Academic literature on the topic 'Local stationary'
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Journal articles on the topic "Local stationary"
Conni, Michele, and Hilda Deborah. "Texture Stationarity Evaluation with Local Wavelet Spectrum." London Imaging Meeting 2020, no. 1 (September 29, 2020): 24–27. http://dx.doi.org/10.2352/issn.2694-118x.2020.lim-20.
Full textGenton, Marc G., and Olivier Perrin. "On a time deformation reducing nonstationary stochastic processes to local stationarity." Journal of Applied Probability 41, no. 1 (March 2004): 236–49. http://dx.doi.org/10.1239/jap/1077134681.
Full textGenton, Marc G., and Olivier Perrin. "On a time deformation reducing nonstationary stochastic processes to local stationarity." Journal of Applied Probability 41, no. 01 (March 2004): 236–49. http://dx.doi.org/10.1017/s0021900200014170.
Full textMoltchanov, D. "Modeling local stationary behavior of Internet traffic." Journal of Communications Software and Systems 4, no. 1 (March 20, 2008): 41. http://dx.doi.org/10.24138/jcomss.v4i1.236.
Full textPitman, Jim. "Cyclically stationary Brownian local time processes." Probability Theory and Related Fields 106, no. 3 (November 4, 1996): 299–329. http://dx.doi.org/10.1007/s004400050066.
Full textDeléamont, P. Y., and D. La Vecchia. "Semiparametric segment M-estimation for locally stationary diffusions." Biometrika 106, no. 4 (September 16, 2019): 941–56. http://dx.doi.org/10.1093/biomet/asz042.
Full textDivine, D. V., J. Polzehl, and F. Godtliebsen. "A propagation-separation approach to estimate the autocorrelation in a time-series." Nonlinear Processes in Geophysics 15, no. 4 (July 23, 2008): 591–99. http://dx.doi.org/10.5194/npg-15-591-2008.
Full textCunderlik, Juraj M., Véronique Jourdain, Taha B. M. J. Quarda, and Bernard Bobée. "Local Non-Stationary Flood-Duration-Frequency Modelling." Canadian Water Resources Journal 32, no. 1 (January 2007): 43–58. http://dx.doi.org/10.4296/cwrj3201043.
Full textFeng, Qi, and Thomas Jech. "Local Clubs, Reflection, and Preserving Stationary Sets." Proceedings of the London Mathematical Society s3-58, no. 2 (March 1989): 237–57. http://dx.doi.org/10.1112/plms/s3-58.2.237.
Full textConnaughton, Colm, Alan C. Newell, and Yves Pomeau. "Non-stationary spectra of local wave turbulence." Physica D: Nonlinear Phenomena 184, no. 1-4 (October 2003): 64–85. http://dx.doi.org/10.1016/s0167-2789(03)00213-6.
Full textDissertations / Theses on the topic "Local stationary"
Engel, Maximilian. "Local phenomena in random dynamical systems : bifurcations, synchronisation, and quasi-stationary dynamics." Thesis, Imperial College London, 2017. http://hdl.handle.net/10044/1/57613.
Full textWells-Day, Benjamin Michael. "Structure of singular sets local to cylindrical singularities for stationary harmonic maps and mean curvature flows." Thesis, University of Cambridge, 2019. https://www.repository.cam.ac.uk/handle/1810/290409.
Full textClark, Daniel Lee Jr. "Locally Optimized Covariance Kriging for Non-Stationary System Responses." Wright State University / OhioLINK, 2016. http://rave.ohiolink.edu/etdc/view?acc_num=wright1464092652.
Full textMayer, Ulrike [Verfasser], and Henryk [Akademischer Betreuer] Zähle. "Functional weak limit theorem for a local empirical process of non-stationary time series and its application to von Mises-statistics / Ulrike Mayer ; Betreuer: Henryk Zähle." Saarbrücken : Saarländische Universitäts- und Landesbibliothek, 2019. http://d-nb.info/119175555X/34.
Full textMayer, Ulrike Verfasser], and Henryk [Akademischer Betreuer] [Zähle. "Functional weak limit theorem for a local empirical process of non-stationary time series and its application to von Mises-statistics / Ulrike Mayer ; Betreuer: Henryk Zähle." Saarbrücken : Saarländische Universitäts- und Landesbibliothek, 2019. http://nbn-resolving.de/urn:nbn:de:bsz:291--ds-281226.
