Logistic regression is a powerful ... and a p-value (a probability of obtaining statistical test results as extreme as the observed results). The z statistic is used to derive the p-value using a ...

Regression models with intractable normalizing constants are valuable tools for analyzing complex data structures, yet ...

The course provides a precise and accurate treatment of probability, distribution theory and statistical inference ... A treatment of linear regression models, featuring the interpretation of computer ...

Julie Young is an experienced financial writer and editor. She specializes in financial analysis in capital planning and investment management. Suzanne is a content marketer, writer, and fact-checker.

The main focus of this short course will be the Bayesian aspect of it. That means this is a slightly more advanced course requiring some knowledge of basic probability, regression methods, and the R ...

In this paper, we propose a functional linear regression model in the space of probability density functions. We treat a cross-sectional distribution of individual earnings as an infinite dimensional ...

When combined, all of the separate trials create a probability distribution or risk assessment for a given investment or event. Monte Carlo analysis is a kind of multivariate modeling technique.