Publisher Correction: Atomistic simulations of out-of-equilibrium quantum nuclear dynamics by Francesco Libbi, Anders Johansson, Lorenzo Monacelli, Boris Kozinsky

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Ratings  of  Territories —   A  Tool  of  Complex  Statistical  Analysis  (Information  Aspect) by L. Yu. Arkhangelskaya

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Forecasting cryptocurrency returns using classical statistical and deep learning techniques by Nehal N. AlMadany, Omar Hujran, Ghazi Al Naymat, Aktham Maghyereh

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Modeling the Impacts of Galaxy Intrinsic Alignments on Weak Lensing Peak Statistics by Tianyu Zhang, Xiangkun Liu, Ziwei Li, Chengliang Wei, Guoliang Li, Yu Luo, Xi Kang, Zuhui Fan

“…Weak gravitational lensing (WL) peak statistics capture cosmic nonlinear structures and can provide additional cosmological information complementary to cosmic shear two-point correlation analyses. …”
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Self-Normalized Moderate Deviations for Degenerate <i>U</i>-Statistics by Lin Ge, Hailin Sang, Qi-Man Shao

Subjects: “…degenerate <i>U</i>-statistics…”
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Gamma-Ray Bursts as Distance Indicators by a Statistical Learning Approach by Maria Giovanna Dainotti, Aditya Narendra, Agnieszka Pollo, Vahé Petrosian, Malgorzata Bogdan, Kazunari Iwasaki, Jason Xavier Prochaska, Enrico Rinaldi, David Zhou

“…To address this, we estimated the GRB redshift (distance) via a supervised statistical learning model that uses optical afterglow observed by Swift and ground-based telescopes. …”
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MULTILEVEL RESEARCH OF INNOVATIVE AND REPRODUCTION DEVELOPMENT OF REGIONS ON THE BASIS OF THE STATISTICAL ANALYSIS by Yu. A. Dmitriev, D. Yu. Fraymovich, Z. V. Mishchenko

“…Analyses are applied regression and cluster statistical. This results from the fact that all subjects have different «starting» opportunities, de facto various financing, and also institutional, political and legal, climatic, ecological and other conditions. …”
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Statistical approach to research of development of information society in the context of world tendencies by E. N. Klochkova

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Three-dimensional creep constitutive model of sandstone based on damage statistics by Wang Liukai, Cai Guojun, Zhao Weiping, Hu Xing

“…The conventional triaxial compression test was carried out on the MTS-815 rock rigidity testing machine, and the applicability of the damage statistical model was verified by comparing the compression test results with the damage evolution curve. …”
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Linguistic and Statistical Analysis of the Terminology for Constructing the Thesaurus of a Specified Field by M. S. Karyaeva

“…Preliminary systematization of terminology with a linguistic and statistical approach forms the body of semantically related concepts to automate extraction of semantic relationships between terms that define the structure of the thesaurus of the specified field.…”
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Quantitative Analysis for the Reconstruction of Porous Media Using Multiple-Point Statistics by Qing Xie, Jianping Xu, Yuanda Yuan, Cong Niu

“…To capture the large-scale patterns in the pore space, the multiple-point statistical technique is generally adopted for porous media reconstruction. …”
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Generative Jazz Chord Progressions: A Statistical Approach to Harmonic Creativity by Adriano N. Raposo, Vasco N. G. J. Soares

“…It proposes an unconventional statistical approach, leveraging a corpus of 1382 jazz standards, which includes key information, song structure, and chord sequences by section. …”
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A Comparison of the Metaphysical Egoism of ʿAllāma Ṭabāṭabāʾī With Egoistic Theories in Ethics by Ḥamīd Ḥassanī, Donyā Ḥamīdī

“…In this article, we will examine the claims and arguments of egoists while comparing their perspectives with those of ʿAllāma Ṭabāṭabāʾī (Arabic: عَلَّامَة طَبَاطَبَائِی). …”
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VISUALIZATION OF DATA AND RESULTS AS А METHODOLOGICAL BASIS OF APPLIED STATISTICS TEACHING by R. R. Nuriakhmetov

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Teaching Statistics and Data Science Collaboration via a Community of Practice by Jessica L. Alzen, Kimberly J. Cho, Eric A. Vance

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Experimental statistical analysis of radar signals reflected from weather hazards by E. S. Boyarenko, E. A. Bolelov, O. V. Vasiliev, S. S. Korotkov

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Exploring the Potential of Neural Networks to Predict Statistics of Solar Wind Turbulence by Daniel Wrench, Tulasi N. Parashar, Ritesh K. Singh, Marcus Frean, Ramesh Rayudu

“…Here, we study the utility of artificial neural networks (ANNs) to predict statistics of sparse time series. Our focus is not on time series prediction but on gleaning the best possible information about the statistical behavior of the system. …”
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An automatic adaptive method to combine summary statistics in approximate Bayesian computation. by Jonathan U Harrison, Ruth E Baker

“…However, some summary statistics contain more information about parameters of interest than others, and it is not always clear how to weight their contributions within the ABC framework. …”
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Statistics Corner: <i>Post</i><i>Hoc</i> Tests by Kamal Kishore, Vidushi Jaswal, Tejinder Singh

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Selective Reviews of Bandit Problems in AI via a Statistical View by Pengjie Zhou, Haoyu Wei, Huiming Zhang

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