Gaussian Processes for Blazar Variability Studies
نویسندگان
چکیده
منابع مشابه
The Rate of Entropy for Gaussian Processes
In this paper, we show that in order to obtain the Tsallis entropy rate for stochastic processes, we can use the limit of conditional entropy, as it was done for the case of Shannon and Renyi entropy rates. Using that we can obtain Tsallis entropy rate for stationary Gaussian processes. Finally, we derive the relation between Renyi, Shannon and Tsallis entropy rates for stationary Gaussian proc...
متن کاملAGILE and blazar studies
During the first two years of observation, AGILE detected several blazars at high significance: 3C 279, 3C 454.3, PKS 1510–089, S5 0716+714, 3C 273, W Comae, Mrk 421 and PKS 0537–441. We obtained long-term coverage of 3C 454.3, for a total of more than three months at energies above 100 MeV. 3C 273 was the first blazar detected simultaneously by the AGILE gamma-ray detector and by its hard X-ra...
متن کاملAccretion Disks , Jets and Blazar Variability
Although blazar variability is probably dominated by emission from relativistic jets, accretion disks should be present in all blazars. These disks produce emission over most of the electromagnetic spectrum; various unstable processes operate in those disks which will lead to variable emission. Here I summarize some of the most relevant disk mechanisms for AGN variability. I also discuss some a...
متن کاملGaussian Processes for Prediction
We propose a powerful prediction algorithm built upon Gaussian processes (GPs). They are particularly useful for their flexibility, facilitating accurate prediction even in the absence of strong physical models. GPs further allow us to work within a complete Bayesian probabilistic framework. As such, we show how the hyperparameters of our system can be marginalised by use of Bayesian Monte Carl...
متن کاملGaussian Processes for Regression
The Bayesian analysis of neural networks is difficult because a simple prior over weights implies a complex prior distribution over functions . In this paper we investigate the use of Gaussian process priors over functions, which permit the predictive Bayesian analysis for fixed values of hyperparameters to be carried out exactly using matrix operations. Two methods, using optimization and aver...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Galaxies
سال: 2017
ISSN: 2075-4434
DOI: 10.3390/galaxies5010019