| Inference for nonlinear dynamical systems EL Ionides, C Bretó, AA King Proceedings of the National Academy of Sciences 103 (49), 18438-18443, 2006 | 623 | 2006 |
| Time series analysis via mechanistic models C Bretó, D He, EL Ionides, AA King The Annals of Applied Statistics, 319-348, 2009 | 292 | 2009 |
| pomp: Statistical inference for partially observed Markov processes AA King, EL Ionides, CM Bretó, SP Ellner, MJ Ferrari, BE Kendall, ... R package, version 1 (1.1), 2015 | 132* | 2015 |
| Monte Carlo profile confidence intervals for dynamic systems EL Ionides, C Breto, J Park, RA Smith, AA King Journal of The Royal Society Interface 14 (132), 20170126, 2017 | 62 | 2017 |
| Compound Markov counting processes and their applications to modeling infinitesimally over-dispersed systems C Bretó, EL Ionides Stochastic Processes and their Applications 121 (11), 2571-2591, 2011 | 51 | 2011 |
| Panel data analysis via mechanistic models C Bretó, EL Ionides, AA King Journal of the American Statistical Association, 1-35, 2019 | 38 | 2019 |
| Modeling and inference for infectious disease dynamics: a likelihood-based approach C Bretó Statistical Science 33 (1), 57-69, 2018 | 37 | 2018 |
| On idiosyncratic stochasticity of financial leverage effects C Bretó Statistics & Probability Letters 91, 20-26, 2014 | 29 | 2014 |
| Modeling disease dynamics: Cholera as a case study EL Ionides, C Bretó, AA King Statistical Advances in the Biomedical Sciences: Clinical Trials …, 2007 | 11 | 2007 |
| An entropy-based machine learning algorithm for combining macroeconomic forecasts C Bretó, P Espinosa, P Hernández, JM Pavía Entropy 21 (10), 1015, 2019 | 8 | 2019 |
| On the infinitesimal dispersion of multivariate Markov counting systems C Bretó Statistics & Probability Letters 82 (4), 720-725, 2012 | 4 | 2012 |
| Time changes that result in multiple points in continuous-time Markov counting processes C Bretó Statistics & Probability Letters 82 (12), 2229-2234, 2012 | 3 | 2012 |
| Trajectory composition of Poisson time changes and Markov counting systems C Bretó Statistics & Probability Letters 88, 91-98, 2014 | 2 | 2014 |
| Co-jumps and Markov counting systems in random environments C Bretó Contemporary Approaches and Methods in Fundamental Mathematics and Mechanics …, 2021 | 1 | 2021 |
| Forecasting volatility: does continuous time do better than discrete time? C Bretó, H Veiga DES-Working Papers. Statistics and Econometrics. WS, 2011 | 1 | 2011 |
| panelPomp: Analysis of Panel Data via Partially Observed Markov Processes in R C Bretó, J Wheeler, AA King, EL Ionides arXiv preprint arXiv:2410.07934, 2024 | | 2024 |
| Statistical Inference for Nonlinear Dynamical Systems. C Bretó | | 2007 |
Edward IonidesUniversity of Michigan, Department of StatisticsVerified email at umich.edu
