Influential Time-Series Forecasting Papers of 2023–2024: Part 1

TIME-MOE: Billion-Scale Time Series Foundation Model with Mixture-of-Experts

ARIMA: A Model to Predict Time Series Data

Neural Networks for Flexible Multivariate Forecasting

TimesFM for Time-Series Forecasting

TimeMixer: Exploring the Latest Model in Time Series Forecasting

Neural Network (MLP) for Time Series Forecasting in Practice

Exploring the Latest Advances in Foundation Time-series Models

Time Series Forecasting in the Age of GenAI: Make Gradient Boosting Behaves like LLMs

Estimate the unobserved — Moving-Average Model Estimation with Maximum Likelihood in Python