Relevant bibliographies by topics / Continuous Time Modeling

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Continuous Time Modeling'

Author: Grafiati
Published: 4 June 2021
Last updated: 1 February 2022

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Journal articles on the topic "Continuous Time Modeling"

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Pintelon, R., J. Schoukens, and Y. Rolain. "Box-Jenkins Continuous-Time Modeling." IFAC Proceedings Volumes 33, no. 15 (2000): 193–98. http://dx.doi.org/10.1016/s1474-6670(17)39749-5.

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Pintelon, R., J. Schoukens, and Y. Rolain. "Box–Jenkins continuous-time modeling." Automatica 36, no. 7 (2000): 983–91. http://dx.doi.org/10.1016/s0005-1098(00)00002-9.

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Driver, Charles C., and Manuel C. Voelkle. "Hierarchical Bayesian continuous time dynamic modeling." Psychological Methods 23, no. 4 (2018): 774–99. http://dx.doi.org/10.1037/met0000168.

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Oud, Johan H. L., Henk Folmer, Roberto Patuelli, and Peter Nijkamp. "Continuous-Time Modeling with Spatial Dependence." Geographical Analysis 44, no. 1 (2012): 29–46. http://dx.doi.org/10.1111/j.1538-4632.2011.00834.x.

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Pintelon, Rik, Johan Schoukens, and Patrick Guillaume. "Continuous-Time Noise Modeling From Sampled Data." IEEE Transactions on Instrumentation and Measurement 55, no. 6 (2006): 2253–58. http://dx.doi.org/10.1109/tim.2006.884131.

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Park, Jong-Jin, Gyoo-Seok Choi, In-Ku Park, and Jeong-Jin Kang. "Digital Modeling of a Time delayed Continuous-Time System." Journal of the Institute of Webcasting, Internet and Telecommunication 12, no. 1 (2012): 211–16. http://dx.doi.org/10.7236/jiwit.2012.12.1.211.

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Niu, Mu, Paul G. Blackwell, and Anna Skarin. "Modeling interdependent animal movement in continuous time." Biometrics 72, no. 2 (2016): 315–24. http://dx.doi.org/10.1111/biom.12454.

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Shain, Cory, and William Schuler. "Continuous-time deconvolutional regression for psycholinguistic modeling." Cognition 215 (October 2021): 104735. http://dx.doi.org/10.1016/j.cognition.2021.104735.

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Pintelon, R., and I. Kollar. "On the Frequency Scaling in Continuous-Time Modeling." IEEE Transactions on Instrumentation and Measurement 54, no. 1 (2005): 318–21. http://dx.doi.org/10.1109/tim.2004.838916.

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Schoukens, J. "Modeling of continuous time systems using a discrete time representation." Automatica 26, no. 3 (1990): 579–83. http://dx.doi.org/10.1016/0005-1098(90)90029-h.

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Dissertations / Theses on the topic "Continuous Time Modeling"

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Desmarais, Bruce A. Carsey Thomas M. "Discrete measurement, continuous time and event history modeling." Chapel Hill, N.C. : University of North Carolina at Chapel Hill, 2008. http://dc.lib.unc.edu/u?/etd,1900.

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Thesis (M.A.)--University of North Carolina at Chapel Hill, 2008.<br>Title from electronic title page (viewed Dec. 11, 2008). "... in partial fulfillment of the requirements for the degree of Master of Political Science in the Department of Political Science." Discipline: Political Science; Department/School: Political Science.
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Zhang, Yinglin [Verfasser], and Francesca [Akademischer Betreuer] Biagini. "Insurance modeling in continuous time / Yinglin Zhang ; Betreuer: Francesca Biagini." München : Universitätsbibliothek der Ludwig-Maximilians-Universität, 2018. http://d-nb.info/1164377124/34.

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Korhonen, Mark. "Modeling Continuous Emotional Appraisals of Music Using System Identification." Thesis, University of Waterloo, 2004. http://hdl.handle.net/10012/879.

