Ivan Jeliazkov

18 papers and 1.1k indexed citations i.

Ivan Jeliazkov has authored 18 papers that have received a total of 1.1k indexed citations. This includes 7 papers in Statistics and Probability, 6 papers in Economics and Econometrics and 4 papers in Artificial Intelligence. The topics of these papers are Statistical Methods and Bayesian Inference (6 papers), Statistical Methods and Inference (5 papers) and Markov Chains and Monte Carlo Methods (5 papers). Ivan Jeliazkov is often cited by papers focused on Statistical Methods and Bayesian Inference (6 papers), Statistical Methods and Inference (5 papers) and Markov Chains and Monte Carlo Methods (5 papers) and collaborates with scholars based in United States, United Kingdom and Australia. Ivan Jeliazkov's co-authors include Siddhartha Chib, Joshua C. C. Chan, Robert Hill, Eric Hillebrand and Juan Carlos Escanciano and has published in prestigious journals such as Journal of the American Statistical Association, Journal of Monetary Economics and Marketing Science.