Understand logistic regression, a key statistical method for relationships with binary outcomes. Explore its formula, assumptions and practical applications.

Learn how to build a multivariate linear regression model step by step—no libraries, just pure C++ logic!

This paper provides approximate formulas that generalize the Black–Scholes formula in all dimensions. Pricing and hedging of multivariate contingent claims are achieved by computing lower and upper ...

This study investigates regression analysis of multivariate current status data using a class of flexible semiparametric transformation frailty models. The maximum likelihood estimation procedure is ...

We focus on the construction of confidence corridors for multivariate nonparametric generalized quantile regression functions. This construction is based on asymptotic results for the maximal ...