[3] Log-Linear Bayesian Additive Regression Trees for Multinomial Logistic and Count Regression Models. Journal of the American Statistical Association (2021).

Prasun Chaudhuri speaks to expert Subrata Das about the opportunities. Das is currently an adjunct faculty member at Northeastern University in Boston, US, where he teaches generative AI ...

Poisson regression models the noisy output of a counting function as a Poisson random variable, with a log-mean parameter that is a linear function of the input vector. In this work, we analyze ...

Dr. James McCaffrey presents a complete end-to-end demonstration of linear regression using JavaScript. Linear regression is ...

Estimation Techniques in Linear Regression Models Publication Trend The graph below shows the total number of publications each year in Estimation Techniques in Linear Regression Models.

The benefits of regression analysis are manifold: The regression method of forecasting is used for, as the name implies, forecasting and finding the causal relationship between variables.

Multiple regression models forecast a variable using a linear combination of predictors, whereas autoregressive models use a combination of past values of the variable.

Hu, J.S., Chen, Q.Y. and Yu, T.X. (2025) Emotion Regulation and Depression Symptoms among Chinese Adolescents: The Sequential Mediation Effect of Social Anxiety and Loneliness. Open Journal of Social ...

To address this challenge, this paper presents a novel Bayesian Optimization approach that incorporates a surrogate model defined as an improved Random Forest to automate the calibration process of ...

Learn how to use linear regression tools for predictive maintenance in industrial equipment, and what are the benefits and challenges of this strategy.