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Relevant bibliographies by topics / Stochastic sources

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Academic literature on the topic 'Stochastic sources'

Author: Grafiati

Published: 28 May 2022

Last updated: 31 July 2025

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Journal articles on the topic "Stochastic sources"

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Igarashi, Sayaka, Shigehiro Sakamoto, Akemi Nishida, Ken Muramatsu, and Tsuyoshi Takada. "ICONE23-1548 STRUCTURAL RESPONSE BY GROUND MOTIONS FROM SOURCES WITH STOCHASTIC CHARACTERISTICS." Proceedings of the International Conference on Nuclear Engineering (ICONE) 2015.23 (2015): _ICONE23–1—_ICONE23–1. http://dx.doi.org/10.1299/jsmeicone.2015.23._icone23-1_252.

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Barchielli, Alberto, and Giancarlo Lupieri. "Photoemissive sources and quantum stochastic calculus." Banach Center Publications 43, no. 1 (1998): 53–62. http://dx.doi.org/10.4064/-43-1-53-62.

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Ruszkowski, Mateusz, and Mitchell C. Begelman. "Circular Polarization from Stochastic Synchrotron Sources." Astrophysical Journal 573, no. 2 (2002): 485–95. http://dx.doi.org/10.1086/340659.

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Wang, Wenjia, and Benjamin Haaland. "Controlling Sources of Inaccuracy in Stochastic Kriging." Technometrics 61, no. 3 (2018): 309–21. http://dx.doi.org/10.1080/00401706.2018.1514328.

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Shyu, M. L., S. C. Chen, and S. H. Rubin. "Stochastic Clustering for Organizing Distributed Information Sources." IEEE Transactions on Systems, Man and Cybernetics, Part B (Cybernetics) 34, no. 5 (2004): 2035–47. http://dx.doi.org/10.1109/tsmcb.2004.833599.

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Song, Doo-Jong. "CATACLYSMIC VARIABLES : SOURCES OF STOCHASTIC GRAVITATIONAL WAVE BACKGROUND." Publications of The Korean Astronomical Society 22, no. 4 (2007): 113–32. http://dx.doi.org/10.5303/pkas.2007.22.4.113.

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Stoica, P., B. Ottersten, M. Viberg, and R. L. Moses. "Maximum likelihood array processing for stochastic coherent sources." IEEE Transactions on Signal Processing 44, no. 1 (1996): 96–105. http://dx.doi.org/10.1109/78.482015.

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Regimbau, T., and V. Mandic. "Astrophysical sources of a stochastic gravitational-wave background." Classical and Quantum Gravity 25, no. 18 (2008): 184018. http://dx.doi.org/10.1088/0264-9381/25/18/184018.

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Schneider, Raffaella, Stefania Marassi, and Valeria Ferrari. "Stochastic backgrounds of gravitational waves from extragalactic sources." Classical and Quantum Gravity 27, no. 19 (2010): 194007. http://dx.doi.org/10.1088/0264-9381/27/19/194007.

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Wu, J.-J., W. Kamleh, D. B. Leinweber, R. D. Young, and J. M. Zanotti. "Accessing high-momentum nucleons with dilute stochastic sources." Journal of Physics G: Nuclear and Particle Physics 45, no. 12 (2018): 125102. http://dx.doi.org/10.1088/1361-6471/aaeb9e.

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Dissertations / Theses on the topic "Stochastic sources"

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Burnley, Victor Scott Zukoski E. E. "Nonlinear combustion instabilities and stochastic sources /." Diss., Pasadena, Calif. : California Institute of Technology, 1996. http://resolver.caltech.edu/CaltechETD:etd-04012005-140017.

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Daly, Peter Michael 1971. "Stochastic matched field processing for localization and nulling of acoustic sources." Thesis, Massachusetts Institute of Technology, 2000. http://hdl.handle.net/1721.1/86618.

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Thesis (Sc.D.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2000.<br>Includes bibliographical references (p. 197-201).<br>by Peter Michael Daly.<br>Sc.D.

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Chen, Zi. "Stochastic Identification of Pollutant Sources in Aquifers by the Ensemble Kalman Filter." Doctoral thesis, Universitat Politècnica de València, 2021. http://hdl.handle.net/10251/160628.

