Relevant bibliographies by topics / Model switching

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  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
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Academic literature on the topic 'Model switching'

Author: Grafiati
Published: 4 June 2021
Last updated: 11 February 2022

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Journal articles on the topic "Model switching"

1

Ee, Mong-Shan, and Seizo Ikuta. "A SWITCHING MODEL OF DYNAMIC ASSET SELLING PROBLEM." Journal of the Operations Research Society of Japan 50, no. 3 (2007): 233–49. http://dx.doi.org/10.15807/jorsj.50.233.

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Zuniga-Haro, P., and J. M. Ramirez. "SSSC Switching Functions Model." IEEE Transactions on Power Delivery 21, no. 1 (2006): 518–20. http://dx.doi.org/10.1109/tpwrd.2005.860433.

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Nishimura, Kiyoshi, Takaaki Fuchikami, and Kazuhiro Hoshiba. "Ferroelectric switching transient model." Electronics and Communications in Japan (Part II: Electronics) 81, no. 7 (1998): 1–9. http://dx.doi.org/10.1002/(sici)1520-6432(199807)81:7<1::aid-ecjb1>3.0.co;2-n.

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Brailsford, Tim, Richard Heaney, John Powell, and Jing Shi. "Hot and Cold IPO Markets: Identification Using a Regime Switching Model." Multinational Finance Journal 4, no. 1/2 (2000): 35–68. http://dx.doi.org/10.17578/4-1/2-3.

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Böhm, J. "Model Switching in Multiple-Model LQ Controller." IFAC Proceedings Volumes 37, no. 21 (2004): 43–48. http://dx.doi.org/10.1016/s1474-6670(17)30441-x.

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Malyutov, M. B. "Offline fitting Markov switching model." Model Assisted Statistics and Applications 14, no. 3 (2019): 193–213. http://dx.doi.org/10.3233/mas-190461.

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Ishibashi, Yoshihiro, and Makoto Iwata. "The Grain-Restricted Switching Model." Ferroelectrics 433, no. 1 (2012): 41–44. http://dx.doi.org/10.1080/00150193.2012.678107.

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Chernov, A. A., D. R. Islamov, and A. A. Pik'nik. "Non-linear memristor switching model." Journal of Physics: Conference Series 754, no. 10 (2016): 102001. http://dx.doi.org/10.1088/1742-6596/754/10/102001.

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Pekpe, Komi Midzodzi, Gilles Mourot, José Ragot, and Komi Gasso. "Subspace identification of switching model." IFAC Proceedings Volumes 36, no. 16 (2003): 1089–94. http://dx.doi.org/10.1016/s1474-6670(17)34904-2.

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Monti, F., A. Zanini, R. Cordes, and R. Bocanera. "Switching Model Adaptive Predictive Control." IFAC Proceedings Volumes 31, no. 22 (1998): 47–52. http://dx.doi.org/10.1016/s1474-6670(17)35919-0.

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Dissertations / Theses on the topic "Model switching"

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Bansal, Harvir S. "Service switching model, SSM, a model of customer switching behavior in the services industry." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 1997. http://www.collectionscanada.ca/obj/s4/f2/dsk3/ftp04/nq20548.pdf.

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Kaufmann, Sylvia, and Sylvia Frühwirth-Schnatter. "Bayesian Analysis of Switching ARCH Models." Department of Statistics and Mathematics, WU Vienna University of Economics and Business, 2000. http://epub.wu.ac.at/744/1/document.pdf.

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We consider a time series model with autoregressive conditional heteroskedasticity that is subject to changes in regime. The regimes evolve according to a multistate latent Markov switching process with unknown transition probabilities, and it is the constant in the variance process of the innovations that is subject to regime shifts. The joint estimation of the latent process and all model parameters is performed within a Bayesian framework using the method of Markov Chain Monte Carlo simulation. We perform model selection with respect to the number of states and the number of autoregressive
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Sime, Julie-Ann. "Model switching in intelligent training systems." Thesis, Heriot-Watt University, 1994. http://hdl.handle.net/10399/1396.

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Frühwirth-Schnatter, Sylvia. "Model Likelihoods and Bayes Factors for Switching and Mixture Models." Department of Statistics and Mathematics, WU Vienna University of Economics and Business, 2000. http://epub.wu.ac.at/1146/1/document.pdf.

