1 citations · 1 across the 5 of their papers we have counts for
5 papers
An AI-powered Tool for Central Bank Business Liaisons: Quantitative Indicators and On-demand Insights from Firms
Nicholas Gray, Finn Lattimore, Kate McLoughlin +1
In a world of increasing policy uncertainty, central banks are relying more on soft information sources to complement traditional economic statistics and model-based forecasts. One…
Speculations on Uncertainty and Humane Algorithms
Nicholas Gray
The appreciation and utilisation of risk and uncertainty can play a key role in helping to solve some of the many ethical issues that are posed by AI. Understanding the uncertainti…
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…
Logistic Regression Through the Veil of Imprecise Data
Nicholas Gray, Scott Ferson
Logistic regression is an important statistical tool for assessing the probability of an outcome based upon some predictive variables. Standard methods can only deal with precisely…