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Taras Lazariv
Taras Lazariv
TU Dresden & ScaDS.AI
在 tu-dresden.de 的电子邮件经过验证
标题
引用次数
引用次数
年份
Fully automated pose estimation of historical images in the context of 4D geographic information systems utilizing machine learning methods
F Maiwald, C Lehmann, T Lazariv
ISPRS International Journal of Geo-Information 10 (11), 748, 2021
222021
Statistical inferences for realized portfolio weights
V Golosnoy, W Schmid, MI Seifert, T Lazariv
Econometrics and Statistics 14, 49-62, 2020
202020
An automated pipeline for a browser-based, city-scale mobile 4d vr application based on historical images
S Münster, F Maiwald, C Lehmann, T Lazariv, M Hofmann, F Niebling
proceedings of the 2nd workshop on structuring and understanding of …, 2020
172020
Goodness-of-fit tests for large datasets
T Lazariv, C Lehmann
arXiv preprint arXiv:1810.09753, 2018
132018
Surveillance of non-stationary processes
T Lazariv, W Schmid
AStA Advances in Statistical Analysis 103, 305-331, 2019
102019
Behavior of EWMA type control charts for small smoothing parameters
T Lazariv, Y Okhrin, W Schmid
Computational Statistics & Data Analysis 89, 115-125, 2015
102015
On control charts for monitoring the variance of a time series
T Lazariv, W Schmid, S Zabolotska
Journal of Statistical Planning and Inference 143 (9), 1512-1526, 2013
102013
A generalized service infrastructure for data analytics
J Frenzel, Y Sastri, C Lehmann, T Lazariv, R Jäkel, WE Nagel
2018 IEEE Fourth International Conference on Big Data Computing Service and …, 2018
62018
Challenges in monitoring non-stationary time series
T Lazariv, W Schmid
Frontiers in Statistical Quality Control 12, 257-275, 2018
52018
Variance charts for time series: a comparison study
T Lazariv, W Schmid
Frontiers in Statistical Quality Control 11, 77-94, 2015
32015
Misleading signals in joint schemes for the mean vector and covariance matrix
M Cabral Morais, W Schmid, P Ferreira Ramos, T Lazariv, A Pacheco
Quality and Reliability Engineering International 36 (2), 642-651, 2020
22020
Comparison of joint control schemes for multivariate normal iid output
MC Morais, W Schmid, PF Ramos, T Lazariv, A Pacheco
AStA Advances in Statistical Analysis 103, 257-287, 2019
22019
Correction to: Comparison of joint control schemes for multivariate normal iid output
MC Morais, W Schmid, PF Ramos, T Lazariv, A Pacheco, I Semeniuk
AStA Advances in Statistical Analysis 103, 289-303, 2019
12019
EWMA Control Charts for the Variance of Autoregressive Fractionally Integrated Moving Average Processes
T Lazariv, L Rabyk, W Schmid
Europa-Universität Viadrina, 2016
2016
Behavior of EWMA Type Charts for Small Smoothing Parameter
T Lazariv, Y Okhrin, W Schmid
Univ., Department of Business Administration and Economics, 2013
2013
ОСНОВНІ МАТЕМАТИЧНІ ХАРАКТЕРИСТИКИ ФУНКЦІОНАЛА ВИПЛАТ
Y Yeleyko, T Lazariv, S Mazur
Вісник Львівського університету. Серія прикладна математика та інформатика, 2012
2012
Main mathematical characteristics of payment functional
Y Yeleyko, T Lazariv, S Mazur
Bulletin of the Lviv University, Series in Mathematics & Informatics, 157-164, 2012
2012
Multifractal products of diffusion processes and randomized scenario
Y Yeleiko, T Lazariv, S Mazur
2011
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