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In the present paper we explore various approaches of computing model likelihoods from the MCMC output for mixture and switching models, among them the candidate's formula, importance sampling, reciprocal importance sampling and bridge sampling. We demonstrate that the candidate's formula is sensitive to label switching. It turns out that the best method to estimate the model likelihood is the bridge sampling technique, where the MCMC sample is combined with an iid sample from an importance density. The importance density is constructed in an unsupervised manner from the MCMC output using a mi
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Frühwirth-Schnatter, Sylvia. "Model Likelihoods and Bayes Factors for Switching and Mixture Models." SFB Adaptive Information Systems and Modelling in Economics and Management Science, WU Vienna University of Economics and Business, 2002. http://epub.wu.ac.at/474/1/document.pdf.

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In the present paper we discuss the problem of estimating model likelihoods from the MCMC output for a general mixture and switching model. Estimation is based on the method of bridge sampling (Meng and Wong, 1996), where the MCMC sample is combined with an iid sample from an importance density. The importance density is constructed in an unsupervised manner from the MCMC output using a mixture of complete data posteriors. Whereas the importance sampling estimator as well as the reciprocal importance sampling estimator are sensitive to the tail behaviour of the importance density, we demonstra
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Einarsson, Valur. "Model checking methods for mode switching systems /." Linköping : Univ, 2000. http://www.bibl.liu.se/liupubl/disp/disp2000/tek652s.htm.

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Frühwirth-Schnatter, Sylvia. "Fully Bayesian Analysis of Switching Gaussian State Space Models." Department of Statistics and Mathematics, WU Vienna University of Economics and Business, 2000. http://epub.wu.ac.at/812/1/document.pdf.

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In the present paper we study switching state space models from a Bayesian point of view. For estimation, the model is reformulated as a hierarchical model. We discuss various MCMC methods for Bayesian estimation, among them unconstrained Gibbs sampling, constrained sampling and permutation sampling. We address in detail the problem of unidentifiability, and discuss potential information available from an unidentified model. Furthermore the paper discusses issues in model selection such as selecting the number of states or testing for the presence of Markov switching heterogeneity. The model l
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Check, Adam. "REGIME SWITCHING AND THE MONETARY ECONOMY." Thesis, University of Oregon, 2016. http://hdl.handle.net/1794/20531.

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For the empirical macroeconomist, accounting for nonlinearities in data series by using regime switching techniques has a long history. Over the past 25 years, there have been tremendous advances in both the estimation of regime switching and the incorporation of regime switching into macroeconomic models. In this dissertation, I apply techniques from this literature to study two topics that are of particular relevance to the conduct of monetary policy: asset bubbles and the Federal Reserve’s policy reaction function. My first chapter utilizes a recently developed Markov-Switching model in ord
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Tissainayagam, Prithiviraj 1967. "Visual tracking : development, performance evaluation, and motion model switching." Monash University, Dept. of Electrical and Computer Systems Engineering, 2001. http://arrow.monash.edu.au/hdl/1959.1/8944.

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Shami, Roland G. (Roland George) 1960. "Bayesian analysis of a structural model with regime switching." Monash University, Dept. of Econometrics and Business Statistics, 2001. http://arrow.monash.edu.au/hdl/1959.1/9277.

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Books on the topic "Model switching"

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Andrews, J. A cognitive model of attention switching. Trinity College Dublin, 1992.

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Engel, Charles. Can the Markov switching model forecast exchange rates? National Bureau of Economic Research, 1992.

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Farmer, Roger E. A. Indeterminacy in a forward looking regime switching model. National Bureau of Economic Research, 2006.

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Farmer, Roger E. A. Indeterminacy in a forward-looking regime-switching model. Federal Reserve Bank of Atlanta, 2006.

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Colombo, Richard. A brand-switching model with implications for marketing strategies. Marketing Science Institute, 1987.

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Colombo, Richard. A brand-switching model with implications for marketing strategies. Marketing Science Institute, 1987.

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Zhang, Weihong. GaAS MESFET large-signal model for switching power amplifiers. National Library of Canada, 1994.

