Academic literature on the topic 'Modèle de Brownian Motion'
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Journal articles on the topic "Modèle de Brownian Motion"
Burdzy, Krzysztof, and David Nualart. "Brownian motion reflected on Brownian motion." Probability Theory and Related Fields 122, no. 4 (April 1, 2002): 471–93. http://dx.doi.org/10.1007/s004400100165.
Full textChernov, N., and D. Dolgopyat. "Brownian Brownian motion. I." Memoirs of the American Mathematical Society 198, no. 927 (2009): 0. http://dx.doi.org/10.1090/memo/0927.
Full textDeutsch, Daniel H. "Brownian motion." Nature 357, no. 6377 (June 1992): 354. http://dx.doi.org/10.1038/357354c0.
Full textParisi, Giorgio. "Brownian motion." Nature 433, no. 7023 (January 2005): 221. http://dx.doi.org/10.1038/433221a.
Full textLavenda, Bernard H. "Brownian Motion." Scientific American 252, no. 2 (February 1985): 70–85. http://dx.doi.org/10.1038/scientificamerican0285-70.
Full textRao, B. V. "Brownian Motion." Resonance 26, no. 1 (January 2021): 89–104. http://dx.doi.org/10.1007/s12045-020-1107-7.
Full textChen, Xia, and Wenbo V. Li. "Limiting Behaviors for Brownian Motion Reflected on Brownian Motion." Methods and Applications of Analysis 9, no. 3 (2002): 377–92. http://dx.doi.org/10.4310/maa.2002.v9.n3.a5.
Full textBurdzy, Krzysztof, and Davar Khoshnevisan. "Brownian motion in a Brownian crack." Annals of Applied Probability 8, no. 3 (August 1998): 708–48. http://dx.doi.org/10.1214/aoap/1028903448.
Full textKlimontovich, Yu L. "Nonlinear Brownian motion." Uspekhi Fizicheskih Nauk 164, no. 8 (1994): 811. http://dx.doi.org/10.3367/ufnr.0164.199408b.0811.
Full textDuarte, Mauricio A. "Spinning Brownian motion." Stochastic Processes and their Applications 125, no. 11 (November 2015): 4178–203. http://dx.doi.org/10.1016/j.spa.2015.06.005.
Full textDissertations / Theses on the topic "Modèle de Brownian Motion"
Ang, Eu-Jin. "Brownian motion queueing models of communications and manufacturing systems." Thesis, Imperial College London, 1998. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.298242.
Full textKarangwa, Innocent. "Comparing South African financial markets behaviour to the geometric Brownian Motion Process." Thesis, University of the Western Cape, 2008. http://etd.uwc.ac.za/index.php?module=etd&action=viewtitle&id=gen8Srv25Nme4_4787_1363778247.
Full textThis study examines the behaviour of the South African financial markets with regards to the Geometric Brownian motion process. It uses the daily, weekly, and monthly stock returns time series of some major securities trading in the South African financial market, more specifically the US dollar/Euro, JSE ALSI Total Returns Index, South African All Bond Index, Anglo American Corporation, Standard Bank, Sasol, US dollar Gold Price , Brent spot oil price, and South African white maize near future. The assumptions underlying the 
Geometric Brownian motion in finance, namely the stationarity, the normality and the independence of stock returns, are tested using both graphical (histograms and normal plots) 
and statistical test (Kolmogorov-Simirnov test, Box-Ljung statistic and Augmented Dickey-Fuller test) methods to check whether or not the Brownian motion as a model for South 
African financial markets holds. The Hurst exponent or independence index is also applied to support the results from the previous test. Theoretically, the independent or Geometric 
Brownian motion time series should be characterised by the Hurst exponent of ½
. A value of a Hurst exponent different from that would indicate the presence of long memory or 
fractional Brownian motion in a time series. The study shows that at least one assumption is violated when the Geometric Brownian motion process is examined assumption by 
assumption. It also reveals the presence of both long memory and random walk or Geometric Brownian motion in the South African financial markets returns when the Hurst index analysis is used and finds that the Currency market is the most efficient of the South African financial markets. The study concludes that although some assumptions underlying the 
rocess are violated, the Brownian motion as a model in South African financial markets can not be rejected. It can be accepted in some instances if some parameters such as the Hurst exponent are added.
Cai, Chunhao. "Analyse statistique de quelques modèles de processus de type fractionnaire." Thesis, Le Mans, 2014. http://www.theses.fr/2014LEMA1030/document.
