time_series
This document provides comprehensive guidance on time series models in statsmodels, including ARIMA, state space models, VAR, exponential smoothing, and forecasting methods.
- Skills
- Scientific
- 0
What it does and how to use it
A skill that teaches Claude Code to do scientific tasks well. It is packaged knowledge the model uses whenever it is relevant.
- Install the skill (command above).
- In Claude Code, describe what you need - the skill turns on by itself when the context fits.
- No commands to memorize: you talk in plain language and the skill does the rest.
Install (Claude Code)
mkdir -p .claude/skills/time-series && curl -fsSL https://doutorai.pt/data/lib/skills__time-series.md -o .claude/skills/time-series/SKILL.mdPaste this command into the terminal, in your project folder, and the component installs automatically.
Content
# Time Series Analysis Reference
This document provides comprehensive guidance on time series models in statsmodels, including ARIMA, state space models, VAR, exponential smoothing, and forecasting methods.
## Overview
Statsmodels offers extensive time series capabilities:
- **Univariate models**: AR, ARIMA, SARIMAX, Exponential Smoothing
- **Multivariate models**: VAR, VARMAX, Dynamic Factor Models
- **State space framework**: Custom models, Kalman filtering
- **Diagnostic tools**: ACF, PACF, stationarity tests, residual analysis
- **Forecasting**: Point forecasts and prediction intervals
- 🔒 Full content on the Pro plan (€7.99/month) -Need help with Claude Code?
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