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Padilla, A. Jorge. Dynamic duopoly with consumer switching costs: An overlapping generations model. Nuffield College, 1992.

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Hall, Stephen. Testing a discrete switching disequibrium model of the UK labour market. Bank of England, Economics Division, 1990.

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Yoshioka, Shinji. Is Indonesia a high inflation country?: A Markov regime switching model approach. National Development Planning Agency, 2003.

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Book chapters on the topic "Model switching"

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Vingron, Shimon P. "Catenation Model." In Switching Theory. Springer Berlin Heidelberg, 2004. http://dx.doi.org/10.1007/978-3-662-10174-2_31.

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Ferri, Piero, and Edward Greenberg. "A Regime Switching Model." In Lecture Notes in Economics and Mathematical Systems. Springer Berlin Heidelberg, 1989. http://dx.doi.org/10.1007/978-3-662-00831-7_8.

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López, Toni, Reinhold Elferich, and Eduard Alarcón. "Model Level 1: Piecewise Linear Analytical Switching Model." In Voltage Regulators for Next Generation Microprocessors. Springer New York, 2010. http://dx.doi.org/10.1007/978-1-4419-7560-7_3.

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Awirothananon, Thatphong. "Characteristic of Markov Switching Model: An Autoregressive Model." In Communications in Computer and Information Science. Springer Berlin Heidelberg, 2014. http://dx.doi.org/10.1007/978-3-662-45289-9_32.

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Jia, Baozhu, Guang Ren, and Zhihong Xiu. "Fuzzy Switching Controller for Multiple Model." In Fuzzy Systems and Knowledge Discovery. Springer Berlin Heidelberg, 2005. http://dx.doi.org/10.1007/11539506_125.

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Hanschke, Thomas. "A Model for Planning Switching Networks." In Operations Research Proceedings. Springer Berlin Heidelberg, 1985. http://dx.doi.org/10.1007/978-3-642-70457-4_143.

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Krolzig, Hans-Martin. "The Markov-Switching Vector Autoregressive Model." In Lecture Notes in Economics and Mathematical Systems. Springer Berlin Heidelberg, 1997. http://dx.doi.org/10.1007/978-3-642-51684-9_2.

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Krolzig, Hans-Martin, Massimiliano Marcellino, and Grayham E. Mizon. "A Markov-switching vector equilibrium correction model of the UK labour market." In Advances in Markov-Switching Models. Physica-Verlag HD, 2002. http://dx.doi.org/10.1007/978-3-642-51182-0_5.

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Coe, Patrick J. "Power issues when testing the Markov switching model with the sup likelihood ratio test using U.S. output." In Advances in Markov-Switching Models. Physica-Verlag HD, 2002. http://dx.doi.org/10.1007/978-3-642-51182-0_11.

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Kocijan, Juš, and Roderick Murray-Smith. "Nonlinear Predictive Control with a Gaussian Process Model." In Switching and Learning in Feedback Systems. Springer Berlin Heidelberg, 2005. http://dx.doi.org/10.1007/978-3-540-30560-6_8.

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Conference papers on the topic "Model switching"

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Hofrichter, J., O. Raz, F. Horst, et al. "A fast and comprehensive microdisc laser model applied to all-optical wavelength conversion." In Photonics in Switching. OSA, 2010. http://dx.doi.org/10.1364/ps.2010.ptua2.

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Lopp, Garrett K., and Jeffrey L. Kauffman. "A continuous switching model for piezoelectric state switching methods." In SPIE Smart Structures and Materials + Nondestructive Evaluation and Health Monitoring, edited by Gyuhae Park. SPIE, 2017. http://dx.doi.org/10.1117/12.2260392.

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Chen, Shi-Feng, and Pao-Ann Hsiung. "Landslide prediction with model switching." In 2017 IEEE Conference on Dependable and Secure Computing. IEEE, 2017. http://dx.doi.org/10.1109/desec.2017.8073846.

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Tang, Xiaobin. "Research on Markov-Switching model." In 2011 International Conference on Multimedia Technology (ICMT). IEEE, 2011. http://dx.doi.org/10.1109/icmt.2011.6002578.

