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Stochastic models
Results: 1168

#	Item
661	A tool for construction of stochastic spatio-temporal models assimilated with observational data Add to Reading List Source URL: www.agile-online.org Language: English - Date: 2008-04-02 11:16:28 Monte Carlo methods Estimation theory Robot control Linear filters Computational statistics Particle filter Geographic information system Economic model Ensemble Kalman filter Statistics Applied mathematics Science
662	Microsoft Word - ITLS-WP-1403-paper Add to Reading List Source URL: sydney.edu.au Language: English - Date: 2014-03-20 17:42:57 Operations research Transportation planning Markov models Route assignment Traffic flow Flow network John Glen Wardrop Traffic congestion Queueing model Transport Road transport Stochastic processes
663	Similarity Search on Uncertain Spatio-Temporal Data Johannes Niedermayer1 , Andreas Z¨ufle1 , Tobias Emrich1 , Matthias Renz1 Nikos Mamoulis2 , Lei Chen3 , Hans-Peter Kriegel1 1 Institute for Informatics, Ludwig-Maximil Add to Reading List Source URL: www.dbs.ifi.lmu.de Language: English - Date: 2013-10-18 05:06:14 Hidden Markov model Markov chain Specific Area Message Encoding Stochastic matrix State space Markov models Statistics Probability and statistics
664	A Framework for Inertial Sensor Calibration Using Complex Stochastic Error Models Stebler Y., Guerrier S., Skaloud J., and Victoria-Feser M.-P.** * Add to Reading List Source URL: www.ion-ch.ch Language: English - Date: 2012-03-23 08:22:13 Kalman filter Sensor Stochastic Statistics Robot control Control theory
665	Managing Uncertain Spatio-Temporal Data Thomas Bernecker, Tobias Emrich, Hans-Peter Kriegel, Andreas Zueﬂe Institute for Informatics Ludwig-Maximilians-Universität München Oettingenstr. 67, 80538 München, Germany Add to Reading List Source URL: www.dbs.ifi.lmu.de Language: English - Date: 2011-10-13 07:22:24 Markov models Database theory Markov chain Stochastic process Stochastic Object database Bayesian network Database Uncertain data Statistics Database management systems Statistical models
666	Finance and Economics Discussion Series Divisions of Research & Statistics and Monetary Affairs Federal Reserve Board, Washington, D.C. Bayesian Estimation of Time-Changed Default Intensity Models Add to Reading List Source URL: www.federalreserve.gov Language: English - Date: 2015-02-02 13:08:56 Financial economics Markov chain Maximum likelihood Stochastic volatility Volatility Credit default swap Autoregressive conditional heteroskedasticity Mathematical finance Statistics Mathematical sciences
667	Density Models for default risk Monique Jeanblanc, Université d’Évry; Institut Europlace de Finance Workshop on Financial Derivatives and Risk Management, Fields Institute, 24-28 May[removed]Financial support from Féd Add to Reading List Source URL: www.fields.utoronto.ca Language: English - Date: 2010-06-01 09:20:30 Martingale Stochastic processes Martingale theory Game theory
668	FRAGILITY OF ARBITRAGE AND BUBBLES IN DIFFUSION MODELS Paolo Guasoni, Dublin City University and Boston University ´ Mikl´os Rasonyi, University of Edinburgh Add to Reading List Source URL: www.fields.utoronto.ca Language: English - Date: 2010-01-21 14:52:23 Probability theory Martingale Semimartingale Risk-neutral measure Local martingale Brownian motion Stopping time Wiener process Quadratic variation Statistics Stochastic processes Martingale theory
669	arXiv:cond-mat/9905305v1 [cond-mat.stat-mech] 20 May[removed]Scaling of the distribution of fluctuations of financial market indices Parameswaran Gopikrishnan1 , Vasiliki Plerou1,2 , Lu´ıs A. Nunes Amaral1 , Martin Meyer Add to Reading List Source URL: arxiv.org Language: English - Date: 2008-02-01 04:54:26 Probability theory Mathematical finance Stochastic processes Statistical models Generalized functions Normal distribution Stable distribution Volatility Central limit theorem Mathematical analysis Statistics Probability and statistics
670	Decentralized Bayesian Reinforcement Learning for Online Agent Collaboration A. Rogers1 , N. R. Jennings1 S. McClean4 , G. Parr4 W. T. L. Teacy1 , G. Chalkiadakis2 Add to Reading List Source URL: eprints.soton.ac.uk Language: English - Date: 2012-06-06 11:47:06 Bayesian statistics Stochastic control Markov models Markov decision process Reinforcement learning Conjugate prior Bayesian inference Q-learning Action selection Statistics Dynamic programming Markov processes

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