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El detective Salazar y los modelos bayesianos

Authors: Torres Manzanera, Emilio;

El detective Salazar y los modelos bayesianos

Abstract

El detective Salazar se encontraba en su casa cuando recibió la noticia de que habían admitido a su sobrino en el grado de Ciencia e Ingeniería de Datos. Emocionado, Salazar propuso al sobrino una apuesta sobre si aprobaría o no la asignatura de Modelos Bayesianos. Así comienza este manual universitario sobre Estadística Bayesiana que a través de los casos del detective Salazar introduce los conceptos de probabilidad, de distribuciones conjugadas, los métodos de Montecarlo basados en cadenas de Markov, la regresión bayesiana o las redes bayesianas. Cada enigma propuesto plantea preguntas, situaciones y nuevas evidencias que modificarán la creencia inicial del investigador y donde el diligente lector podrá elucubrar por sí mismo si la resolución del caso fue satisfactoria o no.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Green
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Spanish Research Portal