Full textDröge, Janis [Verfasser], Ruth [Akademischer Betreuer] Müller, Ruth [Gutachter] Müller, and Jörn [Gutachter] Lötsch. "Mobile measurements of particulate matter in a car cabin: Local variations, contrasting data from mobile versus stationary measurements and the effect of an opened versus a closed window / Janis Dröge ; Gutachter: Ruth Müller, Jörn Lötsch ; Betreuer: Ruth Müller." Frankfurt am Main : Universitätsbibliothek Johann Christian Senckenberg, 2020. http://d-nb.info/1213349052/34.
Full textTurek, Lukáš. "Časový snímek z obrazu stacionární kamery." Master's thesis, Vysoké učení technické v Brně. Fakulta informačních technologií, 2015. http://www.nusl.cz/ntk/nusl-264954.
Full textPezo, Danilo Verfasser], Jürgen [Akademischer Betreuer] [Franke, and Rainer [Akademischer Betreuer] Dahlhaus. "Local stationarity for spatial data / Danilo Pezo ; Jürgen Franke, Rainer Dahlhaus." Kaiserslautern : Technische Universität Kaiserslautern, 2018. http://d-nb.info/1151120537/34.
Full textSoukarieh, Inass. "Theoretical contribution to the U-processes in Markov and dependent setting : asymptotic and bootstraps." Thesis, Compiègne, 2022. http://www.theses.fr/2022COMP2709.
Full textThe world is producing 2.5 quintillion bytes daily, known as big data. Volume, value, variety, velocity, and veracity define the five characteristics of big data that represent a fundamental complexity for many machine learning algorithms, such as clustering, image recognition, and other modern learning techniques. With this large data, hyperparameter estimations do not take the form of the sample mean (not linear). Instead, they takethe form of average over m-tuples, known as the U-statistic estimator in probabilityand statistics. In this work, we treat the collection of U-statistics, known as the Uprocess,for two types of dependent variables, the Markovian data, and locally stationary random variables. Thus, we have divided our work into two parts to address each type independently.In the first part, we deal with Markovian data. The approach relies on regenerative methods, which essentially involve dividing the sample into independent and identically distributed (i.i.d.) blocks of data, where each block corresponds to the path segments between two visits of an atom called A, forming a renewal sequence. We derive the limiting theory for Harris recurrent Markov chain over uniformly bounded and unbounded classes of functions. We show that the results can be generalized also to the bootstrappe dU statistics. The bootstrap approach bypasses the problems faced with the asymptotic behavior due to the unknown parameters of limiting distribution. Furthermore, the bootstrap technique we use in this thesis is the renewal bootstrap, where the bootstrap samplevis formed by resampling the blocks. Since the non-bootstrapped blocks are independent, most proofs reduce to the i.i.d. case. The main difficulties are related to the randomsize of the resampled blocks, which creates a problem with random stopping times. This problem is degraded by replacing the random stopping time with their expectation. Also, since we resample from a random number of blocks, and the bootstrap equicontinuity can be verified by comparing with the initial process, the weak convergence of the bootstrap U-process must be treated very carefully. We successfully derive the results in the case of the k-Harris Markov chain. We extend all the above results to the case where the degreeof U-statistic grows with the sample size n, with the kernel varying in a class of functions. We provide the uniform limit theory for the renewal bootstrap for the infinite-degree U-process with the help of the decoupling technique combined with symmetrization techniques in addition to the chaining inequality. Remaining in the Markovian setting, we extend the weighted bootstrap empirical processes to a high-dimensional estimation. We consider an exchangeably weighted bootstrap of the general function-indexed empirical U-processes. In the second part of this thesis, dependent data are represented by locally stationary random variables. Propelled by the increasing representation of the data by functionalor curves time series and the non-stationary behavior of the latter, we are interested in the conditional U-process of locally stationary functional time series. More precisely, we investigate the weak convergence of the conditional U-processes in the locally stationary functional mixing data framework. We treat the weak convergence in both caseswhen the class of functions is bounded or unbounded, satisfying some moment conditions. Finally, we extend the asymptotic theory of conditional U-process to the locallystationary functional random field {Xs,An : s ∈ Rn} observed at irregular spaced locations in Rn = [0,An]d ∈ Rd, and include both pure increasing domain and mixed increasing domain. We treat the weak convergence in both cases when the class of functions is boundedor unbounded, satisfying some moment conditions. These results are established underfairly general structural conditions on the classes of functions and the underlying models
Salazar, Duvan Humberto Cataño. "Modelo fatorial com cargas funcionais para séries temporais." Universidade de São Paulo, 2018. http://www.teses.usp.br/teses/disponiveis/45/45133/tde-20032018-090755/.