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The goal of this project is to apply system identification techniques to model people's perception of emotion in music as a function of time. Emotional appraisals of six selections of classical music are measured from volunteers who continuously quantify emotion using the dimensions valence and arousal. Also, features that communicate emotion are extracted from the music as a function of time. By treating the features as inputs to a system and the emotional appraisals as outputs of that system, linear models of the emotional appraisals are created. The models are validated by predictin
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Irshad, Yasir. "On some continuous-time modeling and estimation problems for control and communication." Doctoral thesis, Karlstads universitet, Institutionen för ingenjörsvetenskap och fysik, 2013. http://urn.kb.se/resolve?urn=urn:nbn:se:kau:diva-26129.

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The scope of the thesis is to estimate the parameters of continuous-time models used within control and communication from sampled data with high accuracy and in a computationally efficient way.In the thesis, continuous-time models of systems controlled in a networked environment, errors-in-variables systems, stochastic closed-loop systems, and wireless channels are considered. The parameters of a transfer function based model for the process in a networked control system are estimated by a covariance function based approach relying upon the second order statistical properties of input and out
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Graham, David W. "Continuous-time bandpass second-order sections and their applications in cochlea modeling." Thesis, Georgia Institute of Technology, 2003. http://hdl.handle.net/1853/14872.

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Deschatre, Thomas. "Dependence modeling between continuous time stochastic processes : an application to electricity markets modeling and risk management." Thesis, Paris Sciences et Lettres (ComUE), 2017. http://www.theses.fr/2017PSLED034/document.

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Cette thèse traite de problèmes de dépendance entre processus stochastiques en temps continu. Ces résultats sont appliqués à la modélisation et à la gestion des risques des marchés de l'électricité.Dans une première partie, de nouvelles copules sont établies pour modéliser la dépendance entre deux mouvements Browniens et contrôler la distribution de leur différence. On montre que la classe des copules admissibles pour les Browniens contient des copules asymétriques. Avec ces copules, la fonction de survie de la différence des deux Browniens est plus élevée dans sa partie positive qu'avec une d
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Ikeda, Takuya. "Sparse Optimal Control for Continuous-Time Dynamical Systems." Kyoto University, 2019. http://hdl.handle.net/2433/242441.

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Ramachandran, Arun. "Nonlinearity and noise modeling of operational transconductance amplifiers for continuous time analog filters." Texas A&M University, 2003. http://hdl.handle.net/1969.1/3925.

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A general framework for performance optimization of continuous-time OTA-C (Operational Transconductance Amplifier-Capacitor) filters is proposed. Efficient procedures for evaluating nonlinear distortion and noise valid for any filter of arbitrary order are developed based on the matrix description of a general OTA-C filter model . Since these procedures use OTA macromodels, they can be used to obtain the results significantly faster than transistor-level simulation. In the case of transient analysis, the speed-up may be as much as three orders of magnitude without almost no loss of accuracy. T
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Lingohr, Daniel [Verfasser], and Gernot [Akademischer Betreuer] Müller. "Continuous-Time Autoregressive Processes for Modeling Electricity Prices and Renewable Energies / Daniel Lingohr ; Betreuer: Gernot Müller." Augsburg : Universität Augsburg, 2019. http://d-nb.info/1194312934/34.

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Irshad, Yasir. "Some problems of modeling and parameter estimation in continous-time for control and communication." Licentiate thesis, Karlstads universitet, Avdelningen för fysik och elektroteknik, 2011. http://urn.kb.se/resolve?urn=urn:nbn:se:kau:diva-7128.

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Stochastic system identification is of great interest in the areas of control and communication. In stochastic system identification, a model of a dynamic system is determined based on given inputs and received outputs from the system, where stochastic uncertainties are also involved. The scope of the report is to consider continuous-time models used within control and communication and to estimate the model parameters from sampled data with high accuracy in a computational efficient way. Continuous-time models of systems controlled in a networked environment, stochastic closed-loop systems, a
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Books on the topic "Continuous Time Modeling"

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van Montfort, Kees, Johan H. L. Oud, and Manuel C. Voelkle, eds. Continuous Time Modeling in the Behavioral and Related Sciences. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-77219-6.

