| Observation of gravitational waves from a binary black hole merger BP Abbott, R Abbott, TD Abbott, MR Abernathy, F Acernese, K Ackley, ... Physical review letters 116 (6), 061102, 2016 | 15396 | 2016 |
| GW170817: observation of gravitational waves from a binary neutron star inspiral BP Abbott, R Abbott, TD Abbott, F Acernese, K Ackley, C Adams, T Adams, ... Physical review letters 119 (16), 161101, 2017 | 9064 | 2017 |
| Bayesian nonparametric spectral density estimation using B-spline priors MC Edwards, R Meyer, N Christensen Statistics and Computing 29, 67-78, 2019 | 42 | 2019 |
| Bayesian semiparametric power spectral density estimation with applications in gravitational wave data analysis MC Edwards, R Meyer, N Christensen Physical Review D 92 (6), 064011, 2015 | 35 | 2015 |
| Beyond Whittle: Nonparametric correction of a parametric likelihood with a focus on Bayesian time series analysis C Kirch, MC Edwards, A Meier, R Meyer Bayesian Analysis 14 (4), 1037-1073, 2019 | 29 | 2019 |
| Identifying and addressing nonstationary LISA noise MC Edwards, P Maturana-Russel, R Meyer, J Gair, N Korsakova, ... Physical Review D 102 (8), 084062, 2020 | 28 | 2020 |
| Bayesian parameter estimation of core collapse supernovae using gravitational wave simulations MC Edwards, R Meyer, N Christensen Inverse Problems 30 (11), 114008, 2014 | 27 | 2014 |
| Constraining the spin parameter of near-extremal black holes using LISA O Burke, JR Gair, J Simón, MC Edwards Physical Review D 102 (12), 124054, 2020 | 19 | 2020 |
| Classifying the equation of state from rotating core collapse gravitational waves with deep learning MC Edwards Physical Review D 103 (2), 024025, 2021 | 17 | 2021 |
| Computational techniques for parameter estimation of gravitational wave signals R Meyer, MC Edwards, P Maturana‐Russel, N Christensen Wiley Interdisciplinary Reviews: Computational Statistics 14 (1), e1532, 2022 | 5 | 2022 |
| Bayesian modelling of stellar core collapse gravitational wave signals and detector noise M Edwards PhD Thesis-University of Auckland, 2017 | 1 | 2017 |
| Calibrating approximate Bayesian credible intervals of gravitational-wave parameters R Mao, JE Lee, O Burke, AJK Chua, MC Edwards, R Meyer Physical Review D 109 (8), 083002, 2024 | | 2024 |
| Package ‘bsplinePsd’ MC Edwards, R Meyer, N Christensen, MMC Edwards, I Rcpp | | 2018 |
| Signal extraction and power spectral density estimation: A Bayesian semi-parametric approach M Edwards, R Meyer, NL Christensen 30th International Workshop on Statistical Modelling, 2015 | | 2015 |
Renate MeyerProfessor of Statistics, University of AucklandVerified email at stat.auckland.ac.nz
