Mr Jack Noonan

2023

• Noonan, J. and Zhigljavsky, A. 2023. Improving exploration strategies in large dimensions and rate of convergence of global random search algorithms. Journal of Global Optimization (10.1007/s10898-023-01308-6)
• Mitra, R. et al. 2023. Learning from data with structured missingness. Nature Machine Intelligence 5(1), pp. 13-23. (10.1038/s42256-022-00596-z)

2022

• Noonan, J. and Zhigljavsky, A. 2022. Random and quasi-random designs in group testing. Journal of Statistical Planning and Inference 221, pp. 29-54. (10.1016/j.jspi.2022.02.006)
• Zhigljavsky, A. and Noonan, J. 2022. Covering of high-dimensional sets. In: Pardalos, P. and Prokopyev, O. eds. Encyclopedia of Optimization. Springer Nature, (10.1007/978-3-030-54621-2_770-1)
• Noonan, J. and Zhigljavsky, A. 2022. Efficient quantisation and weak covering of high dimensional cubes. Discrete and Computational Geometry 68, pp. 540-565. (10.1007/s00454-022-00396-7)
• Noonan, J. and Zhigljavsky, A. 2022. Non-lattice covering and quantization of high dimensional sets. In: Pardalos, P. M., Rasskazova, V. and Vrahatis, M. N. eds. Black Box Optimization, Machine Learning, and No-Free Lunch Theorems., Vol. 170. Springer Optimization and Its Applications New York: Springer, pp. 273-318., (10.1007/978-3-030-66515-9_10)
• Noonan, J. 2022. Online change-point detection for a transient change. Statistics and Its Interface

2021

• Noonan, J. and Zhigljavsky, A. 2021. Approximations for the boundary crossing probabilities of moving sums of random variables. Methodology and Computing in Applied Probability 23, pp. 873-892. (10.1007/s11009-019-09769-7)
• Zhigljavsky, A. and Noonan, J. 2021. First passage times for Slepian process with linear and piecewise linear barriers. Extremes 24, pp. 565-589. (10.1007/s10687-021-00406-6)
• Noonan, J. and Zhigljavsky, A. 2021. Approximations for the boundary crossing probabilities of moving sums of normal random variables. Communications in Statistics - Simulation and Computation 50(11), pp. 3547-3568. (10.1080/03610918.2019.1626889)
• Noonan, J. 2021. Change-point detection for a transient change and high-dimensional covering. PhD Thesis, Cardiff University.

2020

• Noonan, J. and Zhigljavsky, A. 2020. Power of the MOSUM test for online detection of a transient change in mean. Sequential Analysis 39(2), pp. 269-293. (10.1080/07474946.2020.1767406)
• Zhigljavsky, A. and Noonan, J. 2020. Covering of high-dimensional cubes and quantization. SN Operations Research Forum 1(3), article number: 18. (10.1007/s43069-020-0015-8)

2019

• Noonan, J. and Zhigljavsky, A. 2019. Approximating Shepp's constants for the Slepian process. Statistics and Probability Letters 153, pp. 21-31. (10.1016/j.spl.2019.05.001)

2018

• Noonan, J. and Zhigljavsky, A. 2018. Approximations of the boundary crossing probabilities for the maximum of moving weighted sums. Statistical Papers 59(4), pp. 1325-1337. (10.1007/s00362-018-1015-z)