Zobrazeno 1 - 10
of 20
pro vyhledávání: '"Carles Bretó"'
Publikováno v:
Entropy, Vol 21, Iss 10, p 1015 (2019)
This paper applies a Machine Learning approach with the aim of providing a single aggregated prediction from a set of individual predictions. Departing from the well-known maximum-entropy inference methodology, a new factor capturing the distance bet
Externí odkaz:
https://doaj.org/article/17fb07ed6a8f4902a672f52b758f37dc
Autor:
Carles Bretó
Publikováno v:
Contemporary Approaches and Methods in Fundamental Mathematics and Mechanics ISBN: 9783030503017
Motivated by the analysis of multi-strain infectious disease data, we provide closed-form transition rates for continuous-time Markov chains that arise from subjecting Markov counting systems to correlated environmental noises. Noise correlation indu
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::69fc87c79010781a4a8b6f7929bf95f7
https://doi.org/10.1007/978-3-030-50302-4_12
https://doi.org/10.1007/978-3-030-50302-4_12
Autor:
Carlos Salvador, Paula Cruz-García, Guadalupe Serrano-Domingo, Bernardí Cabrer-Borrás, Victor Enrique Barrios, Rafaela Pizarro, Paz Rico, Belén García-Cárceles, Carles Bretó
Publikováno v:
ICERI Proceedings.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::74d671463ab112dd2455438f600c9214
https://doi.org/10.21125/iceri.2020.1822
https://doi.org/10.21125/iceri.2020.1822
Autor:
Carles Bretó
Publikováno v:
Statist. Sci. 33, no. 1 (2018), 57-69
Likelihood-based statistical inference has been considered in most scientific fields involving stochastic modeling. This includes infectious disease dynamics, where scientific understanding can help capture biological processes in so-called mechanist
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a038d6ab79f115b18d4ad328d0c839d3
https://projecteuclid.org/euclid.ss/1517562025
https://projecteuclid.org/euclid.ss/1517562025
Publikováno v:
Journal of the Royal Society Interface
Monte Carlo methods to evaluate and maximize the likelihood function enable the construction of confidence intervals and hypothesis tests, facilitating scientific investigation using models for which the likelihood function is intractable. When Monte
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a971f09b8fc47aa93d8db75f580abf00
https://pubmed.ncbi.nlm.nih.gov/28679663
https://pubmed.ncbi.nlm.nih.gov/28679663
Autor:
Carles Bretó
Publikováno v:
Statistics & Probability Letters. 82:2229-2234
We show that randomly changing time of simple, infinitesimally equi-dispersed, non-linear birth–death processes can result in compound, infinitesimally over-dispersed processes. We provide sufficient and necessary conditions and illustrate this wit
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::fb2418e3513f480d9b8ba538e379337e
https://doi.org/10.1016/j.spl.2012.08.006
https://doi.org/10.1016/j.spl.2012.08.006
Autor:
Carles Bretó
Publikováno v:
Statistics & Probability Letters. 82:720-725
We provide a multivariate extension of a recent result for univariate Markov counting processes: necessity and sufficiency of compoundness for infinitesimal over-dispersion. As an illustration, we show that infinitesimally over-dispersed epidemiologi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::fb1fcc8db9ff76f782227fad1f2d7143
https://doi.org/10.1016/j.spl.2011.12.019
https://doi.org/10.1016/j.spl.2011.12.019
Autor:
Carles Bretó, Edward L. Ionides
Publikováno v:
Stochastic Processes and their Applications. 121:2571-2591
We propose an infinitesimal dispersion index for Markov counting processes. We show that, under standard moment existence conditions, a process is infinitesimally (over-) equi-dispersed if, and only if, it is simple (compound), i.e. it increases in j
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5ee13985b0c269505552e868cd32e1bf
https://doi.org/10.1016/j.spa.2011.07.005
https://doi.org/10.1016/j.spa.2011.07.005
Publikováno v:
Proceedings of the National Academy of Sciences. 103:18438-18443
Nonlinear stochastic dynamical systems are widely used to model systems across the sciences and engineering. Such models are natural to formulate and can be analyzed mathematically and numerically. However, difficulties associated with inference from
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::41a34b7f39fb21be9431cf56b9ddfb19
https://doi.org/10.1073/pnas.0603181103
https://doi.org/10.1073/pnas.0603181103
Autor:
Carles Bretó
Publikováno v:
e-Archivo. Repositorio Institucional de la Universidad Carlos III de Madrid
instname
instname
Changing time of simple continuous-time Markov counting processes by independent unit-rate Poisson processes results in Markov counting processes for which we provide closed-form transition rates via composition of trajectories and with which we cons
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::62566c36f177cd20601bdbaa61aa452b
https://hdl.handle.net/10016/23485
https://hdl.handle.net/10016/23485