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Sample space reducing for statistical decision effectiveness increasing
P. 501–506.
Tsitovich F. I., Tsitovich I. I.
We apply the suboptimal sequential nonparametric hypotheses testing approach for effectiveness of a statistical decision by sample space reducing. Numerical examples of the sample space reducing are given when an appropriate reducing makes it possible to construct robust sequential nonparametric hypotheses testing with a smaller mean duration time then one on the total sample space. © 2014 IEEE.
Language:
English
PMLR, 2026.
Added: October 8, 2026
Aleksei Samarin, Aleksei Toropov, Kotenko E. et al., , in: Proceedings of the 37th Conference of Open Innovations Association FRUCT, Helsinki, Finland, 14-16 May 2025, Issue 1 (Full Papers)Vol. 37.: Helsinki: FRUCT Oy, 2025. P. 271–277.
This study focuses on improving iris and pupil segmentation in infrared images, a crucial task for gaze-tracking systems. We propose a lightweight image preprocessing approach, which ensures controlled data transformation, effectively eliminating parasitic reflections, noise, and contrast inconsistencies without introducing unwanted artifacts. Our approach employs analytically defined transformations, incorporating local and global filtering techniques to ...
Added: September 19, 2026
Switzerland: Springer Publishing Company, 2026.
In this volume of “Lecture Notes in Networks and Systems” we are pleased to present the proceedings of the 25th International Multidisciplinary Conference on Reliability and Statistics in Transportation and Communication” (RelStat-2025), which took place in hybrid form in Riga, Latvia on October 16–18, 2025. This event belongs to a con ference series started in ...
Added: May 25, 2026
Aczel B., Szaszi B., Clelland H. et al., Nature 2026 Vol. 652 P. 135–142
The same dataset can be analysed in different justifiable ways to answer the same research question, potentially challenging the robustness of empirical science. ...
Added: January 27, 2026
Pomazanov M. V., The Journal of Risk Model Validation 2026 Vol. 20 No. 1 P. 1–24
This paper proposes a method of designing a statistically distinguishable rating scale
that is not excessive in relation to the existing observation statistics. This allows for
more stable validation with a fixed maximum number of violations of the Wald criterion
compared with the excess scales usually used by banks. The increased validation
robustness will reduce the calibration probability of ...
Added: December 9, 2025
Dzhanashia K., Aleksandr Fedosov, Oleg Evsutin, Sensors 2025 Vol. 25 No. 23 Article 7726
Using an attack-simulation module is a well-recognized approach to improving the robustness of end-to-end neural-network-based data-hiding schemes. However, most proposed attack simulators are limited in the types of attacks they cover, usually handling only a basic set of digital transformations. Real, in-demand use cases for data-hiding methods may involve modifications that cannot be modeled by ...
Added: November 28, 2025
Abashkin V., Sakhno M., Abdrakhmanova G., Вопросы статистики 2025 Т. 32 № 5 С. 7–17
The article presents methodological approaches to organizing and conducting comprehensive statistical monitoring of the development and application of artificial intelligence (AI) technologies. The relevance of this topic is driven by the high significance of AI technologies for the economy and society, and their recognition as one of the leading technologies of the current decade, both globally ...
Added: November 11, 2025
Kolachev N., Новиков И. А., Психологические исследования: электронный научный журнал 2025 Т. 18 № 102 Статья 4
This study examines the characteristics of instructional tasks and problems in applied statistics for psychology students through the lens of a competency-based approach. To achieve the research objective, a methodological framework was developed comprising four key components: content domain, types of cognitive actions, forms of data representation, and instrumental tools. The sample consisted of statistical ...
Added: September 26, 2025
Vapnyarskaya O., Rivchun T., Платонова Н. А. et al., Креативные индустрии 2025 № 1 (1) / 2025 С. 37–52
This article presents the results of a survey conducted at the regional level, in order to form an integral assessment of the development of creative industries of a given region. The authors also compared the survey findings with ratings of a similar direction. The increasing interest of regional administrations in the development of regional creative ...
Added: September 12, 2025
Musaev A., Makshanov A., Dmitry Grigoriev, Montenegrin Journal of Economics 2023 Vol. 19 No. 1 P. 19–30
The paper considers the problem of constructing channel management
strategies for market chaos conditions. The nature of dynamic chaos violates the probabilistic-statistical paradigm's fundamental principle of experiment repeatability. Under these conditions, the traditional statistical methods of evaluation are not effective, and the generated management decisions are unstable. There is a need to create management strategies that
produce ...
