Linear regression remains a cornerstone of statistical analysis, offering a framework for modelling relationships between a dependent variable and one or more independent predictors. Over the past ...

Each of 8824 expressed genes was analyzed in a mixed ... learning model elastic net regression and leave-one-out cross validation used to identify a predicted trait for each worm given transcriptomic ...

California Gov. Gavin Newsom (D) spoke to reporters after a federal judge blocked President Donald Trump from deploying the National Guard to Los Angeles. Learn how to build a multivariate linear ...

Researchers at EPFL have created a mathematical model that helps explain how breaking language into sequences makes modern AI ...

SportsLine's model is leaning Under on the total, projecting 8.7 combined runs, and it says one side of the money line has all the value. You can head to SportsLine to see the model's MLB picks.

The SportsLine Projection Model simulates every NHL game 10,000 times. It enters the first week of the 2025 Stanley Cup Final a combined 80-56 on top-rated NHL puck-line and over/under betting ...

Abstract: A new generalized multilinear regression model, termed the higher order partial least squares (HOPLS), is introduced with the aim to predict a tensor (multiway array) $(\underline{\bf Y})$ ...

Algonquin Power & Utilities Corp. operates in the power and utility industries. The company operates through Regulated Services Group and Hydro Group segments. The company owns and operates a ...

sdmTMB is an R package that fits spatial and spatiotemporal GLMMs (Generalized Linear Mixed Effects Models) using Template Model Builder (TMB), R-INLA, and Gaussian Markov random fields. One common ...

Visualize the generated mixtures. regression_fitting: The heart of RegMix. Fit the regression model using small model performance data, and by default we use the validation loss on the Pile-CC dataset ...

Abstract: Recent development of the multi-sensor generalised labelled multi-Bernoulli ... Our algorithm assumes linear Gaussian property on the dynamic and measurement models for closed-form analytic ...