What is the inflated risk of Type I error when using multiple t-tests?

Jul 29, 2004 ... The paired-difference t-test is commonly used in the machine learning community to determine whether one learning algorithm is better than ... Definition. The Student t t -distribution is the distribution of the t t -statistic given by t=¯x−μs√n t = x ¯ − μ s n where ¯x x ¯ is the sample mean, ... 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 ... Mar 18, 2022 ... Implementation in R: Here is some code to implement this MLE analysis in R in a simple way, without analytic computation of the gradient or ... If Y has a Student's t distribution with ν degrees of freedom, then X = 1 2 + 1 2 Y ν + Y 2 has beta distribution with the shape parameters a = ν/2 and b = ν/2. Nov 19, 2021 ... ... student t-distribution instead of a random noise Gaussian distribution. The proposed framework was named TED-GAN, with T from the t-distribution ... Generate a multivariate Student-t t variate with degrees of freedom nu, location mu, and scale matrix Sigma; may only be used in transformed data and generated ... [[A physical bell-curve-shaped object labeled "Student's t distribution" is resting on a table. A figure is working with it and a piece of paper.]] Figure ... 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 ... The decoder infers the posterior distribution of observation given a latent variable. The encoder and de- coder neural networks are optimized by minimizing the ...