If T has a LL distribution with scale parameter α and shape parameter β, LL (α, β) say, then W = log ⁡ (T) has a logistic distribution with location parameter log ⁡ (α) and scale parameter 1 / β.It ...

GlobalData tracks drug-specific phase transition and likelihood of approval scores, in addition to indication benchmarks based off 18 years of historical drug development data. Attributes of the drug, ...

In this paper, we introduce tLasso, a novel adaptive model for robust precision matrix estimation based on an $\ell_{1}$-penalized t-distribution log-likelihood function. We assume the degree of ...

The Nelder-Mead method resulted in 51 iterations, whereas the BFGS method resulted in 10 iterations. The “Nelder-Mead” method is simple optimization algorithm that does not require the calculation of ...

For here we want to compute P(Y|Z, X) which is a Bivariate Gaussian Distribution, but the loss function does not look like a negative log likelihood of Gaussian to me. First, the variable ohr is very ...

The distribution is shorter and wider than the typical distribution and enables more outlying measurements. The distribution moves towards a classic normal curve as the number of measurements ...

The t-distribution with small number of degrees of freedom captures skewness and fat-tailed property of return series. Therefore, a data coherent assumption of t-distribution of innovation is ...