Cargando…
Circular analysis in complex stochastic systems
Ruling out observations can lead to wrong models. This danger occurs unwillingly when one selects observations, experiments, simulations or time-series based on their outcome. In stochastic processes, conditioning on the future outcome biases all local transition probabilities and makes them consist...
Autor principal: | Valleriani, Angelo |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group
2015
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4675072/ https://www.ncbi.nlm.nih.gov/pubmed/26656656 http://dx.doi.org/10.1038/srep17986 |
Ejemplares similares
-
Stochastic
Kinetics on Networks: When Slow Is Fast
por: Li, Xin, et al.
Publicado: (2014) -
Complex Degradation Processes Lead to Non-Exponential Decay Patterns and Age-Dependent Decay Rates of Messenger RNA
por: Deneke, Carlus, et al.
Publicado: (2013) -
Stochastic equations for complex systems
por: Skorohod, Anatolij Vladimirovich
Publicado: (1988) -
A conditional likelihood is required to estimate the selection coefficient in ancient DNA
por: Valleriani, Angelo
Publicado: (2016) -
Measuring risk in complex stochastic systems
por: Franke, Jürgen, et al.
Publicado: (2000)