it seems like that ... The Student's T Distribution. The Student's T distribution is one of the biggest breakthroughs in statistics, as it allowed inference through small samples with ... Sep 30, 2022 ... Figure 1: Appearance variations of a gold object, according to various roughness parameters of Student's t-Distribution (STD) of slopes. The t-distribution is a hypothetical probability distribution. It is also known as the student's t-distribution and used to make presumptions about a mean when ... Jun 29, 2023 ... Hello, I have a hierarchical regression models that seems to follow a student T distribution but I can't seem to get a high enough “spike” ...