Full textIn the context of the factor models there are different methodologies to modeling multivariate time series that exhibit a second order non-stationary structure, co-movements and transitions over time. Models with abrupt structural changes and strict restrictions (often unrealistic) in factor loadings, when they are deterministic functions of time, have been proposed in the literature to deal with multivariate series that have these characteristics. In this work, we present a factor model with time-varying loadings continuously to modeling non-stationary time series and a procedure for its estimation that consists of two stages. First, latent factors are estimated using the principal components of the observed series. Second, we treat principal components obtained in first stage as covariate and the functional loadings are estimated by wavelet functions and generalized least squares. Asymptotic properties of the principal components estimators and least squares estimators of the wavelet coefficients are presented. The per- formance of the methodology is illustrated by simulations. An application to the model proposed in the energy spot market of the Nord Pool is presented.
Books on the topic "Local stationary"
Grandmont, Jean-Michel. Local bifurcations and stationary sunspots. Stanford, Calif: Institute for Mathematical Studies in the Social Sciences, Stanford University, 1987.
Find full textConvergence of mobile and stationary next-generation networks. Hoboken, N.J: John Wiley & Sons, 2010.
Find full textIniewski, Krzysztof. Convergence of Mobile and Stationary Next-Generation Networks. Wiley & Sons, Incorporated, John, 2010.
Find full textIniewski, Krzysztof. Convergence of Mobile and Stationary Next-Generation Networks. Wiley & Sons, Limited, John, 2010.
Find full text), San Francisco (Calif, and International Union of Operating Engineers. Local 39 (San Francisco, Calif.), eds. Letter of understanding by and between the City and County of San Francisco and the International Union of Operating Engineers, Stationary Local No. 39 for fiscal years 1987-89. [San Francisco, Calif: s.n., 1987.
Find full textBallot boxes: An account of the local elections being held almost at same time as the municipal elections .. [S.l: s.n.,$18--?], 1986.
Find full textBallot boxes: An account of the local elections being held almost at same time as the municipal elections ... [S.l: s.n., 1986.
Find full textPetersson, Magnus. Denmark and Norway. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780198790501.003.0021.
Full textStates, Echo. Notebook: CHELSEA Style Notebook for the Loyal Fans with 100 Blank Lined Sheets Designed with CHELSEA Logo for His/Her Daily Stationery Journal Set. Independently Published, 2021.
Find full textBook chapters on the topic "Local stationary"
Baccelli, François, and Pierre Brémaud. "Local Aspects of Palm Probability." In Palm Probabilities and Stationary Queues, 21–23. New York, NY: Springer New York, 1987. http://dx.doi.org/10.1007/978-1-4615-7561-0_6.
Full textCastro-Hoyos, C., F. M. Grisales-Franco, J. D. Martínez-Vargas, Carlos D. Acosta-Medina, and Germán Castellanos-Domínguez. "Stationary Signal Separation Using Multichannel Local Segmentation." In Advanced Information Systems Engineering, 183–90. Berlin, Heidelberg: Springer Berlin Heidelberg, 2014. http://dx.doi.org/10.1007/978-3-319-12568-8_23.
Full textBaran, Wojciech, Krystian Kurnik, and Shareif Albasher. "Local Stationary Heat Fields in Fibrous Composites." In Trends in Mathematics, 219–30. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-87502-2_22.
Full textMakowski, Ryszard, and Radoslaw Zimroz. "Application of Schur Filtering for Local Damage Detection in Gearboxes." In Condition Monitoring of Machinery in Non-Stationary Operations, 301–8. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-28768-8_32.
Full textM. Altaher, Alsaidi, and Mohd Tahir Ismail. "Hybrid Local Polynomial Wavelet Shrinkage for Stationary Correlated Data." In Informatics Engineering and Information Science, 262–73. Berlin, Heidelberg: Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-25462-8_23.
Full textNaskrent, Julia, and Jonas Vierschilling. "Encouragement of Local Stationary Retail Trade with the Help of Local Online Marketplaces." In FOM-Edition, 85–102. Wiesbaden: Springer Fachmedien Wiesbaden, 2021. http://dx.doi.org/10.1007/978-3-658-29367-3_5.
Full textTarnev, KH. "Non-Local Regime of Self-Consistency in Stationary Waveguided Discharges." In Advanced Technologies Based on Wave and Beam Generated Plasmas, 501–2. Dordrecht: Springer Netherlands, 1999. http://dx.doi.org/10.1007/978-94-017-0633-9_36.
