home/categories/scientific-computing/letta-ai-skills-letta-benchmarks-trajectory-only-adaptive-rejection-sampler-skill-md
scientific-computingresearch

adaptive-rejection-sampler

Guidance for implementing adaptive rejection sampling (ARS) algorithms for generating random samples from log-concave probability distributions. This skill should be used when tasks involve implementing ARS, rejection sampling, or Monte Carlo methods that require sampling from custom probability distributions, particularly in R or other statistical computing languages.

letta-ai
maintainer
letta-ai
अपडेट किया गया 1/19/2026
स्टार
31
फोर्क
5
quick start

Installation and usage

Guidance for implementing adaptive rejection sampling (ARS) algorithms for generating random samples from log-concave probability distributions. This skill should be used when tasks involve implementing ARS, rejection sampling, or Monte Carlo methods that require sampling from custom probability distributions, particularly in R or other statistical computing languages.

इंस्टॉलेशन
$ install --globalskills.sh
उपयोग

इंस्टॉल करने के बाद, आप टर्मिनल में यह कमांड चलाकर इस स्किल का उपयोग कर सकते हैं:

skills use adaptive-rejection-sampler