Learning from data with structured missingness R Mitra, SF McGough, T Chakraborti, C Holmes, R Copping, ... Nature Machine Intelligence 5 (1), 13-23, 2023 | 36 | 2023 |
Covering of high-dimensional cubes and quantization A Zhigljavsky, J Noonan SN Operations Research Forum 1, 1-32, 2020 | 16 | 2020 |
Generic probabilistic modelling and non-homogeneity issues for the UK epidemic of COVID-19 A Zhigljavsky, R Whitaker, I Fesenko, K Kremnizer, J Noonan, P Harper, ... arXiv preprint arXiv:2004.01991, 2020 | 16 | 2020 |
Power of the MOSUM test for online detection of a transient change in mean J Noonan, A Zhigljavsky Sequential Analysis 39 (2), 269-293, 2020 | 15 | 2020 |
Non-lattice covering and quantization of high dimensional sets J Noonan, A Zhigljavsky Black Box Optimization, Machine Learning, and No-Free Lunch Theorems, 273-318, 2021 | 13 | 2021 |
Approximations for the boundary crossing probabilities of moving sums of random variables J Noonan, A Zhigljavsky Methodology and Computing in Applied Probability 23, 873-892, 2021 | 10 | 2021 |
Comparison of different exit scenarios from the lock-down for COVID-19 epidemic in the UK and assessing uncertainty of the predictions A Zhigljavsky, R Whitaker, I Fesenko, K Kremnizer, J Noonan arXiv preprint arXiv:2004.04583, 2020 | 10 | 2020 |
A prototype for decision support tool to help decision-makers with the strategy of handling the COVID-19 UK epidemic A Zhigljavsky, I Fesenko, H Wynn, R Whitaker, K Kremnizer, J Noonan, ... medRxiv, 2020.04. 24.20077818, 2020 | 9 | 2020 |
Improving exploration strategies in large dimensions and rate of convergence of global random search algorithms J Noonan, A Zhigljavsky Journal of Global Optimization 88 (1), 1-26, 2024 | 6 | 2024 |
Efficient quantisation and weak covering of high dimensional cubes J Noonan, A Zhigljavsky Discrete & Computational Geometry 68 (2), 540-565, 2022 | 6 | 2022 |
Approximating Shepp’s constants for the Slepian process J Noonan, A Zhigljavsky Statistics & Probability Letters 153, 21-31, 2019 | 6 | 2019 |
Approximations for the boundary crossing probabilities of moving sums of normal random variables J Noonan, A Zhigljavsky Communications in Statistics-Simulation and Computation 50 (11), 3547-3568, 2021 | 4 | 2021 |
Comparison of different exit scenarios from the lock-down for COVID-19 epidemic in the UK and assessing uncertainty of the predictions. arXiv. 2020 A Zhigljavsky, R Whitaker, I Fesenko, K Kremnizer, J Noonan | 2 | 2004 |
Random and quasi-random designs in group testing J Noonan, A Zhigljavsky Journal of Statistical Planning and Inference 221, 29-54, 2022 | 1 | 2022 |
Covering of high-dimensional sets A Zhigljavsky, J Noonan Encyclopedia of Optimization, 1-6, 2022 | 1 | 2022 |
First passage times for Slepian process with linear and piecewise linear barriers A Zhigljavsky, J Noonan Extremes 24 (3), 565-589, 2021 | 1 | 2021 |
Online change-point detection for a transient change J Noonan arXiv preprint arXiv:2104.02734, 2021 | 1 | 2021 |
First passage time for Slepian process with linear barrier J Noonan, A Zhigljavsky arXiv preprint arXiv:1904.07227, 2019 | 1 | 2019 |
Space Exploration: Partial Covering and Quantization J Noonan, A Zhigljavsky High-Dimensional Optimization: Set Exploration in the Non-Asymptotic Regime …, 2024 | | 2024 |
High-Dimensional Cubes, Balls and Spherically Symmetric Distributions J Noonan, A Zhigljavsky High-Dimensional Optimization: Set Exploration in the Non-Asymptotic Regime …, 2024 | | 2024 |