4 papers
Likelihood Geometry of the Gumbel's Type-I Bivariate Exponential Distribution
Pooja Yadav, Tanuja Srivastava
In algebraic statistics, the maximum likelihood degree of a statistical model refers to the number of solutions (counted with multiplicity) of the score equations over the complex…
Maximum Likelihood Estimation in the Multivariate and Matrix Variate Symmetric Laplace Distributions through Group Actions
Pooja Yadav, Tanuja Srivastava
In this paper, we study the maximum likelihood estimation of the parameters of the multivariate and matrix variate symmetric Laplace distributions through group actions. The multiv…
Maximum Likelihood Estimation of the Parameters of Matrix Variate Symmetric Laplace Distribution
Pooja Yadav, Tanuja Srivastava
This paper considers an extension of the multivariate symmetric Laplace distribution to matrix variate case. The symmetric Laplace distribution is a scale mixture of normal distrib…
The Maximum Likelihood Degree of Farlie Gumbel Morgenstern Bivariate Exponential Distribution
Pooja Yadav, Tanuja Srivastava
The maximum likelihood degree of a statistical model refers to the number of solutions, where the derivative of the log-likelihood function is zero, over the complex field. This pa…