Work

Constructing Flexible, Identifiable and Interpretable Statistical Models for Binary Data

Year: 2022

Type: article

Source: International Statistical Review

DOI: 10.1111/insr.12485

Authors: Henry R. Scharf, Xinyi Lu, Perry J. Williams, Mevin B. Hooten

Institutions: San Diego State University, Colorado State University, University of Nevada, Reno, United States Geological Survey

Language: English

Topic: Statistical Methods and Bayesian Inference

Subfield: Statistics and Probability

Field: Mathematics

Domain: Physical Sciences

Open Access status: closed

OpenAlex ID: W4210778921

FWCI: 0.716

Cites: 58

Cited by: 4

Related to: 10