Framework models light-matter interactions in nonlinear optical microscopy to determine atomic structure

Materials scientists can learn a lot about a sample material by shooting lasers at it. With nonlinear optical microscopy—a ...
JSTOR Daily

Expert, Linear Models, and Nonlinear Models of Expert Decision Making in Bankruptcy Prediction: A Lens Model Analysis

Choong Nyoung Kim and Raymond McLeod, Jr. Analysis of human judgment and decision making provides useful methodologies for examining the human decision process and substantive results. One such ...
JSTOR Daily

Bayesian Nonparametric Dynamic Methods: Applications to Linear and Nonlinear Advertising Models

Bayesian methods for dynamic models in marketing have so far been parametric. For instance, it is invariably assumed that model errors emerge from normal distributions. Yet using arbitrary ...
UMass Lowell

Nonlinear reduced order models using linear modal components animation

Highly reduced order models with nonlinear contact – extremely efficient computation. Modeled as linear components interconnected with highly reduced-order components. 1-linear reduced model, ...
CU Boulder News & Events

Generalized Linear Models and Categorical Data Analysis in R

Ordinary linear regression (OLR) assumes that response variables are continuous. Generalized Linear Models (GLMs) provide an extension to OLR since response variables can be continuous or discrete ...
technologynetworks

Linear Regression

Linear regression is a powerful and long-established statistical tool that is commonly used across applied sciences, economics and many other fields. Linear regression considers the relationship ...