The group lasso estimator for logistic regression is shown to be statistically consistent even if the number of predictors is much larger than sample size but with sparse true underlying structure. We ...

The simplest form of regression in Python is, well, simple linear regression. With simple linear regression, you're trying to ...

That result is extended to the case where concomitant information is available for each individual and where the proportional-hazards model holds. The loss of efficiency caused by ignoring concomitant ...

Discover what black box models are, their applications in finance and investing, and examples of how they drive decision-making without revealing internal processes.

Learn how ARIMA models use time series data for accurate short-term forecasting. Discover its pros, cons, and essential tips for financial predictions.