Given a sample of n points with features, a multivariate normal…

Question Answered step-by-step Given a sample of n points with features, a multivariate normal… Given a sample of n points with  features, a multivariate normal distribution with parameters  is obtained via Maximum Likelihood. If a data point  is verified to be an anomaly and is removed from the sample, will the log-likelihood of the sample distribution increase or decrease? If the features are orthogonal/uncorrelated, will variance parameters have larger or smaller magnitudes? Computer Science Engineering & Technology Python Programming CS 422 Share QuestionEmailCopy link Comments (0)