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People who share a political ideology have more similar ‘neural fingerprints’ of political words and process new information in similar ways, according to a new analysis led by Brown University resear...
We investigate conceptually, analytically, and numerically the biases in the estimation of the b-value of the Gutenberg-Richter law and of its uncertainty made through the least squares technique...
A magnetic induction model has been applied to recordings obtained in 2010 during the field campaigns for geomagnetic measurements at the 26 repeat stations of the Romanian secular variation network. ...
We suppose that the statistician observes some large number of estimates zi , each with its own unobserved expectation parameter i . The largest few of the zi 's are likely to substantially over...
Media Bias and Reputation     Media Bias  Reputation       2015/7/17
A Bayesian consumer who is uncertain about the quality of an information source will infer that the source is of higher quality when its reports conform to the consumer’s prior expectations. We use t...
We analyze the natural process of flipping a coin which is caught in the hand. We show that vigorously flipped coins tend to come up the same way they started. The limiting chance of comin...
Lyman alpha absorber correlations contain information about the underlying density distribution associated with a particular class of absorbers. As such, they provide an opportunity to independently m...
We investigate galaxy clustering and the correlations between galaxies and mass in the ΛCDM cosmological model (inflationary cold dark matter with Ωm = 0.4, ΩΛ = 0.6, h = 0.65, n = 0.95, and σ8 = 0.8)...
With a high spatial resolution imaging instrument such as the Chandra ACIS, one can confidently identify an X-ray source with only a few detected counts. The detection threshold of such sources, howev...
The present study investigates a statistical approach for the downscaling of climate simulations focusing on those meteorological parameters most commonly required as input for climate change impact m...
Abstract— This paper presents a relevance vector regression (RVR) based parametric approach to the bias field estimation in brain magnetic resonance (MR) image segmentation. Segmentation is a very imp...
We study the role of hierarchical structures in a simple model of collective consensus formation based on the bounded confidence model with continuous individual opinions. For the particular variation...
Effects of substrate bias on the magnetic properies and microsture of both rf-magnetron and dc-magnetron sputtered magneto-optical recording thin films of TbCo were investigated.It is shown that as an...
We examine sources of scatter in scaling relations between galaxy cluster mass and thermal Sunyaev-Zeldovich (SZ) effect using cluster samples extracted from cosmological hydrodynamical simulations. O...

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