Full textThis thesis focuses on the statistical analysis of some models of stochastic processes generated by fractional noise in discrete or continuous time.In Chapter 1, we study the problem of parameter estimation by maximum likelihood (MLE) for an autoregressive process of order p (AR (p)) generated by a stationary Gaussian noise, which can have long memory as the fractional Gaussiannoise. We exhibit an explicit formula for the MLE and we analyze its asymptotic properties. Actually in our model the covariance function of the noise is assumed to be known but the asymptotic behavior of the estimator ( rate of convergence, Fisher information) does not depend on it.Chapter 2 is devoted to the determination of the asymptotical optimal input for the estimation of the drift parameter in a partially observed but controlled fractional Ornstein-Uhlenbeck process. We expose a separation principle that allows us toreach this goal. Large sample asymptotical properties of the MLE are deduced using the Ibragimov-Khasminskii program and Laplace transform computations for quadratic functionals of the process.In Chapter 3, we present a new approach to study the properties of mixed fractional Brownian motion (fBm) and related models, based on the filtering theory of Gaussian processes. The results shed light on the semimartingale structure andproperties lead to a number of useful absolute continuity relations. We establish equivalence of the measures, induced by the mixed fBm with stochastic drifts, and derive the corresponding expression for the Radon-Nikodym derivative. For theHurst index H > 3=4 we obtain a representation of the mixed fBm as a diffusion type process in its own filtration and derive a formula for the Radon-Nikodym derivative with respect to the Wiener measure. For H < 1=4, we prove equivalenceto the fractional component and obtain a formula for the corresponding derivative. An area of potential applications is statistical analysis of models, driven by mixed fractional noises. As an example we consider only the basic linear regression setting and show how the MLE can be defined and studied in the large sample asymptotic regime
Lebovits, Joachim. "Stochastic calculus with respect to multi-fractional Brownian motion and applications to finance." Phd thesis, Châtenay-Malabry, Ecole centrale de Paris, 2012. http://tel.archives-ouvertes.fr/tel-00704526.
Full textGraf, Ferdinand. "Exotic Option Pricing in Stochastic Volatility Levy Models and with Fractional Brownian Motion." [S.l. : s.n.], 2007. http://nbn-resolving.de/urn:nbn:de:bsz:352-opus-35340.
Full textBauke, Francisco Conti. "Portadores quentes : modelo browniano /." Rio Claro : [s.n.], 2011. http://hdl.handle.net/11449/91881.
Full textBanca: José Antonio Roversi
Banca: Bernardo Laks
Resumo: Neste trabalho estudamos o modelo do movimento Browniano de uma partícula carregada sob a ação de campos elétrico e magnético, externos e homogêneos, no formalismo de Langevin. Calculamos a energia cinética média através do teorema da flutuação-dissipação e obtivemos uma expressão para a temperatura efetiva das partículas Brownianas em função da temperatura do reservatório e dos campos externos. Esta temperatura efetiva mostrou-se sempre maior que a temperatura do reservatório, o que explica a expressão "portadores quentes". Estudamos essa temperatura efetiva no regime assintótico, ou seja, no estado estacionário atingido em tempos muito longos (quando comparado com o tempo de colisão) e a utilizamos para escrever as equações de transporte em semicondutores, denominadas equações de Shockley generalizadas sendo que incluem nesse caso também a ação do campo magnético. Uma aplicação direta e relevante foi a modelagem para o já conhecido efeito Gunn para portadores assumidos como Brownianos. A temperatura efetiva calculada por nós no regime transiente permitiu estudar também os efeitos do reservatório na relaxação da temperatura efetiva à temperatura terminal (de não equilíbrio e estacionária). Nossos resultados no que diz respeito ao efeito Gunn, embora seja o modelo mais simples de um portador Browniano, mostrou uma surpreendente concordância com resultados experimentais, sugerindo que modelos mais sofisticados devam incluir os elementos apresentados neste estudo
Abstract: We present a Brownian model for a charged particle in a field of forces, in particular, electric and magnetic external homogeneous fields, within the Langevin formalism. We compute the average kinetic energy via the fluctuation dissipation and obtain an expression for the Brownian particle's effective temperature. The latter is a function of the heat bath temperature and both external fields. This effective temperature is always greater than the heat bath temperature, therefore the expression "hot carriers". This effective temperature, in the asymptotic regime, the stationary state at long times (greater than the collision time), is used to write down the transport equations for semiconductors, namely the generalized Shockley equations, now incorporating the magnetic field effect. A direct and relevant application follows: a model for the well known Gunn effect, assuming a Brownian scheme. In the transient regime the computed effective temperature also allow us to probe some features of the heat bath, as the effective temperature relaxes to its terminal stationary value. As for our results in the Gunn effect model, the simplest of all in a Brownian scheme, we obtain a surprisingly good agreement with experimental data, suggesting that more involved models should include our minimal assumptions
Mestre
Bauke, Francisco Conti [UNESP]. "Portadores quentes: modelo browniano." Universidade Estadual Paulista (UNESP), 2011. http://hdl.handle.net/11449/91881.
