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You are here		statisticaloddsandends.wordpress.com What is Conditional Value at Risk (CVaR)? \| Statistical Odds & Ends
\|	\|	gregorygundersen.com Expectation of the Truncated Lognormal Distribution	2.1 parsecs away Travel
\|	\|	[AI summary] The blog post derives the expected value of a left-truncated lognormal distribution, explaining the mathematical derivation and validating it with Monte Carlo simulations.	2.1 parsecs away Travel
\|	\|	mkatkov.wordpress.com On the density estimation \| Crackpot Trisector Notes	4.1 parsecs away Travel
\|	\|	For probability space $latex (\Omega, \mathcal{F}, \mathbb{P})$ with $latex A \in \mathcal{F}$ the indicator random variable $latex {\bf 1}_A : \Omega \rightarrow \mathbb{R} = \left\{ \begin{array}{cc} 1, & \omega \in A \\ 0, & \omega \notin A \end{array} \right.$ Than expected value of the indicator variable is the probability of the event $latex \omega \in...	4.1 parsecs away Travel
\|	\|	jaberkow.wordpress.com Some Observations on Relaxed Bernoulli Variables. - Mean Fields and Friendly Skies	3.8 parsecs away Travel
\|	\|	Lately I have been making use of a continuous relaxation of discrete random variables proposed in two recent papers: The Concrete Distribution: A Continuous Relaxation of Discrete Random Variables and Categorical Reparameterization with Gumbel-Softmax. I decided to write a blog post with some motivation of the method, as well as providing some minor clarification on...	3.8 parsecs away Travel
\|	\|	bluebirdofbitterness.com Fowl play \| wordrefiner	8.1 parsecs away Travel
\|		Reblogged on WordPress.com	8.1 parsecs away Travel