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Tavernini, Lucio. Continuous-time modeling and simulation: Using Turbo Pascal and CTMS/TP. Gordon and Breach, 1996.

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David, Bakstein, and SpringerLink (Online service), eds. An Introduction to Continuous-Time Stochastic Processes: Theory, Models, and Applications to Finance, Biology, and Medicine. 2nd ed. Birkhäuser Boston, 2012.

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Continuous time econometric modelling. Oxford University Press, 1990.

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Nowman, K. B. Recent developments in continuous time econometric modelling. University of Essex,Dept. of Economics, 1990.

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Montfort, Kees van, Johan H. L. Oud, and Manuel C. Voelkle. Continuous Time Modeling in the Behavioral and Related Sciences. Springer, 2018.

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Montfort, Kees van, Johan H. L. Oud, and Manuel C. Voelkle. Continuous Time Modeling in the Behavioral and Related Sciences. Springer, 2018.

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Montfort, Kees van, Johan H. L. Oud, and Manuel C. Voelkle. Continuous Time Modeling in the Behavioral and Related Sciences. Springer, 2019.

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Fornari, Fabio, and Antonio Mele. Stochastic Volatility in Financial Markets: Crossing the Bridge to Continuous Time (Dynamic Modeling and Econometrics in Economics and Finance). Springer, 2000.

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Zaitsev, Fedor, and Vladimir Bychkov. Mathematical modeling of electromag-netic and gravitational phenomena by the methodology of continuous media mechanics. LCC MAKS Press, 2021. http://dx.doi.org/10.29003/m2011.978-5-317-06604-8.

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The book of well-known Russian scientists systematically presents a new theoretical approach to studying nature's fundamental phenomena using the hypothesis of the physical vacuum, or the ether, as some environment in which all the processes develop. In the proposed studies, the ether is represented as some one-component continuous media that satisfies generally accepted conservation laws: of matter and momentum. From the appropriate two equations, a number of consequences are obtained to which a physical interpretation is given. For the first time, 150 years after studies of Faraday and Maxwe
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Book chapters on the topic "Continuous Time Modeling"

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Lanchier, Nicolas. "Continuous-time Markov chains." In Stochastic Modeling. Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-50038-6_10.

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Osaki, Shunji. "Continuous-Time Markov Chains." In Applied Stochastic System Modeling. Springer Berlin Heidelberg, 1992. http://dx.doi.org/10.1007/978-3-642-84681-6_6.

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Turin, William. "Continuous Time HMM." In Performance Analysis and Modeling of Digital Transmission Systems. Springer US, 2004. http://dx.doi.org/10.1007/978-1-4419-9070-9_7.

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Kijima, Masaaki. "Continuous-time Markov chains." In Markov Processes for Stochastic Modeling. Springer US, 1997. http://dx.doi.org/10.1007/978-1-4899-3132-0_4.

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Guttorp, Peter. "Continuous time Markov chains." In Stochastic Modeling of Scientific Data. Springer US, 1995. http://dx.doi.org/10.1007/978-1-4899-4449-8_3.

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Register, Andy. "Continuous Time Simulation." In Modeling and Simulation in the Systems Engineering Life Cycle. Springer London, 2015. http://dx.doi.org/10.1007/978-1-4471-5634-5_11.

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Chiarella, Carl, Willi Semmler, Chih-Ying Hsiao, and Lebogang Mateane. "Continuous and Discrete Time Modeling." In Dynamic Modeling and Econometrics in Economics and Finance. Springer Berlin Heidelberg, 2016. http://dx.doi.org/10.1007/978-3-662-49229-1_7.

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Moeller, Dietmar P. F. "Modeling Continuous-Time and Discrete-Time Systems." In Mathematical and Computational Modeling and Simulation. Springer Berlin Heidelberg, 2004. http://dx.doi.org/10.1007/978-3-642-18709-4_1.

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Kulkarni, V. G. "Continuous-Time Markov Models." In Modeling, Analysis, Design, and Control of Stochastic Systems. Springer New York, 1999. http://dx.doi.org/10.1007/978-1-4757-3098-2_6.

