Onur Teymur

5 papers and 22 indexed citations i.

Onur Teymur is a scholar working on Artificial Intelligence, Statistics and Probability and Statistics, Probability and Uncertainty. According to data from OpenAlex, Onur Teymur has authored 5 papers receiving a total of 22 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Artificial Intelligence, 2 papers in Statistics and Probability and 2 papers in Statistics, Probability and Uncertainty. Recurrent topics in Onur Teymur’s work include Gaussian Processes and Bayesian Inference (3 papers), Statistical Methods and Inference (1 paper) and Numerical methods for differential equations (1 paper). Onur Teymur is often cited by papers focused on Gaussian Processes and Bayesian Inference (3 papers), Statistical Methods and Inference (1 paper) and Numerical methods for differential equations (1 paper). Onur Teymur collaborates with scholars based in United Kingdom, Australia and Germany. Onur Teymur's co-authors include Jon Cockayne, Chris J. Oates, Ben Calderhead, Philipp Hennig and Jackson Gorham and has published in prestigious journals such as Bayesian Analysis and Annual Review of Statistics and Its Application.