SCI Skills

CN Directory
数据与复现统计与数据分析K-Dense-AI/claude-scientific-skills数据与复现
PY

PyMC

维护者 K-Dense Inc. · 最近更新 2026年4月1日

PyMC是一个Python 库 ，用于 Bayesian modeling 、 probabilistic programming。 构建，fit，validate，、 compare Bayesian models ，使用 PyMC's modern API (version 5.x+)，，涵盖 hierarchical models，MCMC sampling (NUTS)，variational inference，、 model comparison (LOO，WAIC)。

Claude CodeOpenClawNanoClaw分析处理复现实验pymcmachine-learningpackagemachine learning & deep learning

原始来源

K-Dense-AI/claude-scientific-skills

https://github.com/K-Dense-AI/claude-scientific-skills/tree/main/scientific-skills/pymc

维护者
K-Dense Inc.
许可
Apache License, Version 2.0
最近更新
2026年4月1日

技能摘要

来自 SKILL.md 的关键信息

2 min

核心说明

  • PyMC是一个Python 库 ，用于 Bayesian modeling 、 probabilistic programming. Build，fit，validate，、 compare Bayesian models ，使用 PyMC's modern API (version 5.x+)，，涵盖 hierarchical models，MCMC sampling (NUTS)，variational inference，、 model comparison (LOO，WAIC)。
  • X =... # Predictors y =... # Outcomes。

原始文档

SKILL.md 摘录

When to Use This Skill

This skill should be used when:

  • Building Bayesian models (linear/logistic regression, hierarchical models, time series, etc.)
  • Performing MCMC sampling or variational inference
  • Conducting prior/posterior predictive checks
  • Diagnosing sampling issues (divergences, convergence, ESS)
  • Comparing multiple models using information criteria (LOO, WAIC)
  • Implementing uncertainty quantification through Bayesian methods
  • Working with hierarchical/multilevel data structures
  • Handling missing data or measurement error in a principled way

Standard Bayesian Workflow

Follow this workflow for building and validating Bayesian models:

1. Data Preparation

import pymc as pm
import arviz as az
import numpy as np

适用场景

  • Building Bayesian models (linear/logistic 回归，hierarchical models，time series，etc.)。
  • Performing MCMC sampling 或 variational inference。
  • Conducting prior/posterior predictive checks。
  • Diagnosing sampling issues (divergences，convergence，ESS)。

不适用场景

  • Do not rely on this catalog entry alone ，用于 installation 或 maintenance details。

相关技能

相关技能

返回目录
AE
数据与复现统计与数据分析

aeon

aeon：Aeon是一个兼容 scikit-learn Python 工具包 ，用于 时序机器学习。 It provides state-of- -art algorithms ，用于 分类，回归，聚类，预测，异常检测，分割，、 相似性检索…

Claude CodeOpenClaw分析处理
K-Dense-AI/claude-scientific-skills查看
BA
数据与复现统计与数据分析

bayesian-optimizer

bayesian-optimizer：Bayesian optimization ，用于 experimental design 、 hyperparameter tuning in biomedical research。

OpenClawNanoClaw分析处理
FreedomIntelligence/OpenClaw-Medical-Skills查看
BI
数据与复现统计与数据分析

bio-chipseq-differential-binding

bio-chipseq-differential-binding：Differential binding analysis ，使用 DiffBind。 比较 ChIP-seq peaks between conditions ，支持 st…

OpenClawNanoClaw分析处理
FreedomIntelligence/OpenClaw-Medical-Skills查看