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Vladimir B., Современная мировая экономика 2024 Т. 2 № 4 С. 6–23
A mitigation of political risks is a pre-requisite for an effective mobilization of private capital which is expected to play an important role in financing Sustainable Development Goals. However, the issue of measuring the effect of various financial and non-financial tools on such risks has not been addressed properly on a conceptual or technical level. ...
Added: April 3, 2025
Loskutova M., Копелев Д. Н., Петербургский исторический журнал: исследования по российской и всеобщей истории 2024 № 4 (44) С. 66–78
This paper presents an examination of the history of the early thematic maps of European Russia that appeared during the period spanning the 1840s to the early 1850s. The paper demonstrates the connection between the “Industrial Map of European Russia” (1842) and the renowned geological expedition led by R. I. Murchison, E. de Verneuil and ...
Added: December 21, 2024
Valeriy Kalyagin, Ilya Kostylev, , in: Mathematical Optimization Theory and Operations Research. 23rd International Conference, MOTOR 2024, Omsk, Russia, June 30–July 6, 2024, Proceedings. LNCS, volume 14766.: Springer, 2024. P. 337–348.
Problem of learning a graphical model (graphical model selection problem) consists of recovering a conditional dependence structure (concentration graph) from data given as a sample of observations from a random vector. Various algorithms to solve this problem are known. One class of algorithms is related with convex optimization problem with additional lasso regularization term. Such ...
Added: August 9, 2024
Shirnin A., Andreev N., Potapova S. et al., IEEE/ACM Transactions on Speech and Language Processing 2024 Vol. 32 P. 2751–2763
We present an approach to evaluate the robustness of pre-trained vision and language (V&L) models to noise in input data. Given a source image/text, we perturb it using standard computer vision (CV) / natural language processing (NLP) techniques and feed it to a V&L model. To track performance changes, we explore the problem of visual ...
Added: July 19, 2024
Valencia: PMLR, 2024.
Proceedings of Machine Learning Research. Volume 238: International Conference on Artificial Intelligence and Statistics, 2-4 May 2024, Palau de Congressos, Valencia, Spain ...
Added: April 22, 2024
Grafova M. A., Шаги/Steps 2024 Т. 10 № 1 С. 12–67
This article explores religious marriage in the USSR
during the New Economic Policy (NEP). From the start, the Soviet
authorities made great efforts to gradually eliminate religious beliefs
within Soviet society. One of the first steps in that direction
was the removal of marriage from Church jurisdiction. Moreover,
Soviet power was constantly trying to compromise the tradition
of religious marriage. However, ...
Added: April 6, 2024
Vladimirova A., Юго-Восточная Азия: актуальные проблемы развития 2021 Т. 4 № 4(53) С. 55–66
Russian politicians and experts often emphasize the importance of strengthening foreign trade relations with the Association of Southeast Asian Nations (ASEAN), however, they give very diverse assessments of this cooperation. Thus, we present a range of statistical indicators and related infographics that allow us to explore the development of foreign trade between Russia and the ...
Added: February 27, 2024
Zolotareva A., Клиническая и специальная психология 2023 Т. 12 № 4 С. 107–121
The aim of this study was to examine the psychometric properties of the Russian version of the Patient Health Questionnaire-9 (PHQ-9). The participants were 1800 Russians, including 1076 (59.8%) women and 724 (40.2%) men aged 18 to 90 years (M=30.2; SD=14.5). They completed the Russian version of the PHQ-9. The results showed that the Russian ...
Added: February 14, 2024
Bazhenov G., Kuznedelev D., Malinin A. et al., , in: Advances in Neural Information Processing Systems 36 (NeurIPS 2023).: Curran Associates, Inc., 2023. P. 75567–75594.
In reliable decision-making systems based on machine learning, models have to be robust to distributional shifts or provide the uncertainty of their predictions. In node-level problems of graph learning, distributional shifts can be especially complex since the samples are interdependent. To evaluate the performance of graph models, it is important to test them on diverse ...
Added: February 7, 2024
Anna Melman, Oleg Evsutin, Journal of Visual Communication and Image Representation 2024 Vol. 99 Article 104073
Image watermarking is an effective and promising technology. Robust watermarks, resistant to various attacks, allow authors and owners of digital images to protect their rights to digital content, control its distribution and confirm its authenticity. Most of the modern algorithms for robust image watermarking aim to achieve resistance to a large number of different attacks. ...
Added: January 27, 2024