News

Investopedia3y
Multivariate Model: What it is, How it Works, Pros and Cons - Investopedia
The multivariate model is a popular statistical tool that uses multiple variables to forecast possible investment outcomes.
Novel model optimization algorithm improves robustness of near-infrared spectroscopy models
A research team from the Hefei Institutes of Physical Science of the Chinese Academy of Sciences has proposed a novel model optimization algorithm—External Calibration-Assisted Screening (ECA)— that ...
CU Boulder News & Events1y
Assortment Optimization with Multi-Item Basket Purchase Under Multivariate MNL Model | Leeds School of Business - University of Colorado Boulder
In this paper, we incorporate customers' multi-item purchase behavior into the assortment optimization problem. We consider both the uncapacitated and capacitated assortment problems under the ...
CU Boulder News & Events1y
C1. Multivariate Twin Models using OpenMx Part 1: ACE models for two phenotypes and genetic correlation | Institute for Behavioral Genetics - University of Colorado Boulder
PresenterMichael HunterFirst presented atJune 2021 virtual WorkshopContentThis video takes us from the univariate ACE model to a multivariate ACE model: from ACE to MACE. We begin with a review of the ...
Insurancenewsnet.com3y
Findings from University of Melbourne in the Area of Actuarial Science Reported (A New Multivariate Zero-inflated Hurdle Model With Applications In Automobile Insurance ...
Motivated by the idea of Liu and Tian (Computational Statistics and Data Analysis, 83, 200-222; 2015), we develop a multivariate zero-inflated hurdle model to describe multivariate count data with ...
usace.army.mil7y
Pilot program assigns active duty Soldiers category using multivariate model | Article | The United States Army
The pilot assigns active component Soldiers a category using a multivariate model, developed by Office of Economic and Manpower Analysis, based on a Soldier's education, age, rank, separation ...