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I'm looking for some good terminology to describe what I'm trying to do, to make it easier to look for resources. So, say I have two clusters of points A and B, each associated to two values, X and Y, and I want to measure the "distance" between A and B - i.e. how likely is it that they were sampled from the same distribution (I can assume that ...
The Mantel test examines the correlation between two distance matrices from the same samples. The distance matrices can be based on actual data (species abundances, environmental measurements, spatial coordinates) or hypothesized data (e.g., dummy variables coding for treatments).
the increasing distance between latent positions decreases the likelihood of an edge between two nodes. We further demonstrate the link functions of two graphs do not need to be the same in order to perform a two-sample hypothesis test. Previous studies have assumed the link functions between two graphs are equivalent.
We develop a projected Wasserstein distance for the two-sample test, a fundamental problem in statistics and machine learning: given two sets of samples, to determine whether they are from the same distribution.
28 sty 2020 · Knowledge Base. Statistics. Choosing the Right Statistical Test | Types & Examples. Published on January 28, 2020 by Rebecca Bevans . Revised on June 22, 2023. Statistical tests are used in hypothesis testing. They can be used to: determine whether a predictor variable has a statistically significant relationship with an outcome variable.
Two-sample hypothesis testing for random graphs arises naturally in neuroscience, social networks, and machine learning. In this paper, we consider a semiparametric problem of two-sample hypothesis testing for a class of latent position random graphs.
Context 1. ... uncertainty is then used to find the metric uncertainty of the distance between the same two randomly chosen points. The results from the test can be seen in Figure 8. The...
