Jordan Stoyanov
About
Jordan Stoyanov has authored 61 papers that have received a total of 1.3k indexed citations.
This includes 32 papers in Statistics and Probability, 17 papers in Artificial Intelligence and 12 papers in Applied Mathematics. The topics of these papers are Statistical Distribution Estimation and Applications (19 papers), Bayesian Methods and Mixture Models (11 papers) and Mathematical functions and polynomials (10 papers). Jordan Stoyanov is often cited by papers focused on Statistical Distribution Estimation and Applications (19 papers), Bayesian Methods and Mixture Models (11 papers) and Mathematical functions and polynomials (10 papers) and collaborates with scholars based in United Kingdom, Taiwan and Bulgaria. Jordan Stoyanov's co-authors include Gwo Dong Lin, Е. B. Yarovaya, Anirban Dasgupta, Bander Al-Zahrani and Sofiya Ostrovska and has published in prestigious journals such as Journal of the American Statistical Association, The American Statistician and Applied Mathematics and Computation
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