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[ES] Como parte de los métodos de asimilacíon de datos, los métodos basados en conjuntos han ganado popularidad en hidrogeología dada su capacidad para manejar grandes cantidades de datos observados simultáneamente. Recientemente, se ha comenzado a emplear este método para la identificacíon de fuentes de contaminacíon en casos sintéticos. Basándonos en estos trabajos anteriores, hemos dado un paso adelante evaluando su rendimiento en experimentos de tanque de laboratorio. La tesis se puede dividir en cuatro partes. En la primera parte, el filtro de Kalman de conjuntos con reinicio (r-EnKF) se

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Lee, Jong-Hyung. "Analysis and Characterization of Fiber Nonlinearities with Deterministic and Stochastic Signal Sources." Diss., Virginia Tech, 2000. http://hdl.handle.net/10919/26265.

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In this dissertation, various analytical models to characterize fiber nonlinearities have been applied, and the ranges of validity of the models are determined by comparing with numerical results. First, the perturbation approach is used to solve the nonlinear Schrödinger equation, and its range of validity is determined by comparing to the split-step Fourier method. In addition, it is shown mathematically that the perturbation approach is equivalent to the Volterra series approach. Secondly, root-mean-square (RMS) widths both in the time domain and in the frequency domain are modeled. It is

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Zhang, Zhuanfang. "Measuring soil hydraulic properties and stochastic analysis of water movement using line sources." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 1999. http://www.collectionscanada.ca/obj/s4/f2/dsk2/ftp02/NQ40393.pdf.

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Шуда, Ірина Олександрівна, Ирина Александровна Шуда, Iryna Oleksandrivna Shuda та Т. А. Давиденко. "Пригамування стохастичних осциляцій шумами леві". Thesis, Вид-во СумДУ, 2010. http://essuir.sumdu.edu.ua/handle/123456789/6100.

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Happ, Sebastian Verfasser], and Michael [Akademischer Betreuer] [Merz. "Stochastic Claims Reserving under Consideration of Various Different Sources of Information / Sebastian Happ. Betreuer: Michael Merz." Hamburg : Staats- und Universitätsbibliothek Hamburg, 2014. http://d-nb.info/1053811489/34.

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Hu, Huafen. "Risk-conscious design of off-grid solar energy houses." Diss., Atlanta, Ga. : Georgia Institute of Technology, 2009. http://hdl.handle.net/1853/31814.

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Thesis (Ph.D)--Architecture, Georgia Institute of Technology, 2010.<br>Committee Chair: Godfried Augenbroe; Committee Member: Ellis Johnson; Committee Member: Pieter De Wilde; Committee Member: Ruchi Choudhary; Committee Member: Russell Gentry. Part of the SMARTech Electronic Thesis and Dissertation Collection.

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Zahrn, Frederick Craig. "Studies of inventory control and capacity planning with multiple sources." Diss., Atlanta, Ga. : Georgia Institute of Technology, 2009. http://hdl.handle.net/1853/29736.

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Thesis (Ph.D)--Industrial and Systems Engineering, Georgia Institute of Technology, 2010.<br>Committee Co-Chair: John H. Vande Vate; Committee Co-Chair: Shi-Jie Deng; Committee Member: Anton J. Kleywegt; Committee Member: Hayriye Ayhan; Committee Member: Mark E. Ferguson. Part of the SMARTech Electronic Thesis and Dissertation Collection.

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Thiel, Felix. "Disentangling sources of anomalous diffusion." Doctoral thesis, Humboldt-Universität zu Berlin, Mathematisch-Naturwissenschaftliche Fakultät, 2015. http://dx.doi.org/10.18452/17354.

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Zufällige Bewegungen wie Diffusion sind ein allgegenwärtiges Phänomen, anzufinden nicht nur in der Physik. Das Hauptobjekt von Diffusionsmodellen ist oft die mittlere quadratische Verschiebung eines Teilchens, welche für sogenannte normal-diffusive Prozesse linear mit der Zeit anwächst. Anomale Diffusion bezeichnet Prozesse, für welche sie nicht-linear wächst; ein wichtiges Beispiel ist die Bewegung großer Moleküle in biologischen Zellen. Erscheinungen wie schwache Ergodizitätsbrechung sind ebenfalls bei anomaler Diffusion zu finden, und es gibt viele mathematische Modelle zu ihrer Beschreibu

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Books on the topic "Stochastic sources"

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Ziegler, F. Nonlinear Stochastic Dynamic Engineering Systems: IUTAM Symposium Innsbruck/Igls, Austria, June 21-26, 1987. Springer Berlin Heidelberg, 1988.