Full textConselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)
Neste trabalho estudamos o modelo do movimento Browniano de uma partícula carregada sob a ação de campos elétrico e magnético, externos e homogêneos, no formalismo de Langevin. Calculamos a energia cinética média através do teorema da flutuação-dissipação e obtivemos uma expressão para a temperatura efetiva das partículas Brownianas em função da temperatura do reservatório e dos campos externos. Esta temperatura efetiva mostrou-se sempre maior que a temperatura do reservatório, o que explica a expressão “portadores quentes”. Estudamos essa temperatura efetiva no regime assintótico, ou seja, no estado estacionário atingido em tempos muito longos (quando comparado com o tempo de colisão) e a utilizamos para escrever as equações de transporte em semicondutores, denominadas equações de Shockley generalizadas sendo que incluem nesse caso também a ação do campo magnético. Uma aplicação direta e relevante foi a modelagem para o já conhecido efeito Gunn para portadores assumidos como Brownianos. A temperatura efetiva calculada por nós no regime transiente permitiu estudar também os efeitos do reservatório na relaxação da temperatura efetiva à temperatura terminal (de não equilíbrio e estacionária). Nossos resultados no que diz respeito ao efeito Gunn, embora seja o modelo mais simples de um portador Browniano, mostrou uma surpreendente concordância com resultados experimentais, sugerindo que modelos mais sofisticados devam incluir os elementos apresentados neste estudo
We present a Brownian model for a charged particle in a field of forces, in particular, electric and magnetic external homogeneous fields, within the Langevin formalism. We compute the average kinetic energy via the fluctuation dissipation and obtain an expression for the Brownian particle´s effective temperature. The latter is a function of the heat bath temperature and both external fields. This effective temperature is always greater than the heat bath temperature, therefore the expression “hot carriers”. This effective temperature, in the asymptotic regime, the stationary state at long times (greater than the collision time), is used to write down the transport equations for semiconductors, namely the generalized Shockley equations, now incorporating the magnetic field effect. A direct and relevant application follows: a model for the well known Gunn effect, assuming a Brownian scheme. In the transient regime the computed effective temperature also allow us to probe some features of the heat bath, as the effective temperature relaxes to its terminal stationary value. As for our results in the Gunn effect model, the simplest of all in a Brownian scheme, we obtain a surprisingly good agreement with experimental data, suggesting that more involved models should include our minimal assumptions
Mvondo, Bernardin Gael. "Numerical techniques for optimal investment consumption models." University of the Western Cape, 2014. http://hdl.handle.net/11394/4352.
Full textThe problem of optimal investment has been extensively studied by numerous researchers in order to generalize the original framework. Those generalizations have been made in different directions and using different techniques. For example, Perera [Optimal consumption, investment and insurance with insurable risk for an investor in a Levy market, Insurance: Mathematics and Economics, 46 (3) (2010) 479-484] applied the martingale approach to obtain a closed form solution for the optimal investment, consumption and insurance strategies of an individual in the presence of an insurable risk when the insurable risk and risky asset returns are described by Levy processes and the utility is a constant absolute risk aversion. In another work, Sattinger [The Markov consumption problem, Journal of Mathematical Economics, 47 (4-5) (2011) 409-416] gave a model of consumption behavior under uncertainty as the solution to a continuous-time dynamic control problem in which an individual moves between employment and unemployment according to a Markov process. In this thesis, we will review the consumption models in the above framework and will simulate some of them using an infinite series expansion method − a key focus of this research. Several numerical results obtained by using MATLAB are presented with detailed explanations.
Teichmann, Jakob. "Stochastic modeling of Brownian and turbulent coagulation." Doctoral thesis, Technische Universitaet Bergakademie Freiberg Universitaetsbibliothek "Georgius Agricola", 2017. http://nbn-resolving.de/urn:nbn:de:bsz:105-qucosa-220625.
