| Gradient free parameter estimation for hidden Markov models with intractable likelihoods E Ehrlich, A Jasra, N Kantas Methodology and Computing in Applied Probability 17 (2), 315-349, 2015 | 23 | 2015 |
| Approximate inference for observation-driven time series models with intractable likelihoods A Jasra, N Kantas, E Ehrlich ACM Transactions on Modeling and Computer Simulation (TOMACS) 24 (3), 1-25, 2014 | 11 | 2014 |
| Spliced binned-pareto distribution for robust modeling of heavy-tailed time series E Ehrlich, L Callot, FX Aubet arXiv preprint arXiv:2106.10952, 2021 | 7 | 2021 |
| Static Parameter Estimation for ABC Approximations of Hidden Markov Models. Pre-print E Ehrlich, A Jasra, N Kantas arXiv preprint arXiv:1210.4683, 2012 | 5 | 2012 |
| The science behind nfl next gen stats’ new passing metric FX Aubet, E Ehrlich Aug, 2022 | 2 | 2022 |
| On inference for ABC approximations of time series models E Ehrlich Imperial College London, 2013 | 1 | 2013 |
| Spliced Binned-Pareto distribution for robust modeling of heavy-tailed time series E Ehrlich, L Callot, FX Aubet | | 2021 |
Nikolas KantasDept. of Mathematics, Imperial College LondonVerified email at imperial.ac.uk
