Incorporating Prior Information in Latent Structures Identification for Panel Data Models by Yi Li, Xingxing Luo, Mengqi Liao

Subjects: “…latent structures…”
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Data-driven contact structures: From homogeneous mixing to multilayer networks. by Alberto Aleta, Guilherme Ferraz de Arruda, Yamir Moreno

“…Nonetheless, current models still lack a faithful representation of all possible heterogeneities and features that can be extracted from data. Here, we bridge a current gap in the mathematical modeling of infectious diseases and develop a framework that allows to account simultaneously for both the connectivity of individuals and the age-structure of the population. …”
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Ancestor regression in structural vector autoregressive models by Schultheiss Christoph, Ulmer Markus, Bühlmann Peter

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Directions of emerging structural changes in the use of biometric data in Russia by N. S. Seliverstova

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Covariate-adjusted functional data analysis for structural health monitoring by Philipp Wittenberg, Lizzie Neumann, Alexander Mendler, Jan Gertheiss

“…Structural health monitoring (SHM) is increasingly applied in civil engineering. …”
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Cognitive Structure of Randomness by G. I. Berestnev

“…The goal, first outlined in linguistics, the identification of deep cognitive characteristics in the structure of thought about randomness in the Russian and Indo-European linguistic mentality with the involvement of typological data is being realized. …”
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OCCUPATIONAL STRUCTURE OF POVERTY by Tünde-Ilona KELE

“…The main objective of this paper is to present the relationship between poverty, unemployment and education reaching the occupational structure of poverty. In order to understand the interdependence of the three concepts, I have started with the review of the definitions given by renowned specialists in the study of poverty. …”
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Influence of Potting Radius on the Structural Performance and Failure Mechanism of Inserts in Sandwich Structures by Filippos Filippou, Alexis Τ. Kermanidis

“…The methods of stiffness degradation and acoustic emissions (AE) were employed for structural health monitoring to capture real-time data on failure progression, including core buckling, core rupture, and skin delamination. …”
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Analysis of the Exports Structure from the Russian Federation in the light of the Theory of Technological Structures by A. S. Linnikov

“…The state of the modern Russian economy is considered from the point of view of the technological structures concept. On the basis of this theory, the author presents a structural section of the domestic economy from the point of view of each technological structure, as well as a comparative analysis of data on the Russian economy with the performance of the economies of other countries of different technological development levels. …”
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Technological and structural solution for the strengthening of the load-bearing structure of the crusher facility Drmno by Živanović Miloš, Stojičić Ivan, Miljković Nikola, Stefanović Jelena, Jovanović Nikola, Marković Miloš

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Is the real sector structure the determining factor of the financial sector structure of Iran's economy? by Seyedrohollah Ahmadi Hajiabadi

“…Due to the lack of a similar internal study, statistical data for Iran's economy in the period of 1357-1399 was collected and in the first step, using the Gregory-Hansen cointegration test, the hypothesis of the existence of a long-term relationship between the real structure, the financial structure and other control variables have been investigated. …”
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Kernel generalized least squares regression for network-structured data by Edward Antonian, Gareth W. Peters, Michael Chantler

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Discriminant analysis of Gaussian spatial data with exponential covariance structure by Kęstutis Dučinskas

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Mining Local Specialties for Travelers by Leveraging Structured and Unstructured Data by Kai Jiang, Like Liu, Rong Xiao, Nenghai Yu

“…To solve this problem, this paper presents a local specialty mining algorithm, which utilizes both the structured data from local review websites and the unstructured user-generated content (UGC) from community Q&A websites, and travelogues. …”
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Connection between nuclear structure, dissipation, and time in fission data by Caamaño M., Ramos D., Fernández D., Mantovani G., Farget F., Rodríguez-Tajes C., Lemasson A., Rejmund M., Schmitt C., Ackermann D., Álvarez-Pol H., Audouin L., Benlliure J., Biswas S., Casarejos E., Clement E., Cortina D., Delaune O., Derkx X., Dijon A., Doré D., Durand D., Frankland J. D., Fernández-Domínguez B., de France G., Fregeau M. O., Galaviz D., Galiana-Baldó E., Heinz A., Henriques A., Jacquot B., Jurado B., Kim Y. H., Morfouace P., Paradela C., Piot J., Ralet D., Roger T., Salsac M. D., Teubig P., Tsekhanovich I.

“…This seemingly mundane property can be used to obtain information about the energy dissipated during the process and the role of structure in its dynamics. In this paper, the study of the even-odd effect for elasticand transfer-induced fission data is discussed. …”
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Deep Structure of the Middle Urals According to Magnetic and Gravitational Data by Byzov Denis, Martyshko Petr, Fedorova Natalia, Rublev Aleksey

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DATA PREPARATION METHODS FOR RECOVERING THREE-DIMENSIONAL STRUCTURE OF THE SCENE by Sergey Sergeyevich Taranenko, Oleg Fedorovich Kovalev

“…The problem of data preparation to recover the three-dimensional structure of the scene including points, segments, straight lines, etc., using video obtained from a moving camera around a static scene is considered. …”
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Crustal structure of the Ulaanbaatar region, Mongolia according to gravimetric data by B. Buyantogtokh, E. Kh. Turutanov, V. S. Kanaikin

“…It is confirmed that the basement of these depressionshas a block structure. The basement of the Tolskaya basinincludes two depressions, the western and eastern ones.In the western depression, the sediment thickness is 150 m. …”
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Data Transfer Schemes in Rotorcraft Fluid-Structure Interaction Predictions by Young H. You, Deokhwan Na, Sung N. Jung

“…For a CFD (computation fluid dynamics)/CSD (computational structural dynamics) coupling, appropriate data exchange strategy is required for the successful operation of the coupling computation, due to fundamental differences between CFD and CSD analyses. …”
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Crop Yield Prediction: Data Structure and Ai-Powered Methods by V. K. Kalichkin, K. Yu. Maksimovich, O. A. Aleshchenko, V. V. Aleshchenko

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