U. Laa

activity

20162022

most citedCasting Multiple Shadows: High-Dimensional Interactive Data Visualisation with Tours and Embeddings

4 citations · 5 across the 5 of their papers we have counts for

collaborators

Showing 2019Show all

3 papers · 1 filter

stat.CO2019

A slice tour for finding hollowness in high-dimensional data

Ursula Laa, Dianne Cook, German Valencia

Taking projections of high-dimensional data is a common analytical and visualisation technique in statistics for working with high-dimensional problems. Sectioning, or slicing, thr…

hep-ph2019

Fitting in or odd one out? Pulls vs residual responses in $b \to s ℓ^{+} ℓ^{-}$

Bernat Capdevila, Ursula Laa, German Valencia

New results in processes with an underlying quark transition $b \to s ℓ^{+} ℓ^{-}$ have been recently reported by the LHCb and Belle II collaborations. In this note we show how the…

stat.ME2019

Using tours to visually investigate properties of new projection pursuit indexes with application to problems in physics

Ursula Laa, Dianne Cook

Projection pursuit is used to find interesting low-dimensional projections of high-dimensional data by optimizing an index over all possible projections. Most indexes have been dev…

A slice tour for finding hollowness in high-dimensional data

Fitting in or odd one out? Pulls vs residual responses in b→sℓ+ℓ−

Using tours to visually investigate properties of new projection pursuit indexes with application to problems in physics

Fitting in or odd one out? Pulls vs residual responses in $b \to s ℓ^{+} ℓ^{-}$