| Accelerating Metropolis-Hastings algorithms by delayed acceptance M Banterle, C Grazian, A Lee, CP Robert arXiv preprint arXiv:1503.00996, 2015 | 32 | 2015 |
| Validating a 14-drug microtiter plate containing bedaquiline and delamanid for large-scale research susceptibility testing of Mycobacterium tuberculosis PMV Rancoita, F Cugnata, ALG Cruz, E Borroni, SJ Hoosdally, TM Walker, ... Antimicrobial agents and chemotherapy 62 (9), 2018 | 19 | 2018 |
| Application of machine learning techniques to tuberculosis drug resistance analysis DACCC Samaneh Kouchaki, Yang Yang, T Walker, A Sarah Walker, Daniel J Wilson ... Bioinformatics 35 (13), 2276-2282, 2019 | 12 | 2019 |
| Approximating the likelihood in abc CC Drovandi, C Grazian, K Mengersen, C Robert Handbook of Approximate Bayesian Computation, 321-368, 2018 | 12 | 2018 |
| Jeffreys’ priors for mixture estimation C Grazian, CP Robert Bayesian statistics from methods to models and applications, 37-48, 2015 | 12 | 2015 |
| Accelerating Metropolis-Hastings algorithms: Delayed acceptance with prefetching M Banterle, C Grazian, CP Robert arXiv preprint arXiv:1406.2660, 2014 | 11 | 2014 |
| Approximate Bayesian inference in semiparametric copula models C Grazian, B Liseo Bayesian Analysis 12 (4), 991-1016, 2017 | 10 | 2017 |
| Jeffreys priors for mixture estimation: Properties and alternatives C Grazian, CP Robert Computational Statistics & Data Analysis 121, 149-163, 2018 | 9 | 2018 |
| Approximate integrated likelihood via ABC methods C Grazian, B Liseo Statistics and its interface 8 (2), 161-171, 2015 | 9 | 2015 |
| Approximate Bayesian computation for copula estimation C Grazian, B Liseo Statistica 75 (1), 111-127, 2015 | 6 | 2015 |
| DeepAMR for predicting co-occurrent resistance of Mycobacterium tuberculosis DAC Yang Yang, Timothy M Walker, A Sarah Walker, Daniel J Wilson, Timothy E ... Bioinformatics, 1-10, 2019 | 5* | 2019 |
| Accelerating Metropolis-Hastings algorithms by delayed acceptance M Banterle, C Grazian, A Lee, CP Robert Foundations of Data Science 1 (2), 103, 2019 | 5 | 2019 |
| Automated detection of bacterial growth on 96-well plates for high-throughput drug susceptibility testing of Mycobacterium tuberculosis PW Fowler, ALG Cruz, SJ Hoosdally, L Jarrett, E Borroni, ... Microbiology 165 (5), 585-585, 2018 | 3 | 2018 |
| Bayesian analysis SC Wang Interdisciplinary Computing in Java Programming, 195-210, 2003 | 3 | 2003 |
| On a loss-based prior for the number of components in mixture models C Grazian, C Villa, B Liseo Statistics & Probability Letters 158, 108656, 2020 | 2 | 2020 |
| GenomegaMap: within-species genome-wide d_N/d_S estimation from over 10,000 genomes Molecular Biology and Evolution, 2020 | 2 | 2020 |
| GenomegaMap: within-species genome-wide d_N/d_S estimation from over 10,000 genomes Molecular Biology and Evolution, 2020 | 2* | 2020 |
| Deep Fundamental Factor Models MF Dixon, NG Polson arXiv preprint arXiv:1903.07677, 2019 | 2 | 2019 |
| A review of approximate Bayesian computation methods via density estimation: Inference for simulator‐models C Grazian, Y Fan Wiley Interdisciplinary Reviews: Computational Statistics 12 (4), e1486, 2020 | 1 | 2020 |
| Classification-assisted Query Processing for Network Telemetry G Tangari, M Charalambides, G Pavlou, C Grazian, D Tuncer Proceedings of Network Traffic Measurement and Analysis Conference (TMA), 2020 | 1 | 2020 |