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Lin, Y. K. Stochastic Approaches in Earthquake Engineering: U.S.-Japan Joint Seminar, May 6-7, 1987, Boca Raton, Florida, USA. Springer Berlin Heidelberg, 1987.

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Geological Survey (U.S.), ed. Modeling approaches for assessing the risk of nonpoint-source contamination of ground water. U.S. Dept. of the Interior, U.S. Geological Survey, 1998.

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George, Christakos, ed. Interdisciplinary public health reasoning and epidemic modelling: The case of Black Death. Springer, 2005.

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Innovative Modellierung und Optimierung von Energiesystemen. Lit, 2009.

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A History of Parametric Statistical Inference from Bernoulli to Fisher, 1713-1935 (Sources and Studies in the History of Mathematics and Physical Sciences). Springer, 2008.

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7

Stochastic Processes And Models In Operations Research: Premier Reference Source. IGI Global, 2016.

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Maggiore, Michele. Gravitational Waves. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780198570899.001.0001.

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A comprehensive and detailed account of the physics of gravitational waves and their role in astrophysics and cosmology. The part on astrophysical sources of gravitational waves includes chapters on GWs from supernovae, neutron stars (neutron star normal modes, CFS instability, r-modes), black-hole perturbation theory (Regge-Wheeler and Zerilli equations, Teukoslky equation for rotating BHs, quasi-normal modes) coalescing compact binaries (effective one-body formalism, numerical relativity), discovery of gravitational waves at the advanced LIGO interferometers (discoveries of GW150914, GW15122

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Ferraro, Kenneth F. Heterogeneity. Oxford University Press, 2017. http://dx.doi.org/10.1093/med/9780190665340.003.0005.

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Gerontologists are intrigued by the astonishing degree of heterogeneity in later life and seek to identify the mechanisms that create or reduce it. Oddly, some fields of recent inquiry emphasize diversity associated with race, sex, and class, while giving scant attention to diversity by age. Gerontologists, by contrast, are vigilant to explore diversity between and within age groups. This chapter delineates some of the sources of heterogeneity in later life, including interindividual and intercohort differences, intraindividual change, non-normative events, and stochastic processes. It also co

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Modeling approaches for assessing the risk of nonpoint-source contamination of ground water. U.S. Dept. of the Interior, U.S. Geological Survey, 1998.

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Book chapters on the topic "Stochastic sources"

1

Nag, Avishek. "Finance Basics and Data Sources." In Stochastic Finance with Python. Apress, 2024. https://doi.org/10.1007/979-8-8688-1052-7_2.

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Yarovaya, Elena, Daria Balashova, and Ivan Khristolyubov. "Branching Walks with a Finite Set of Branching Sources and Pseudo-sources." In Recent Developments in Stochastic Methods and Applications. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-83266-7_11.

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Kim, Kibaek, and Victor M. Zavala. "Large-Scale Stochastic Mixed-Integer Programming Algorithms for Power Generation Scheduling." In Alternative Energy Sources and Technologies. Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-28752-2_18.

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Bisnovatyi-Kogan, G. S. "Stochastic Appearance in Stars and High Energy Sources." In Observational Manifestation of Chaos in Astrophysical Objects. Springer Netherlands, 2002. http://dx.doi.org/10.1007/978-94-010-0247-9_1.

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Schneider, R., V. Ferrari, and S. Matarrese. "Stochastic Backgrounds of Gravitational Waves from Compact Sources." In Recent Developments in General Relativity. Springer Milan, 2000. http://dx.doi.org/10.1007/978-88-470-2113-6_41.

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van Daalen, Silke, and Hal Caswell. "15. Demographic Sources of Variation in Fitness." In Human Evolutionary Demography. Open Book Publishers, 2024. http://dx.doi.org/10.11647/obp.0251.15.

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Heritable variation in fitness is required for natural selection, which makes identification of the sources of variation in fitness a crucial question in evolutionary biology. A neglected source of variance is the demography of the population. Demographic processes can generate a large amount of variance in fitness, but these processes are stochastic and the variance results from the random outcomes of survival, development, and reproduction, and will therefore be non-heritable. To quantify the variance in fitness due to individual stochasticity, the mean and variance of lifetime reproductive

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Ney, Hermann. "Stochastic Modelling of Knowledge Sources in Automatic Speech Recognition." In Classification, Data Analysis, and Data Highways. Springer Berlin Heidelberg, 1998. http://dx.doi.org/10.1007/978-3-642-72087-1_35.