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Plander, Ivan, and Michal Stepanovsky. "Multi-physics Model of MOEMS-based Switch for All-Optical Interconnection Networks." In 2007 Photonics in Switching. IEEE, 2007. http://dx.doi.org/10.1109/ps.2007.4300762.

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Ohtake, H., K. Tanaka, and H. O. Wang. "Switching fuzzy model construction and controller design with arbitrary switching planes." In 2006 American Control Conference. IEEE, 2006. http://dx.doi.org/10.1109/acc.2006.1657524.

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Hoesli, Martin, and Jean-Christophe Delfim. "A Robust Regime-Switching Desmoothing Model." In 25th Annual European Real Estate Society Conference. European Real Estate Society, 2018. http://dx.doi.org/10.15396/eres2018_123.

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Yueqing Wang, Zhijie Zhu, Yuling Huang, Qingyou Zhang, and Jianping Ying. "A unification MOSFET switching-off model." In 31st Annual Conference of IEEE Industrial Electronics Society, 2005. IECON 2005. IEEE, 2005. http://dx.doi.org/10.1109/iecon.2005.1568980.

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Sadchikova, Svetlana, Aleksey Son, Vladimir Son, and Son Myong-Sek. "Model of Telecommunication Switching System Design." In 2006 2nd IEEE/IFIP International Conference in Central Asia on Internet. IEEE, 2006. http://dx.doi.org/10.1109/canet.2006.279263.

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Kutbitdinov, S. sh. "Analytical model of digital switching system." In 2006 2nd IEEE/IFIP International Conference in Central Asia on Internet. IEEE, 2006. http://dx.doi.org/10.1109/canet.2006.279264.

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Reports on the topic "Model switching"

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Lubis, Iman. PENDEKATAN MODEL MARKOV SWITCHING PADA PASAR MODAL INDONESIA. Jurnal Madani: Ilmu Pengetahuan, Teknologi, dan Humaniora, 2018. http://dx.doi.org/10.33753/madani.v1i2.22.

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Farmer, Roger E., Daniel Waggoner, and Tao Zha. Indeterminacy in a Forward Looking Regime Switching Model. National Bureau of Economic Research, 2006. http://dx.doi.org/10.3386/w12540.

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Engel, Charles. Can the Markov Switching Model Forecast Exchange Rates? National Bureau of Economic Research, 1992. http://dx.doi.org/10.3386/w4210.

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Ball, Brian L., Ralph C. Smith, Sang-Joo Kim, and Stefan Seelecke. A Ferroelastic Switching Model for Lead Zirconate-Titanate (PZT). Defense Technical Information Center, 2005. http://dx.doi.org/10.21236/ada440134.

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Guidolin, Massimo, and Stuart Hyde. Who Tames the Celtic Tiger? Portfolio Implications from a Multivariate Markov Switching Model. Federal Reserve Bank of St. Louis, 2006. http://dx.doi.org/10.20955/wp.2006.029.

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Buttolph, T. B., L. Pendergraph, and J. R. Broome. The Effects of Gas Switching During Decompression on Decompression Sickness in a Swine Model. Defense Technical Information Center, 1996. http://dx.doi.org/10.21236/ada451465.

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Chen, Fei, Francis Diebold, and Frank Schorfheide. A Markov-Switching Multi-Fractal Inter-Trade Duration Model, with Application to U.S. Equities. National Bureau of Economic Research, 2012. http://dx.doi.org/10.3386/w18078.

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Misas A., Martha, and María Teresa Ramírez-Giraldo. Depressions in the colombian economic growth during the XX century: a Markov switching regime model. Banco de la República, 2005. http://dx.doi.org/10.32468/be.340.

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Lo, Ming Chien, and Jeremy M. Piger. Is the Response of Output to Monetary Policy Asymmetric? Evidence from a Regime-Switching Coefficients Model. Federal Reserve Bank of St. Louis, 2001. http://dx.doi.org/10.20955/wp.2001.022.

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Swallow, G., J. Drake, H. Ishimatsu, and Y. Rekhter. Generalized Multiprotocol Label Switching (GMPLS) User-Network Interface (UNI): Resource ReserVation Protocol-Traffic Engineering (RSVP-TE) Support for the Overlay Model. RFC Editor, 2005. http://dx.doi.org/10.17487/rfc4208.

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