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Studies in astronomical time series analysis. V. Bayesian blocks, a new method to analyze structure in photon counting data, Astrophys
- J
, 1998
"... Subject headings: numerical methods – data analysis — models – X-ray astronomy — γ-ray astronomy Received; accepted Astrophysical Journal2 I describe a new time-domain algorithm for detecting localized structures (bursts), revealing pulse shapes, and generally characterizing intensity variations. Th ..."
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Cited by 34 (9 self)
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Subject headings: numerical methods – data analysis — models – X-ray astronomy — γ-ray astronomy Received; accepted Astrophysical Journal2 I describe a new time-domain algorithm for detecting localized structures (bursts), revealing pulse shapes, and generally characterizing intensity variations. The input is raw counting data, in any of three forms: time-tagged photon events (TTE), binned counts, or time-to-spill (TTS) data. The output is the most likely segmentation of the observation into time intervals during which the photon arrival rate is perceptibly constant – i.e. has a fixed intensity without statistically significant variations. Since the analysis is based on Bayesian statistics, I call the resulting structures Bayesian Blocks. Unlike most, this method does not stipulate time bins – instead the data themselves
BY
, 2010
"... To my grandparents and my parents The climate and earth sciences have recently undergone a rapid transformation from a data-poor to a data-rich environment. In particular, climate and ecosystem related observations from remote sensors on satellites, as well as outputs of climate or earth system mode ..."
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To my grandparents and my parents The climate and earth sciences have recently undergone a rapid transformation from a data-poor to a data-rich environment. In particular, climate and ecosystem related observations from remote sensors on satellites, as well as outputs of climate or earth system models from large-scale computational platforms, provide terabytes of temporal, spatial and spatio-temporal data. These massive and information-rich datasets offer huge potential for advancing the science of land cover change, climate change and anthropogenic impacts. One important area where remote sensing data can play a key role is in the study of land cover change. Specifically, the conversion of natural land cover into humandominated cover types continues to be a change of global proportions with many unknown environmental consequences. In addition, being able to assess the carbon risk of changes in forest cover is of critical importance for both economic and scientific reasons. In fact, changes in forests account for as much as 20 % of the greenhouse gas emissions
Automated Detection of Epidemics from the
- In: Proceedings of the 7th European Conference on Principles and Practice of Knowledge Discovery in Databases (PKDD’03
, 2003
"... Epidemics of infectious diseases are usually recognized by an observation of an abnormal cluster of cases. Usually, the recognition is not automated, and relies on the alertness of human health care workers. ..."
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Epidemics of infectious diseases are usually recognized by an observation of an abnormal cluster of cases. Usually, the recognition is not automated, and relies on the alertness of human health care workers.
Dose Formation and Medical Aspects Congenital Malformation and Stillbirth in Germany and Europe Before and After the Chernobyl Nuclear Power Plant Accident
"... atmospheric conditions at the time, the extent of contami-nation in Europe was quite variable. Even in relatively small regions, for example Bavaria, 137Cs measurements within a regular measurement program ranged from the detection limit to 120.7 kB/m2 [5]. It is evident that the most extreme local ..."
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atmospheric conditions at the time, the extent of contami-nation in Europe was quite variable. Even in relatively small regions, for example Bavaria, 137Cs measurements within a regular measurement program ranged from the detection limit to 120.7 kB/m2 [5]. It is evident that the most extreme local fallout in Bavaria has not been recorded. Ukraine, Bela-rus, and parts of Russia and Scandinavia were highly con-taminated by radioactive fallout, with markedly less contami-
