Linear models, generalized linear models, and nonlinear models are examples of parametric regression models because we know the function that describes the relationship between the response and ...

Sankhyā: The Indian Journal of Statistics, Series A (2008-), Vol. 70, No. 2 (August 2008), pp. 267-313 (47 pages) The Bayesian approach to analyzing semi-parametric models are gaining popularity in ...

The paper compares non-parametric (design-based) and parametric (model-based) approaches to the analysis of data in the form of replicated spatial point patterns in two or more experimental groups.

Recent Findings in Actuarial Science Described by Researchers from University College (Risk Margin Quantile Function Via Parametric And Non-parametric Bayesian Approaches) The news correspondents ...

Mitchell Grant is a self-taught investor with over 5 years of experience as a financial trader. He is a financial content strategist and creative content editor. Timothy Li is a consultant, accountant ...