This is an artcle of my recent acquaintance. It is about various integrals
involving the standard normal distribution \(\Phi(x)\) and its derivative.
Besides it is a handy reference, it is interesting to see how the author
organize the hundreds of integrals in a manner that is easy to lookup.
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A rough description of Radon-Nikodym derivative
Radon-Nikodym theorem suggests, in simplified terms, that if we have two
measures \(\mu,\lambda\) of the same space with \(\mu\) absolutely continuous
with respect to \(\lambda\) and a function \(\phi\) is \(\mu\)-integrable,
then
\(\int_A \phi d\mu = \int_A \phi \frac{d\mu}{d\lambda} d\lambda\)
which the term \(d\mu/d\lambda\) is called the Radon-Nikodym derivative.
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Martingale and local martingale
Martingale is a stochastic process with the martingale property. If we have \(X_t\) as the stochastic process, the martingale property says that \(\mathbf{E}[X_t\mid\mathcal{F}_s] = X_s\), for \(s\lt t\). Closely related to this is the local martingale. However, the Wikipedia page does not have it clearly explained. Here is my narrative....
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Useful Google Colab snippets
Google Colab is a Jupyter notebook serving on a Ubuntu machine with some
customization. Following are some useful snippets:
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Akra & Bazzi (1998) On the solution of linear recurrence equations
This is a paper that extends the Master Theorem 1 for more general use. To recap, the Master Theorem is about the complexity of a recurrence algorithm. It assumed the recurrence relation has the form Jon L. Bentley, Dorothea Haken, and James B. Saxe. A general method for solving divide-and-conquer...
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