Full textNouri, Suhila Lynn. "Expected maximum drawdowns under constant and stochastic volatility." Link to electronic thesis, 2006. http://www.wpi.edu/Pubs/ETD/Available/etd-050406-151319/.
Full textBooks on the topic "Modèle de Brownian Motion"
Wiersema, Ubbo F. Brownian Motion Calculus. New York: John Wiley & Sons, Ltd., 2008.
Find full textStochastic calculus for fractional Brownian motion and related processes. Berlin: Springer-Verlag, 2008.
Find full textNourdin, Ivan. Selected Aspects of Fractional Brownian Motion. Milano: Springer Milan, 2012.
Find full textQuantization in astrophysics, Brownian motion and supersymmetry: Including articles never before published. Chennai, Tamil Nadu: MathTiger, 2007.
Find full textWeilin, Xiao, ed. Fen shu Bulang yun dong xia gu ben quan zheng ding jia yan jiu: Mo xing yu can shu gu ji. Beijing: Ke xue chu ban she, 2013.
Find full textFroot, Kenneth. Stochastic process switching: Some simple solutions. Cambridge, MA: National Bureau of Economic Research, 1989.
Find full text1972-, Dolgopyat Dmitry, ed. Brownian Brownian motion-I. Providence, R.I: American Mathematical Society, 2009.
Find full text(Yuval), Peres Y., Schramm Oded, and Werner Wendelin 1968-, eds. Brownian motion. Cambridge, UK: Cambridge University Press, 2010.
Find full textBook chapters on the topic "Modèle de Brownian Motion"
Felderhof, B. U., and R. B. Jones. "Orientational Relaxation and Brownian Motion." In Dynamics: Models and Kinetic Methods for Non-equilibrium Many Body Systems, 31–38. Dordrecht: Springer Netherlands, 2000. http://dx.doi.org/10.1007/978-94-011-4365-3_3.
Full textCox, J. T., and R. Durrett. "Nonlinear Voter Models." In Random Walks, Brownian Motion, and Interacting Particle Systems, 189–201. Boston, MA: Birkhäuser Boston, 1991. http://dx.doi.org/10.1007/978-1-4612-0459-6_8.
Full textRamaswami, Vaidyanathan. "A Fluid Introduction to Brownian Motion and Stochastic Integration." In Matrix-Analytic Methods in Stochastic Models, 209–25. New York, NY: Springer New York, 2012. http://dx.doi.org/10.1007/978-1-4614-4909-6_10.
Full textZierke, Erik. "Absorption Probabilities of a Brownian Motion in a Triangular Domain." In Advances in Stochastic Models for Reliability, Quality and Safety, 197–210. Boston, MA: Birkhäuser Boston, 1998. http://dx.doi.org/10.1007/978-1-4612-2234-7_14.
Full textMishura, Yuliya, and Kostiantyn Ralchenko. "Drift Parameter Estimation in the Models Involving Fractional Brownian Motion." In Springer Proceedings in Mathematics & Statistics, 237–68. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-65313-6_10.
Full textShiryaev, Albert N. "Bayesian and Variational Problems of Hypothesis Testing. Brownian Motion Models." In Stochastic Disorder Problems, 277–366. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-01526-8_9.
Full textAl-Kadi, Omar S., Allen Lu, Albert J. Sinusas, and James S. Duncan. "Stochastic Model-Based Left Ventricle Segmentation in 3D Echocardiography Using Fractional Brownian Motion." In Statistical Atlases and Computational Models of the Heart. Atrial Segmentation and LV Quantification Challenges, 77–84. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-12029-0_9.
Full textShiryaev, Albert N. "Basic Formulations and Solutions of Quickest Detection Problems. Continuous Time. Models with Brownian Motion." In Stochastic Disorder Problems, 139–216. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-01526-8_6.
Full textChow, T. S. "Brownian Motion." In Mesoscopic Physics of Complex Materials, 10–24. New York, NY: Springer New York, 2000. http://dx.doi.org/10.1007/978-1-4612-2108-1_2.
Full textBrémaud, Pierre. "Brownian Motion." In Universitext, 443–66. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-40183-2_11.
Full textConference papers on the topic "Modèle de Brownian Motion"
Morozewicz, Aneta, Darya Filatova, and Charles El-Nouty. "Some properties of the integrated fractional Brownian motion." In 2015 20th International Conference on Methods and Models in Automation and Robotics (MMAR ). IEEE, 2015. http://dx.doi.org/10.1109/mmar.2015.7283707.
