Generative Pre-trained Transformers Are Large Time Series Models Channel independence; Large-scale data; Auto-regression ICML'24 MOMENT: A Family of Open Time-series Foundation Models Masked ...

In the past, topics have included: the field of statistics and its history, large-scale sample surveys, survival analysis, subjective probability, time series ... boosting) and regression (linear, ...

Ideas are illustrated with applications from parametric and non-parametric regression, density and spectrum estimation, time series, hypothesis testing, contingency tables, and data compression.

This project implements a non-linear regression model to forecast values in real-world time series datasets using a 7th-degree polynomial basis. The model is trained using empirical risk minimization ...

Dr. James McCaffrey from Microsoft Research presents a complete end-to-end demonstration of linear regression with two-way ...

In a network, pairs of individual elements, or nodes, connect to each other; those connections can represent a sprawling system with myriad individual links. A hypergraph goes deeper: It gives ...