Full textWang, Zhen, Ji Li, Zijia Ding, and Yanhui Song. "Non-stationary Fault Diagnosis Based on Local-Wave Neural Network." In Lecture Notes in Computer Science, 549–54. Berlin, Heidelberg: Springer Berlin Heidelberg, 2004. http://dx.doi.org/10.1007/978-3-540-28648-6_88.
Full textWacker, Benjamin, and Gert Lube. "A Local Projection Stabilization FEM for the Linearized Stationary MHD Problem." In Lecture Notes in Computational Science and Engineering, 765–74. Cham: Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-10705-9_76.
Full textLeuchter, Sandro, Thomas Partmann, and Lothar Berger. "Mobile and Stationary Sensors for Local Surveillance: System Architecture and Applications." In Intelligence and Security Informatics, 216–25. Berlin, Heidelberg: Springer Berlin Heidelberg, 2008. http://dx.doi.org/10.1007/978-3-540-89900-6_22.
Full textConference papers on the topic "Local stationary"
Arben, Shtuka, Piriac Florent, and Sandjivy Luc. "Local Stationary Modeling for Reservoir Characterization." In 12th International Congress of the Brazilian Geophysical Society & EXPOGEF, Rio de Janeiro, Brazil, 15-18 August 2011. Society of Exploration Geophysicists and Brazilian Geophysical Society, 2011. http://dx.doi.org/10.1190/sbgf2011-277.
Full textZvyagin, Petr, and Gesa Ziemer. "Study of Local Ice Loads Measured at Norströmsgund Lighthouse." In ASME 2017 36th International Conference on Ocean, Offshore and Arctic Engineering. American Society of Mechanical Engineers, 2017. http://dx.doi.org/10.1115/omae2017-62416.
Full textJames, Cyriac, and Hema A. Murthy. "Decoupling non-stationary and stationary components in long range network time series in the context of anomaly detection." In 2012 IEEE 37th Conference on Local Computer Networks (LCN 2012). IEEE, 2012. http://dx.doi.org/10.1109/lcn.2012.6423689.
Full textCherneva, Z., and C. Guedes Soares. "Local Non-Stationary Properties of Wind Wave Groups." In Design and operation For Abnormal Conditions 2. RINA, 2001. http://dx.doi.org/10.3940/rina.aco.2001.9.
Full textKvitko, Alexander. "About local controllability of a nonlinear stationary system." In INTERNATIONAL CONFERENCE OF NUMERICAL ANALYSIS AND APPLIED MATHEMATICS (ICNAAM 2016). Author(s), 2017. http://dx.doi.org/10.1063/1.4992347.
Full textJungen, Sascha, Matteo Ceriotti, Valentin Fitz, Alexander J. Golkowski, and Pedro Jose Marron. "Where are You? Localising Stationary Nodes with Limited Information." In 2019 IEEE 44th Conference on Local Computer Networks (LCN). IEEE, 2019. http://dx.doi.org/10.1109/lcn44214.2019.8990749.
Full textDESVILLETTES, LAURENT, and CHUNJIN LIN. "NON LOCAL THERMODYNAMICAL EQUILIBRIUM LINE RADIATIVE TRANSFER QUASI-STATIONARY APPROXIMATION." In Proceedings of the 14th Conference on WASCOM 2007. WORLD SCIENTIFIC, 2008. http://dx.doi.org/10.1142/9789812772350_0032.
Full textAbbas, Ahmad, and Mohamed Younis. "Interconnecting disjoint network segments using a mix of stationary and mobile nodes." In 2012 IEEE 37th Conference on Local Computer Networks (LCN 2012). IEEE, 2012. http://dx.doi.org/10.1109/lcn.2012.6423631.
Full textYoon, Susik, Jae-Gil Lee, and Byung Suk Lee. "Ultrafast Local Outlier Detection from a Data Stream with Stationary Region Skipping." In KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining. New York, NY, USA: ACM, 2020. http://dx.doi.org/10.1145/3394486.3403171.
Full textLevchunets, Denis, and Ivan Chesanovskyi. "Some aspects of local-base transformation in non-stationary signals processing tasks." In 2015 Second International Scientific-Practical Conference Problems of Infocommunications Science and Technology (PIC S&T). IEEE, 2015. http://dx.doi.org/10.1109/infocommst.2015.7357313.
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