20 citations · 30 across the 7 of their papers we have counts for
8 papers
Correlation-Based And-Operations Can Be Copulas: A Proof
Enrique Miralles-Dolz, Ander Gray, Edoardo Patelli +3
In many practical situations, we know the probabilities and of two events and , and we want to estimate the joint probability . The algorithm t…
Should data ever be thrown away? Pooling interval-censored data sets with different precision
Krasymyr Tretiak, Scott Ferson
Data quality is an important consideration in many engineering applications and projects. Data collection procedures do not always involve careful utilization of the most precise i…
Correlated Boolean Operators for Uncertainty Logic
Enrique Miralles-Dolz, Ander Gray, Edoardo Patelli +1
We present a correlated \textit{and} gate which may be used to propagate uncertainty and dependence through Boolean functions, since any Boolean function may be expressed as a comb…
Neural network model for imprecise regression with interval dependent variables
Krasymyr Tretiak, Georg Schollmeyer, Scott Ferson
This paper presents a computationally feasible method to compute rigorous bounds on the interval-generalisation of regression analysis to account for epistemic uncertainty in the o…
The Creation of Puffin, the Automatic Uncertainty Compiler
Nicholas Gray, Marco De Angelis, Scott Ferson
An uncertainty compiler is a tool that automatically translates original computer source code lacking explicit uncertainty analysis into code containing appropriate uncertainty rep…
Singhing with Confidence: Visualising the Performance of Confidence Structures
Alexander Wimbush, Nicholas Gray, Scott Ferson
Confidence intervals are an established means of portraying uncertainty about an inferred parameter and can be generated through the use of confidence distributions. For a confiden…