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sander.ai
| | gregorygundersen.com
1.6 parsecs away

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| | [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.
| | fa.bianp.net
1.1 parsecs away

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| | The Langevin algorithm is a simple and powerful method to sample from a probability distribution. It's a key ingredient of some machine learning methods such as diffusion models and differentially private learning. In this post, I'll derive a simple convergence analysis of this method in the special case when the ...
| | www.randomservices.org
1.5 parsecs away

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| | [AI summary] The text covers various topics in probability and statistics, including continuous distributions, empirical density functions, and data analysis. It discusses the uniform distribution, rejection sampling, and the construction of continuous distributions without probability density functions. The text also includes data analysis exercises involving empirical density functions for body weight, body length, and gender-specific body weight.
| | www.kuniga.me
23.2 parsecs away

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| NP-Incompleteness: Introduction to quantum computing and the Deutsch-Jozsa Algorithm