Geoffrey McLachlan - Semi-supervised learning of a classifier from a statistical perspective

Digital Twins and their Applications Across Engineering, Science & Medicine by Karen E. Willcox

From Prime Numbers to Random Networks: Two perspectives on researching Pure Maths (UNSW Sydney)

Trevor McDougall presents "What's the Ocean got to do with Climate Change?" at UNSW on 29/06/23.

Backfitting for large scale crossed random effects regressions

Jiancang Zhuang - Estimation, diagnostics, and extensions of nonparametric Hawkes processes

Trevor McDougall receives the 2022 Prime Minister’s Prize for Science

Martine Barons - Safeguarding National Digital Memory: Bayesian Network modelling

Dr Holloway-Brown-Stochastic spatial random forest for detecting remotely sensed forest cover change

A/Prof Hamideh Anjomshoa at Girls do the Maths 2022 at UNSW Sydney

Jana de Wiljes - Challenges in high dimensional nonlinear filtering

Willem van den Boom - Bayesian Learning of Graph Substructures

Sebastian Ertel - An Ensemble Kalman-Bucy filter for correlated observation noise

Conrad Wasko - Changes in rainfall and flooding across Australia

Matt Moores - The Annealed Leap-Point MCMC Sampler (ALPS) for multi-modal posterior distributions

Joshua Bon - Twisted: Improving particle filters by learning modified paths

Rohitash Chandra - BERT-based language models for US Elections, COVID-19, and analysis

Nicholas Tierney - Recognising research software in academia

Howard Bondell - Bayesian inference using estimating equations via empirical likelihood

Dr John Steele talks about our programs and courses at Girls Do the Maths 2021 at UNSW Sydney.

Dr Anita Liebenau delivers a presentation at Girls Do the Maths 2021 at UNSW Sydney.

Geoffrey McLachlan - Semi-supervised learning of a classifier from a statistical perspective

Highlights from the annual Girls Do the Maths workshop at UNSW Sydney

Bachelor of Data Science & Decisions at UNSW

Catherine Calder - Spatial Confounding and Restricted Spatial Regression Methods