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Zhou, Xun Yu. "Markowitz’s World in Continuous Time, and Beyond." In Stochastic Modeling and Optimization. Springer New York, 2003. http://dx.doi.org/10.1007/978-0-387-21757-4_9.

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Conference papers on the topic "Continuous Time Modeling"

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Sandilya, Sathyakama, and R. Bharat Rao. "Continuous-time Bayesian modeling of clinical data." In Proceedings of the 2004 SIAM International Conference on Data Mining. Society for Industrial and Applied Mathematics, 2004. http://dx.doi.org/10.1137/1.9781611972740.57.

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de Medeiros, Jose E. G., George Ungureanu, and Ingo Sander. "An algebra for modeling continuous time systems." In 2018 Design, Automation & Test in Europe Conference & Exhibition (DATE). IEEE, 2018. http://dx.doi.org/10.23919/date.2018.8342126.

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Ashry, Ahmed, and Hassan Aboushady. "Modeling jitter in Continuous-Time sigma-delta modulators." In 2010 IEEE International Behavioral Modeling and Simulation Conference (BMAS 2010). IEEE, 2010. http://dx.doi.org/10.1109/bmas.2010.6156598.

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Juneja, Dushyant. "On Event Driven Modeling of Continuous Time Systems." In 2015 28th International Conference on VLSI Design (VLSID). IEEE, 2015. http://dx.doi.org/10.1109/vlsid.2015.39.

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Größl, Martin. "Modeling dependable systems with continuous time Bayesian networks." In SAC 2015: Symposium on Applied Computing. ACM, 2015. http://dx.doi.org/10.1145/2695664.2695729.

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Belanger, F., X. Cyril, F. Belanger, and X. Cyril. "Continuous linear impulse balance method for real-time simulations of contact dynamics." In Modeling and Simulation Technologies Conference. American Institute of Aeronautics and Astronautics, 1997. http://dx.doi.org/10.2514/6.1997-3670.

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Bo, Tang, Tan Xiaobin, and Yin Baoqun. "Continuous-time Hidden Markov models in Network Simulation." In 2008 IEEE International Symposium on Knowledge Acquisition and Modeling Workshop (KAM 2008 Workshop). IEEE, 2008. http://dx.doi.org/10.1109/kamw.2008.4810577.

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Khatami, Roohallah, Masood Parvania, Pramod Khargonekar, and Akil Narayan. "Continuous-Time Stochastic Modeling and Estimation of Electricity Load." In 2018 IEEE Conference on Decision and Control (CDC). IEEE, 2018. http://dx.doi.org/10.1109/cdc.2018.8619042.

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Saabe, Wissam, Edouard Ngoya, Jacques Sombrin, Geoffroy Soubercaze-Pun, and Luc Lapierre. "Continuous-time modeling of a Traveling-Wave Tube amplifier." In 2015 Integrated Nonlinear Microwave and Millimetre-wave Circuits Workshop (INMMiC). IEEE, 2015. http://dx.doi.org/10.1109/inmmic.2015.7330371.

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Zurada, J. M., and M. J. Kang. "Numerical modeling of continuous-time fully coupled neural networks." In 1991 IEEE International Joint Conference on Neural Networks. IEEE, 1991. http://dx.doi.org/10.1109/ijcnn.1991.170655.

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Reports on the topic "Continuous Time Modeling"

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African Open Science Platform Part 1: Landscape Study. Academy of Science of South Africa (ASSAf), 2019. http://dx.doi.org/10.17159/assaf.2019/0047.

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This report maps the African landscape of Open Science – with a focus on Open Data as a sub-set of Open Science. Data to inform the landscape study were collected through a variety of methods, including surveys, desk research, engagement with a community of practice, networking with stakeholders, participation in conferences, case study presentations, and workshops hosted. Although the majority of African countries (35 of 54) demonstrates commitment to science through its investment in research and development (R&amp;D), academies of science, ministries of science and technology, policies, rec
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