#autoarima
Me fucking around in R: “and so you seem implementing Prophet or AutoARIMA is easy”

Some programmer who has to implement it in SAS without new licenses: “First of all, fuck you”
November 25, 2024 at 10:57 PM
🔥 ARIMA Pros, Brace Yourselves: Your Forecasting Toolkit Just Got a Fusion Reactor Upgrade 🔥

Tired of ARIMA feeling like a black box? Ever wonder why AutoARIMA picks that specific (p,d,q)? Or if your AutoARIMA not doing great?
May 28, 2025 at 7:26 PM
📰 **Gold Prices Forecast — 4 Weeks Ahead**

Autogenerated gold price and volatility forecast — ensemble of AutoARIMA, AutoETS, Theta and LightGBM, with a GARCH(1,1) volatility outlook.

📰 Source: Stonks (Stocks) Go Up on Neural Market Trends
🔗 Link […]
Original post on igeek.gamer-geek-news.com
igeek.gamer-geek-news.com
September 26, 2026 at 4:17 PM
🔥 ARIMA Pros, Brace Yourselves: Your Forecasting Toolkit Just Got a Fusion Reactor Upgrade 🔥

Tired of ARIMA feeling like a black box? Ever wonder why AutoARIMA picks that specific (p,d,q)? Or if your AutoARIMA not doing great?
May 30, 2025 at 6:08 PM
🔥 ARIMA Pros, Brace Yourselves: Your Forecasting Toolkit Just Got a Fusion Reactor Upgrade 🔥

Tired of ARIMA feeling like a black box? Ever wonder why AutoARIMA picks that specific (p,d,q)? Or if your AutoARIMA not doing great?
May 31, 2025 at 5:18 PM
This chapter explores the full depth of ARIMA: from evaluating whether automated approaches like AutoARIMA deliver reliable results, to drawing connections with machine learning and Vapnik’s Statistical Learning Theory.
May 26, 2025 at 3:09 PM
📰 **Silver Prices Forecast — 4 Weeks Ahead**

Autogenerated silver price and volatility forecast — ensemble of AutoARIMA, AutoETS, Theta and LightGBM, with a GARCH(1,1) volatility outlook.

📰 Source: Stonks (Stocks) Go Up on Neural Market Trends
🔗 Link […]
Original post on igeek.gamer-geek-news.com
igeek.gamer-geek-news.com
September 19, 2026 at 4:10 PM
🤖 The AutoARIMA Arena: A no-holds-barred comparison of pmdarima, statsforecast, R's auto.arima, fable, and even Julia/Rust contenders! Who wins on speed, accuracy, and handling edge cases? (Spoiler: Python's catching up FAST!)
May 31, 2025 at 6:26 PM
🧩 Final Thought
ARIMA is a mature statistical model, and most innovations today revolve around usability, performance tuning, and large-scale scalability—not new algorithms. So the next time you're using an AutoARIMA tool in Python, just know: under the hood, it’s likely just Statsmodels...
May 28, 2025 at 10:35 AM
📰 **Gold Prices Forecast — 4 Weeks Ahead**

Autogenerated gold price and volatility forecast — ensemble of AutoARIMA, AutoETS, Theta and LightGBM, with a GARCH(1,1) volatility outlook.

📰 Source: Stonks (Stocks) Go Up on Neural Market Trends
🔗 Link […]
Original post on igeek.gamer-geek-news.com
igeek.gamer-geek-news.com
September 14, 2026 at 12:17 AM
📰 **Gold Prices Forecast — 4 Weeks Ahead**

Autogenerated gold price and volatility forecast — ensemble of AutoARIMA, AutoETS, Theta and LightGBM, with a GARCH(1,1) volatility outlook.

📰 Source: Stonks (Stocks) Go Up on Neural Market Trends
🔗 Link […]
Original post on igeek.gamer-geek-news.com
igeek.gamer-geek-news.com
September 7, 2026 at 12:53 PM
I ran Google's TimesFM 3.0 zero-shot vs AutoARIMA. Train through 2024, score through Jul 2026 FRED.

Unemployment MAE 0.11 vs 0.18. Retail MAPE 0.93% vs 1.22%.

Bottom line: ~2.5% and ~1% off actuals. 40% and 24% less error than AutoARIMA.
September 3, 2026 at 1:55 PM
📰 **Silver Prices Forecast — 4 Weeks Ahead**

Autogenerated silver price and volatility forecast — ensemble of AutoARIMA, AutoETS, Theta and LightGBM, with a GARCH(1,1) volatility outlook.

📰 Source: Stonks (Stocks) Go Up on Neural Market Trends
🔗 Link […]
Original post on igeek.gamer-geek-news.com
igeek.gamer-geek-news.com
August 31, 2026 at 12:15 PM
A new AI review! Nixtla/statsforecast ⭐4.2/5.0
statsforecast is a mature, production-oriented Python library for high-performance univariate time-series forecasting using a broad suite of statistical/econometric models (AutoARIMA/ETS/CES/Theta, MSTL, TBAT...
https://gitrated.com/Nixtla/statsforecast
June 11, 2026 at 7:17 PM
⏳ Classical Methods Matter
Statistical forecasting isn’t obsolete. It’s essential.

This book offers rich, modern coverage of classical models:
✅ ARIMA (with Box-Jenkins methodology, SARIMA, ARIMAX, AutoARIMA comparisons)
August 17, 2025 at 4:04 PM
⏳ Classical Methods Matter
Statistical forecasting isn’t obsolete. It’s essential.

This book offers rich, modern coverage of classical models:
✅ ARIMA (with Box-Jenkins methodology, SARIMA, ARIMAX, AutoARIMA comparisons)
August 12, 2025 at 4:04 PM
⏳ Classical Methods Matter
Statistical forecasting isn’t obsolete. It’s essential.

This book offers rich, modern coverage of classical models:
✅ ARIMA (with Box-Jenkins methodology, SARIMA, ARIMAX, AutoARIMA comparisons)
August 10, 2025 at 4:03 PM
⏳ Classical Methods Matter
Statistical forecasting isn’t obsolete. It’s essential.

This book offers rich, modern coverage of classical models:
✅ ARIMA (with Box-Jenkins methodology, SARIMA, ARIMAX, AutoARIMA comparisons)
August 5, 2025 at 4:03 PM
⏳ Classical Methods Matter
Statistical forecasting isn’t obsolete. It’s essential.

This book offers rich, modern coverage of classical models:
✅ ARIMA (with Box-Jenkins methodology, SARIMA, ARIMAX, AutoARIMA comparisons)
July 31, 2025 at 4:02 PM
⏳ Classical Methods Matter
Statistical forecasting isn’t obsolete. It’s essential.

This book offers rich, modern coverage of classical models:
✅ ARIMA (with Box-Jenkins methodology, SARIMA, ARIMAX, AutoARIMA comparisons)
July 26, 2025 at 4:01 PM
⏳ Classical Methods Matter
Statistical forecasting isn’t obsolete. It’s essential.

This book offers rich, modern coverage of classical models:
✅ ARIMA (with Box-Jenkins methodology, SARIMA, ARIMAX, AutoARIMA comparisons)
July 21, 2025 at 4:01 PM
⏳ Classical Methods Matter
Statistical forecasting isn’t obsolete. It’s essential.

This book offers rich, modern coverage of classical models:
✅ ARIMA (with Box-Jenkins methodology, SARIMA, ARIMAX, AutoARIMA comparisons)
July 16, 2025 at 4:00 PM
July 8, 2025 at 6:29 PM