Work

Bayesian Gaussian process factor analysis with copula for count data

Year: 2022

Type: article

Source: Expert Systems with Applications

DOI: 10.1016/j.eswa.2022.116645

Authors: Gregor Pirš, Erik Štrumbelj

Institution: University of Ljubljana

Language: English

Topic: Gaussian Processes and Bayesian Inference

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

Open Access status: closed

Funder: Javna Agencija za Raziskovalno Dejavnost RS

Awards: Digitalization as Driving Force for Sustainability of Individuals, Organizations, and Society, Advancement of computationally intensive methods for efficient modern general-purpose statistical analysis and inference

OpenAlex ID: W4212938641

FWCI: 0.08

Cites: 64

Cited by: 1

Related to: 10