| Slice sampling mixture models M Kalli, JE Griffin, SG Walker Statistics and computing 21, 93-105, 2011 | 432 | 2011 |
| Time-varying sparsity in dynamic regression models M Kalli, JE Griffin Journal of Econometrics 178 (2), 779-793, 2014 | 90 | 2014 |
| Bayesian nonparametric vector autoregressive models M Kalli, JE Griffin Journal of econometrics 203 (2), 267-282, 2018 | 68 | 2018 |
| Development of risk models for the prediction of new or worsening acute kidney injury on or during hospital admission: a cohort and nested study M Kalli, JR Billings, S Coulton, CK Farmer, M Bedford, M Farr, T Wheeler, ... Health Services and Delivery Research 4 (6), 2016 | 34 | 2016 |
| Comparison of surfactant mass transfer with drop formation times from dynamic interfacial tension measurements in microchannels M Kalli, L Chagot, P Angeli Journal of Colloid and Interface Science 605, 204-213, 2022 | 24 | 2022 |
| Modeling the conditional distribution of daily stock index returns: An alternative Bayesian semiparametric model M Kalli, SG Walker, P Damien Journal of Business & Economic Statistics 31 (4), 371-383, 2013 | 23 | 2013 |
| Surfactant-laden droplet size prediction in a flow-focusing microchannel: a data-driven approach L Chagot, C Quilodrán-Casas, M Kalli, NM Kovalchuk, MJH Simmons, ... Lab on a Chip 22 (20), 3848-3859, 2022 | 18 | 2022 |
| Effect of surfactants on drop formation flow patterns in a flow-focusing microchannel M Kalli, P Angeli Chemical Engineering Science 253, 117517, 2022 | 14 | 2022 |
| Flexible modeling of dependence in volatility processes M Kalli, J Griffin Journal of Business & Economic Statistics 33 (1), 102-113, 2015 | 14 | 2015 |
| Effect of surfactants during drop formation in a microfluidic channel: A combined experimental and computational fluid dynamics approach M Kalli, P Pico, L Chagot, L Kahouadji, S Shin, J Chergui, D Juric, ... Journal of Fluid Mechanics 961, A15, 2023 | 8 | 2023 |
| Discussion of “Nonparametric Bayesian Inference in Applications”: Bayesian nonparametric methods in econometrics J Griffin, M Kalli, M Steel Statistical Methods & Applications 27, 207-218, 2018 | 4 | 2018 |
| Stock market liquidity and return predictability: A bayesian nonparametric approach M Kalli, M Ellington Review of Financial Studies, 2019 | 2 | 2019 |
| Health Services and Delivery Research M Bedford, P Stevens, S Coulton, J Billings, M Farr, T Wheeler Southampton: NIHR Journals Library, 2016 | 2 | 2016 |
| Bayesian nonparametric methods for financial and macroeconomic time series analysis M Kalli Flexible Bayesian Regression Modelling, 91-119, 2020 | 1 | 2020 |
| Bayesian nonparametric time varying vector autoregressive models M Kalli, J Griffin Journal of Business and Economic Statistics, 2019 | 1 | 2019 |
| Predictive Distributions and the Market Return: The Role of Market Illiquidity M Ellington, M Kalli Available at SSRN 4693922, 2023 | | 2023 |
| Surfactant effects on drop formation and flow characteristics in liquid-liquid microfluidic systems M Kalli UCL (University College London), 2023 | | 2023 |
| Stock Market Liquidity and Return Predictability: Investing in the long-run M Ellington, M Kalli Available at SSRN 4693968, 2022 | | 2022 |
| Effect of surfactants on drop formation in microfluidic channels M Kalli, L Chagot, L Kahouadji, O Matar, P Angeli APS Division of Fluid Dynamics Meeting Abstracts, F17. 005, 2021 | | 2021 |
| Experimental study of colloidal particles confined in a 2D microfluidic droplet L Chagot, M Kalli, P Angeli APS Division of Fluid Dynamics Meeting Abstracts, P18. 010, 2021 | | 2021 |