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Abdel-Mawgoud, Hussein, and Salah Kamel. "Stochastic Optimization of Renewable Energy Sources in Distribution Networks." In Algorithms for Intelligent Systems. Springer Nature Singapore, 2023. http://dx.doi.org/10.1007/978-981-99-6645-5_4.

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Boore, David M. "Simulation of Ground Motion Using the Stochastic Method." In Seismic Motion, Lithospheric Structures, Earthquake and Volcanic Sources: The Keiiti Aki Volume. Birkhäuser Basel, 2003. http://dx.doi.org/10.1007/978-3-0348-8010-7_10.

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Resseguier, Valentin, Erwan Hascoët, and Bertrand Chapron. "Random Ocean Swell-Rays: A Stochastic Framework." In Mathematics of Planet Earth. Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-18988-3_16.

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AbstractOriginating from distant storms, swell systems radiate across all ocean basins. Far from their sources, emerging surface waves have low steepness characteristics, with very slow amplitude variations. Swell propagation then closely follows principles of geometrical optics, i.e. the eikonal approximation to the wave equation, with a constant wave period along geodesics, when following a wave packet at its group velocity. The phase averaged evolution of quasi-linear wave fields is then dominated by interactions with underlying current and/or topography changes. Comparable to the propagati

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Conference papers on the topic "Stochastic sources"

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Xue, Feifei, and Yuanyue Guo. "A Study of Stochastic Radiation Sources Based on Metasurfaces and Vortex Waves." In 2024 6th International Conference on Electronic Engineering and Informatics (EEI). IEEE, 2024. http://dx.doi.org/10.1109/eei63073.2024.10696122.

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Islam Wani, Nasir Ul, and Neeraj Gupta. "Evaluation of Uncertainty and Stochastic Modelling of Renewable Energy Sources in Microgrid." In 2025 IEEE 1st International Conference on Smart and Sustainable Developments in Electrical Engineering (SSDEE). IEEE, 2025. https://doi.org/10.1109/ssdee64538.2025.10968229.

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Deng, Fangzhao, Wei Tian, Zhenli Deng, et al. "A Credible Capacity Assessment Method for New Energy Sources Based on Time Series Stochastic Production Simulation." In 2024 Second International Conference on Cyber-Energy Systems and Intelligent Energy (ICCSIE). IEEE, 2024. http://dx.doi.org/10.1109/iccsie61360.2024.10698426.

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Korotkova, Olga. "Design of 3D Stochastic Electromagnetic Sources." In 3D Image Acquisition and Display: Technology, Perception and Applications. OSA, 2018. http://dx.doi.org/10.1364/3d.2018.jm4a.4.

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Chavent, Marie, Hervé Guégan, Vanessa Kuentz, Brigitte Patouille, and Jérôme Saracco. "Pollution sources detection via principal component analysis and rotation." In Recent Advances in Stochastic Modeling and Data Analysis. WORLD SCIENTIFIC, 2007. http://dx.doi.org/10.1142/9789812709691_0067.

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Virtanen, Joni J. P. "Stochastic particle acceleration in parallel relativistic shocks." In ASTROPHYSICAL SOURCES OF HIGH ENERGY PARTICLES AND RADIATION. AIP, 2005. http://dx.doi.org/10.1063/1.2141916.

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Kosowsky, Arthur. "Stochastic gravitational radiation from phase transitions." In Workshop on astrophysical sources for ground-based gravitational wave detectors. AIP, 2001. http://dx.doi.org/10.1063/1.1387311.

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Elshafiy, Ahmed, and Kenneth Rose. "On Stochastic Codebook Generation for Markov Sources." In 2023 Data Compression Conference (DCC). IEEE, 2023. http://dx.doi.org/10.1109/dcc55655.2023.00039.

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Huck, Stephan M., and John Lygeros. "Stochastic localization of sources with convergence guarantees." In 2013 European Control Conference (ECC). IEEE, 2013. http://dx.doi.org/10.23919/ecc.2013.6669538.

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Benediktovitch, Andrei, Stasis Chuchurka, Aliaksei Halavanau, Špela Krušič, and Nina Rohringer. "Modeling of 3D paraxial x-ray superfluorescence based on stochastic differential equations." In Compact EUV & X-ray Light Sources. Optica Publishing Group, 2022. http://dx.doi.org/10.1364/euvxray.2022.ew6a.2.

