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Carles Breto
Carles Breto
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Title
Cited by
Cited by
Year
Inference for nonlinear dynamical systems
EL Ionides, C Bretó, AA King
Proceedings of the National Academy of Sciences 103 (49), 18438-18443, 2006
5982006
Time series analysis via mechanistic models
C Bretó, D He, EL Ionides, AA King
The Annals of Applied Statistics, 319-348, 2009
2742009
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
134*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
532017
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
492011
Modeling and inference for infectious disease dynamics: a likelihood-based approach
C Bretó
Statistical Science 33 (1), 57-69, 2018
332018
On idiosyncratic stochasticity of financial leverage effects
C Bretó
Statistics & Probability Letters 91, 20-26, 2014
262014
Panel data analysis via mechanistic models
C Bretó, EL Ionides, AA King
Journal of the American Statistical Association, 1-35, 2019
252019
Modeling disease dynamics: Cholera as a case study
EL Ionides, C Bretó, AA King
Statistical Advances in the Biomedical Sciences: Clinical Trials …, 2007
102007
An entropy-based machine learning algorithm for combining macroeconomic forecasts
C Bretó, P Espinosa, P Hernández, JM Pavía
Entropy 21 (10), 1015, 2019
62019
On the infinitesimal dispersion of multivariate Markov counting systems
C Bretó
Statistics & Probability Letters 82 (4), 720-725, 2012
42012
Time changes that result in multiple points in continuous-time Markov counting processes
C Bretó
Statistics & Probability Letters 82 (12), 2229-2234, 2012
32012
Trajectory composition of Poisson time changes and Markov counting systems
C Bretó
Statistics & Probability Letters 88, 91-98, 2014
22014
Forecasting volatility: does continuous time do better than discrete time?
C Bretó, H Veiga
12011
Co-jumps and Markov counting systems in random environments
C Bretó
Contemporary Approaches and Methods in Fundamental Mathematics and Mechanics …, 2021
2021
Statistical Inference for Nonlinear Dynamical Systems.
C Bretó
2007
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