Developing metamodels for quantiles can be inaccurate when the input estimates of the quantiles used to fit the model are noisy. In this paper, a multiple response model is developed to jointly model ...

The objective of this article is to estimate insurance claims from an auto dataset using the Tweedie and zeroadjusted inverse Gaussian (ZAIG) methods. We identify factors that influence claim size and ...

GGD - Gradational Gaussian Distribution Here is an R package of a reference class provides a Gradational Gaussian Distribution (GGD). It can approximates asymmetric frequency distributions or traces ...

Quantiles and expectiles analyze the regression model not only at the mean but also in the tails. Financial losses, medical insurance, auction bids, insurance claims and toxicity limits are all areas ...

Dr. James McCaffrey of Microsoft Research says the main advantage of using Gaussian naive Bayes classification compared to other techniques like decision trees or neural networks is that you don't ...

Add a description, image, and links to the gaussian-quantiles topic page so that developers can more easily learn about it ...

The Gaussian blur is a great example of simple mathematics put to a powerful use in image processing. Now you know how it works on a fundamental level!