This work presents an application of the EM-algorithm to two problems of estimation and testing in a multivariate normal distribution with missing data. The assumptions are that the observations are ...

Sankhyā: The Indian Journal of Statistics, Series B (1960-2002), Vol. 51, No. 3 (Dec., 1989), pp. 425-428 (4 pages) A two-stage analogue of the chi-square test for the mean of a multivariate normal ...

Fast and accurate calcluations related to multivariate normal distributions, in pure rust. (Note: Right now we only have the bivariate normal CDF.) This rust crate ports a subset of the R package ...

Abstract: This paper employs general multivariate normal distribution to develop a new efficient statistical timing analysis methodology. The paper presents the theoretical framework of the ...

Department of Computer Science and Technology, Guangzhou University, Guangzhou, China. Optimization problems are widely encountered in various fields of science and technology. When an optimization ...

The multivariate t distribution implementation is based on the code of Gregory Gunderson: https://github.com/gwgundersen/multivariate-t-distribution. While the code ...