Professor Davy Paindaveine (Université Libre de Bruxelles) presents “Testing for principal component directions under weak identifiability", 2 October 2020.
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Танцы в детском эко-клубе "УМНИЧКА" с заслуженной артисткой России Шостак Н.В.
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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
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Catherine Calder - Spatial Confounding and Restricted Spatial Regression Methods