Abstract: We build an advanced offer curve in the day-ahead electricity market for wind power producers based on the multivariate (bivariate or two-dimensional) distribution of the real-time (RT) ...

In this paper, we introduce a Bayesian analysis for a bivariate generalized exponential distribution in the presence of censored data and covariates derived from Copula functions. The generalized ...

The purpose of this paper is to propose a new model of asymmetry for square contingency tables with ordered categories. The new model may be appropriate for a square contingency table if it is ...

In recent years, a number of literatures published large-scale genome-wide association studies (GWASs) for human diseases or traits while adjusting for other heritable covariate. However, it is known ...

In this note it is shown that P(η - ξ > 0) can easily be calculated using tables of the bivariate normal distribution, where ξ, η are independent, ξ has a normal distribution, and η has a truncated ...

We use the libraries: Numpy, Scipy, Sympy, Math, statsmodels.api, and Python 3.5 with Anaconda. To down statsmodels, you should visit: http://statsmodels.sourceforge ...

ABSTRACT: This paper proposes a universal framework for constructing bivariate stochastic processes, going beyond the limitations of copulas and offering a potentially simpler alternative. The ...

This R package provides functions for the chi-bar-squared distribution, the bivariate chi-bar-squared distribution, and the conic intrinsic volumes. It supports standard functions for the ...