6 research outputs found

    A note on ROC analysis and non-parametric estimate of sensitivity

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    In the signal detection paradigm, the non-parametric index of sensitivity A ′, as first introduced by Pollack and Norman (1964), is a popular alternative to the more traditional d ′ measure of sensitivity. Smith (1995) clarified a confusion about the interpretation of A ′ in relation to the area beneath proper receiver operating characteristic (ROC) curves, and provided a formula (which he called A ′′) for this commonly held interpretation. However, he made an error in his calculations. Here, we rectify this error by providing the correct formula (which we call A ) and compare the discrepancy that would have resulted. The corresponding measure for bias b is also provided. Since all such calculations apply to “proper” ROC curves with non-decreasing slopes, we also prove, as a separate result, the slope-monotonicity of ROC curves generated by likelihood-ratio criterion.Peer Reviewedhttp://deepblue.lib.umich.edu/bitstream/2027.42/45761/1/11336_2003_Article_1119.pd

    FIRST SEARCHES FOR OPTICAL COUNTERPARTS TO GRAVITATIONAL-WAVE CANDIDATE EVENTS

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    During the LIGO and Virgo joint science runs in 2009-2010, gravitational wave (GW) data from three interferometer detectors were analyzed within minutes to select GW candidate events and infer their apparent sky positions. Target coordinates were transmitted to several telescopes for follow-up observations aimed at the detection of an associated optical transient. Images were obtained for eight such GW candidates. We present the methods used to analyze the image data as well as the transient search results. No optical transient was identified with a convincing association with any of these candidates, and none of the GW triggers showed strong evidence for being astrophysical in nature. We compare the sensitivities of these observations to several model light curves from possible sources of interest, and discuss prospects for future joint GW-optical observations of this type

    Remote Sensing for Crop Management

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    The role of α-synuclein in neurodegeneration — An update

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