Statistical Machine Learning Methods for Complex Data Sets

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Workshop "Seminar on Advances in Statistics"

March 9-12, 2023 in Veliko Tarnovo, Bulgaria

Contributed talks:

Anna Dembinska (Warsaw University of Technology, Poland) Asymptotics of maximum likelihood estimators based on discrete Type II right censored samples

Agnieszka Goroncy (Nicolaus Copernicus University, Poland) On upper estimates of order statistics and spacings from monotone reversed failure rate distributions

Magdalena Szymkowia (Poznan University of Technology, Poland) Some properties of generalized reversed aging intensity functions (joint work with Francesco Buono and Maria Longobardi)

Udo Kamps (RWTH Aachen University, Germany) Point prediction of upper record values

Christina Empacher (RWTH Aachen University, Germany) Comparison of prediction intervals for exponential record values (joint work with U.Kamps)

Diana Rauwolf (RWTH Aachen University, Germany) Characterizations of the exponential distribution based on the order-statistics and the record-values property within renewal processes (joint work with U.Kamps)

Maria Kateri (RWTH Aachen University, Germany) Minimal repair Processes under a failure rate based step-stress test

Nikolay Nikolov (RWTH Aachen University, Germany and Institute of Mathematics and Informatics Bulgarian Academy of Sciences) Optimal test plans for multilevel step-stress accelerated life testing with log-normal distribution (joint work with M. Kateri)

Yao Lu (RWTH Aachen University, Germany) Simple heterogeneous step-stress accelerated life testing mode (joint work with M. Kateri)

Denitsa Grigorova (Sofia University) Modelling longitudinal cognitive test data with ceiling effects and left skewness (joint work with D. Palejev and R. Gueorguieva)

Martin Minchev (Sofia University) Bivariate Bernstein-Gamma functions and asymptotic behaviour of exponential functionals on deterministic horizon (joint work with M. Savov)

Leda Minkova (Sofia University) Geometric Polya-Aeppli process

Eugenia Stoimenova (Institute of Mathematics and Informatics Bulgarian Academy of Sciences) Multi-sample rank tests for location against ordered alternatives

Tsvetelin Zaevski, Dragomir Nedeltchev (Institute of Mathematics and Informatics Bulgarian Academy of Sciences) Exploiting the gap between the real-world and risk-neutral probability measures

Ognyan Kounchev (Institute of Mathematics and Informatics Bulgarian Academy of Sciences) The experience of mathematical modeling ana analysis of the Covid-19 pandemic (joint work with G. Simeonov and G. Boyadzhiev)

 

 

Veliko Tarnovo

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