Interaction detection for generalized linear models for a purchase decision
US9361274B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Mar 11, 2013 |
| Grant date | Jun 7, 2016 |
| Priority date | — |
| Expiry date | Apr 3, 2034 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06Q10/067
- WIPO fieldIT methods for management
- WIPO sectorElectrical engineering
Abstract
Provided are techniques for interaction detection for generalized linear models. Basic statistics are calculated for a pair of categorical predictor variables and a target variable from a dataset during a single pass over the dataset. It is determined whether there is a significant interaction effect for the pair of categorical predictor variables on the target variable by: calculating a log-likelihood value for a full generalized linear model without estimating model parameters; calculating the model parameters for a reduced generalized linear model with a recursive marginal mean accumulation technique using the basic statistics; calculating a log-likelihood value for the reduced generalized linear model; calculating a likelihood ratio test statistic using the log-likelihood value for the full generalized linear model and the log-likelihood value for the reduced generalized linear model; calculating a p-value of the likelihood ratio test statistic; and comparing the p-value to a significance level.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.