Kairat Mynbaev was engaged in research and taught in Kazakhstan (Institute of Mathematics and Mechanics, KIMEP, Kazakh-British Technical University, Satbaev University, KazNU), in Brazil (federal universities of the states of Roraima and Ceara), in the USA (University of California, Riverside, and University of Colorado, Boulder). He makes an important contribution to the improvement of research potential by teaching statistics, econometrics and finance, as well as to the development of probability theory and mathematical statistics in the Republic of Kazakhstan, leading doctoral students at KazNU named after Al-Farabi. The first scientific studies of Mynbaev K.T. relate to the function theory and functional analysis. Some of his results were published in a joint monograph with M. Otelbaev, published by the Moscow publishing house Nauka in 1988. For the past two decades, he has been working in probability theory and statistics. His 2004 textbook on Econometrics published in Brazil and Kazakhstan is important for the development of econometrics as a mathematical science in Kazakhstan. His monograph on probability theory and statistics, published by the American publisher Wiley & Sons in 2011, is a confirmation of his recognition by the international scientific community. He also published in the USA a textbook on the basics of statistics (2015). He has a website https://raisingthebar.nl/ with various study materials in statistics, econometrics, optimization theory and finance. He is a member of the editorial board of the Eurasian Mathematical Journal https://emj.enu.kz/main/editorial-board and the Kazakh Mathematical Journal http://www.math.kz/category/mathematical-journal
1) Grant “Estimation of discontinuous densities and distribution functions in relation to applications in economics, finance and insurance” AP05130154 through the Ministry of Education and Science of the Republic of Kazakhstan, term 2018-2020.
2) Grant "Probabilistic analysis of word and sentence embeddings with applications to Kazakh language processing", Nazarbayev University, term 2020-2022.
AP Stats and Business Stats: Raising the bar. Lulu Press, Inc. 2015. 195 pp. ISBN 131268559X. Glasstree, 2017. ISBN 978-1-5342-0231-3, DOI 10.20850/9781534202313
K.T. Mynbaev. (2011). Monograph “Short-memory linear processes and econometric applications”, Wiley & Sons,. 452 pp. ISBN 0470924195. https://www.wiley.com/en-us/Short+Memory+Linear+Processes+and+Econometric+Applications-p-9780470924198
K.T. Mynbaev, A. Lemos. (2004). “Econometria”, 1st edition, in Portuguese. Fundação Getúlio Vargas, Brazil. 348 pp. https://editora.fgv.br/produto/manual-de-econometria-1718
K.T. Mynbaev, A. Lemos. (2004). “Econometrics”, 2nd edition, in Russian. Atamura, Almaty, Kazakhstan. 315 pp.
K.T. Mynbaev, M. O. Otelbaev. (1988). Monograph “Weighted functional spaces and the spectrum of differential operators”, in Russian. Nauka, Moscow, 286 pp. https://bit.ly/2NZdXOz
K.T. Mynbaev, G.S. Darkenbayeva. (2019). “Weak convergence of linear and quadratic forms and related statements on Lp-approximability”. Journal of Mathematical Analysis and Applications, 473, pp. 1305-1319. Impact Factor 1.138 https://www.sciencedirect.com/science/article/abs/pii/S0022247X19300496
K.T. Mynbaev, C. Martins Filho. (2019) “Unified estimation of densities on bounded and unbounded domains”. Annals of the Institute of Statistical Mathematics 71 (4), pp. 853-887. https://doi.org/10.1007/s10463-018-0663-z. Impact Factor 1.049 https://www.ism.ac.jp/editsec/aism/vol71.html
K.T. Mynbaev, C. Martins Filho. (2017). “Reducing bias in nonparametric density estimation via bandwidth dependent kernels: L1 view”. Statistics and Probability Letters, 123, pp. 17-22. Impact Factor: 0.533 https://www.sciencedirect.com/science/article/abs/pii/S0167715216302723
K.T. Mynbaev, C. Martins Filho, A. Aipenova. (2016). “A class of nonparametric density derivative estimators based on global Lipschitz conditions”. Essays in Honor of Aman Ullah. Advances in Econometrics, Volume 36, pp. 591–615. Impact Factor 0.7 Indexed in Scopus and Thomson Reuters https://www.emerald.com/insight/content/doi/10.1108/S0731-905320160000036026/full/html
K.T. Mynbaev, C. Martins Filho. (2015). “Consistency and asymptotic normality for a nonparametric prediction under measurement errors”. Journal of Multivariate Analysis, 139, pp. 166–188. Impact Factor: 0.934 https://www.sciencedirect.com/science/article/pii/S0047259X1500069X
K.T. Mynbaev, S. Nadarajah, Ch.S. Withers, A.S. Aipenova. (2014) “Improving bias in kernel density estimation”. Statistics and Probability Letters, 94, pp. 106-112. Impact Factor 0.531 https://www.sciencedirect.com/science/article/abs/pii/S0167715214002521
1) 1970-1975 - Al-Farabi Kazakh National University, Faculty of Mechanics and Mathematics, specialty - mathematician, teacher of mathematics. 2) 1978-1981 - graduate school at the Institute of Mathematics and Mechanics of the Academy of Sciences of the Kazakh SSR, specialty "Mathematical analysis". Academic degree - candidate of physical and mathematical sciences. 3) In 1991, at the Institute of Mathematics and Mechanics of the Academy of Sciences of the Kazakh SSR, he defended the dissertation of a doctor of physical and mathematical sciences with a degree in mathematical analysis. 4) 1993-1995 - Master's program, Oregon State University, Corvallis, USA, Master of Economics.