Jordan Richards

According to our database, Jordan Richards authored at least 7 papers between 2022 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

Canonical Tail Dependence for Soft Extremal Clustering of Multichannel Brain Signals.

Mara S. Talento, Jordan Richards, Raphaël Huser, Hernando Ombao

CoRR, December, 2025

Flexible Modeling of Nonstationary Extremal Dependence using Spatially Fused LASSO and Ridge Penalties.

Xuanjie Shao, Arnab Hazra, Jordan Richards, Raphaël Huser

Technometrics, January, 2025

Neural Bayes Estimators for Irregular Spatial Data Using Graph Neural Networks.

Matthew Sainsbury-Dale, Andrew Zammit-Mangion, Jordan Richards, Raphaël Huser

J. Comput. Graph. Stat., 2025

2024

Neural Bayes estimators for censored inference with peaks-over-threshold models.

Jordan Richards, Matthew Sainsbury-Dale, Andrew Zammit-Mangion, Raphaël Huser

J. Mach. Learn. Res., 2024

Deep learning joint extremes of metocean variables using the SPAR model.

Ed Mackay, Callum Murphy-Barltrop, Jordan Richards, Philip Jonathan

CoRR, 2024

2022

On the tail behaviour of aggregated random variables.

Jordan Richards, Jonathan A. Tawn

J. Multivar. Anal., 2022

A unifying partially-interpretable framework for neural network-based extreme quantile regression.

Jordan Richards, Raphaël Huser

CoRR, 2022