Explore >> Select a destination

You are here

 danieltakeshi.github.io
The Expectation of the Minimum of IID Uniform Random Variables
| | www.randomservices.org
Beta-Bernoulli Process
3.7 parsecs away

Travel
| | [AI summary] The text presents a comprehensive overview of the beta-Bernoulli process and its related statistical properties. Key concepts include: 1) The Bayesian estimator of the probability parameter $ p $ based on Bernoulli trials, which is $ rac{a + Y_n}{a + b + n} $, where $ a $ and $ b $ are parameters of the beta distribution. 2) The stochastic process $ s{Z} = rac{a + Y_n}{a + b + n} $, which is a martingale and central to the theory of the beta-Bernoulli process. 3) The distribution of the trial number of the $ k $th success, $ V_k $, which follows a beta-negative binomial distribution. 4) The mean and variance of $ V_k $, derived using conditional expectations. 5) The connection between the beta distribution and the negative binomial distributi...
| | gregorygundersen.com
Expectation of the Truncated Lognormal Distribution
2.7 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.
| | jonathanweisberg.org
Laplace's Rule of Succession
4.1 parsecs away

Travel
| | Jonathan Weisberg's Homepage
| | vmx.cx
WebAssembly multi-value return in today's Rust without wasm-bindgen | vmx - the blllog.
25.6 parsecs away

Travel
| [AI summary] The author discusses creating a WASM binary with multi-value returns using Rust, overcoming challenges with tooling and FFI safety issues.