Scientific Research Publishing

Cannon, A. J. (2018). Multivariate Quantile Mapping Bias Correction: An N-Dimensional Probability Density Function Transform for Climate Model Simulations of Multiple Variables ...

ABSTRACT: This study evaluates the projected impacts of climate change on surface water availability in the Diaguiri River Basin, a sub-catchment of the Gambia River in West Africa, using the ...
Scientific Research Publishing

Bedford, T., & Cooke, R. M. (2001). Probability Density Decomposition for Conditionally Dependent Random Variables Modeled by Vines. Annals of Mathematics and Artificial ...

ABSTRACT: In this paper, we explore the dynamic relationship between exchange rates, natural gas, and crude oil prices using the wavelet vine copula approach. The vine copula method offers the ...
IEEE

An Analog-Digital Hardware for Parzen-Based Nonparametric Probability Density Estimation

Abstract: Probability estimation measures the likelihood of different outcomes in a statistical context. It commonly involves estimating either the parameters or the entire distribution of a random ...
EurekAlert!

Probability density functions and receiver operating characteristic curves for best-fitting equal-variance signal detection models with HiPoint C9 firearm. (IMAGE)

Credit must be given to the creator. Only noncommercial uses of the work are permitted. No derivatives or adaptations of the work are permitted.
Frontiers

Probabilistic Optimal Power Flow Calculation Method Based on Adaptive Diffusion Kernel Density Estimation

To accurately evaluate the influence of the uncertainty and correlation of photovoltaic (PV) output and load on the running state of power system, a probabilistic optimal power flow (POPF) calculation ...