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Reports on the topic "Stochastic sources"

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Hossain, Niamat Ullah Ibne, Raed Jaradat, Michael Hamilton, Charles Keating, and Simon Goerger. A historical perspective on development of systems engineering discipline : a review and analysis. Engineer Research and Development Center (U.S.), 2021. http://dx.doi.org/10.21079/11681/40259.

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Since its inception, Systems Engineering (SE) has developed as a distinctive discipline, and there has been significant progress in this field in the past two decades. Compared to other engineering disciplines, SE is not affirmed by a set of underlying fundamental propositions, instead it has emerged as a set of best practices to deal with intricacies stemming from the stochastic nature of engineering complex systems and addressing their problems. Since the existing methodologies and paradigms (dominant pat- terns of thought and concepts) of SE are very diverse and somewhat fragmented. This ap

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Cuenca, Janet. Efficiency of Local Governments in Health Service Delivery: A Stochastic Frontier Analysis. Philippine Institute for Development Studies, 2020. https://doi.org/10.62986/dp2020.06.

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The study analyzes the efficiency implications of fiscal decentralization using stochastic frontier analysis (SFA). It uses health expenditure (in per capita real terms) data from local government units (LGUs) as input. The output variables of interest include access to safe water and sanitation, health facility-based delivery, and access to hospital inpatient services. It also uses LGU income and its major components (i.e., own-source revenue and income revenue allotment, in per capita real terms) as covariates, as well as the health expenditure decentralization ratio, to account for fiscal a

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Nobile, F., Q. Ayoul-Guilmard, S. Ganesh, et al. D6.5 Report on stochastic optimisation for wind engineering. Scipedia, 2022. http://dx.doi.org/10.23967/exaqute.2022.3.04.

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This report presents the latest methods of optimisation under uncertainties investigated in the ExaQUte project, and their applications to problems related to civil and wind engineering. The measure of risk throughout the report is the conditional value at risk. First, the reference method is presented: the derivation of sensitivities of the risk measure; their accurate computation; and lastly, a practical optimisation algorithm with adaptive statistical estimation. Second, this method is directly applied to a nonlinear relaxation oscillator (FitzHugh–Nagumo model) with numerical experiments t

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Barry, W. C. Suppression of propagating TE modes in the FNAL antiproton source stochastic beam cooling system. Office of Scientific and Technical Information (OSTI), 1985. http://dx.doi.org/10.2172/5450356.

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Castañeda, Luis Cesar, and Juan E. Pardinas. Sub-national Revenue Mobilization in Mexico. Inter-American Development Bank, 2012. http://dx.doi.org/10.18235/0011423.

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This paper estimates potential Mexican sub-national tax revenues using a stochastic frontier model. The results suggest that states are exploiting their current tax bases, particularly the payroll tax, appropriately. Mexican municipalities, however, have a low rate of tax collection compared to their potential, especially in relation to the property tax, which is their most important source of revenue and relatively simple to collect. Empirical evidence further suggests that tax collection efforts are strongly related to GDP per capita, and that some political economy factors can influence the

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Clark, Todd E., Gergely Ganics, and Elmar Mertens. Constructing fan charts from the ragged edge of SPF forecasts. Federal Reserve Bank of Cleveland, 2022. http://dx.doi.org/10.26509/frbc-wp-202236.

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We develop a model that permits the estimation of a term structure of both expectations and forecast uncertainty for application to professional forecasts such as the Survey of Professional Forecasters (SPF). Our approach exactly replicates a given data set of predictions from the SPF (or a similar forecast source) without measurement error. Our model captures fixed horizon and fixed-event forecasts, and can accommodate changes in the maximal forecast horizon available from the SPF. The model casts a decomposition of multi-period forecast errors into a sequence of forecast updates that may be

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Morales Sarriera, Javier, Tomás Serebrisky, Gonzalo Araya, Cecilia Briceño-Garmendia, and Jordan Schwartz. Benchmarking Container Port Technical Efficiency in Latin America and the Caribbean. Inter-American Development Bank, 2013. http://dx.doi.org/10.18235/0011526.

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We developed a technical efficiency analysis of container ports in Latin America and the Caribbean using an input-oriented stochastic frontier model. We employed a 10-year panel with data on container throughput, port terminal area, berth length, and number of available cranes in 63 ports. The model has three innovations with respect to the available literature: (i) we treated ship-to-shore gantry cranes and mobile cranes separately, in order to account for the higher productivity of the former; (ii) we introduced a binary variable for ports using ships¿ cranes, treated as an additional source

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