We study a flexible class of trade models with international production networks and arbitrary wedge-like distortions like markups, tariffs, or nominal rigidities. We characterize the general ...
Abstract: A new approach to the problem of dimensionality reduction is proposed. The specific application is to the detection of signals in noise, although it should be applicable to other signal ...
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Abstract: This letter primarily focuses on efficient angular estimation in low signal-to-noise ratio (SNR) conditions, as well as small-sample scenarios, aiming to facilitate the application of ...
How can we make sense of large-scale recordings of neural activity across learning? Theories of neural network learning with their origins in statistical physics offer a potential answer: for a given ...
Racism in healthcare can have negative consequences for both those being treated and healthcare workers, leading to higher risks of illness and, in some cases, lower standards of care for people of ...
Statistics and science have been publicly slammed by some. The issues of climate change and COVID-19, in particular, have stirred accusations of bias, conspiracies, and even hoaxes (Philipp-Muller et ...
There are many examples of statistics and science disproving our strongly held beliefs, including the once-very-common belief that the earth was at the center of the universe. In general, we can get ...