Full textMorozewicz, Aneta, and Darya Filatova. "On the simulation of sub-fractional Brownian motion." In 2015 20th International Conference on Methods and Models in Automation and Robotics (MMAR ). IEEE, 2015. http://dx.doi.org/10.1109/mmar.2015.7283909.
Full textChang, Shyang. "Fractional Brownian Motion and Its Increments as Undulatory Models." In 2011 5th International Conference on Bioinformatics and Biomedical Engineering (iCBBE). IEEE, 2011. http://dx.doi.org/10.1109/icbbe.2011.5780442.
Full textItami, Teturo. "Controlling Brownian motion applied to macroscopic group robots without mutual communication." In 2014 19th International Conference on Methods & Models in Automation & Robotics (MMAR). IEEE, 2014. http://dx.doi.org/10.1109/mmar.2014.6957477.
Full textMin, Jung Yim, Seok Pil Jang, and Stephen U. S. Choi. "Motion of Nanoparticles in Nanofluids Under an Electric Field." In ASME 2005 International Mechanical Engineering Congress and Exposition. ASMEDC, 2005. http://dx.doi.org/10.1115/imece2005-80139.
Full textLee, Bong Jae, Willard Hanson, and Bumsoo Han. "Plasmon-Enhanced Quantum Dot Fluorescence Induced by Brownian Motion." In ASME 2009 Second International Conference on Micro/Nanoscale Heat and Mass Transfer. ASMEDC, 2009. http://dx.doi.org/10.1115/mnhmt2009-18185.
Full textPashko, Anatolii. "Simulation of telecommunication traffic using statistical models of fractional Brownian motion." In 2017 4th International Scientific-Practical Conference Problems of Infocommunications. Science and Technology (PIC S&T). IEEE, 2017. http://dx.doi.org/10.1109/infocommst.2017.8246429.
Full textNikbakht, Abbas, Omid Abouali, and Goodarz Ahmadi. "3-D Modelling of Brownian Motion of Nano-Particles in Aerodynamic Lenses." In ASME 2006 2nd Joint U.S.-European Fluids Engineering Summer Meeting Collocated With the 14th International Conference on Nuclear Engineering. ASMEDC, 2006. http://dx.doi.org/10.1115/fedsm2006-98488.
Full textBochnacka, Dorota, and Darya Filatova. "A nonparametric estimation method for stochastic differential equation with sub-fractional Brownian motion." In 2017 22nd International Conference on Methods and Models in Automation and Robotics (MMAR). IEEE, 2017. http://dx.doi.org/10.1109/mmar.2017.8046867.
Full textZhang, Dongdong, and Douglas E. Smith. "Finite Element-Based Brownian Dynamics Simulation of Nano-Fiber Suspensions in Nano-Composites Processing Using Monte-Carlo Method." In ASME 2012 International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers, 2012. http://dx.doi.org/10.1115/imece2012-88491.
Full textReports on the topic "Modèle de Brownian Motion"
Adler, Robert J., and Gennady Samorodnitsky. Super Fractional Brownian Motion, Fractional Super Brownian Motion and Related Self-Similar (Super) Processes. Fort Belvoir, VA: Defense Technical Information Center, January 1991. http://dx.doi.org/10.21236/ada274696.
Full textAdler, Robert J., and Gennady Samorodnitsky. Super Fractional Brownian Motion, Fractional Super Brownian Motion and Related Self-Similar (Super) Processes. Fort Belvoir, VA: Defense Technical Information Center, January 1994. http://dx.doi.org/10.21236/ada275124.
Full textTang, J. Non-Markovian quantum Brownian motion of a harmonic oscillator. Office of Scientific and Technical Information (OSTI), February 1994. http://dx.doi.org/10.2172/10118416.
Full textZaevski, Tsvetelin S. Laplace Transforms for the First Hitting Time of a Brownian Motion. "Prof. Marin Drinov" Publishing House of Bulgarian Academy of Sciences, July 2020. http://dx.doi.org/10.7546/crabs.2020.07.05.
Full textYeh, Leehwa. Quantum harmonic Brownian motion in a general environment: A modified phase-space approach. Office of Scientific and Technical Information (OSTI), June 1993. http://dx.doi.org/10.2172/10194997.
Full textMcCurdy, Keith E., Alan C. Stanton, and Wai K. Cheng. Study of Submicron Particle Size Distributions by Laser Doppler Measurement of Brownian Motion. Fort Belvoir, VA: Defense Technical Information Center, February 1986. http://dx.doi.org/10.21236/ada172980.
Full text