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A scalable framework to transform samples from one continuous distribution to another

Year: 2015

Type: conference-paper

Source: IEEE International Symposium on Information Theory (ISIT)

DOI: 10.1109/isit.2015.7282540

Authors: Diego Mesa, Sanggyun Kim, Todd Coleman

Institution: University of California San Diego

Language: English

Topic: Markov Chains and Monte Carlo Methods

Subfield: Statistics and Probability

Field: Mathematics

Domain: Physical Sciences

Open Access status: closed

OpenAlex ID: W1669177583

FWCI: 3.303

Cites: 23

Cited by: 8

Related to: 10