Abstract: Poisson regression models the noisy output of a counting function as a Poisson random variable, with a log-mean parameter that is a linear function of the input vector. In this work, we ...

Reproducibility Repository accompanying the presentation Applying Adjoints Twice (repo link). Here, we exemplarily implement a inverse problem that (using adjoint approaches) can be implemented quite ...

For information on using the package, see the stable documentation. Use the in-development documentation for the version of the documentation, which contains the unreleased features. It mixes two ...

A random variable is a variable whose possible values are numerical outcomes of a random phenomenon. It is a fundamental concept in probability and statistics, used to quantify and analyze random ...

B.F. Skinner was a renowned American psychologist and behaviorist. He made great contributions to the fields of psychology and sociology and one of his most helpful theories was that of operant ...

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Ask the publishers to restore access to 500,000+ books. A line drawing of the Internet Archive headquarters building façade. An illustration of a heart shape "Donate to the archive" An illustration of ...

Abstract: A powerful equation is derived for determining the probability of safe/failure states dependent on random variables, following a homogeneous Poisson process in a finite domain. The equation ...