Libri sul tema "Stochastic processes with large dimension"

1939-, Tzafestas S. G., and Watanabe Keigo 1952-, eds. Stochastic large-scale engineering systems. M. Dekker, 1992.

Bosq, Denis. Inference and prediction in large dimensions. John Wiley, 2007.

Girko, V. L. Statistical analysis of observations of increasing dimension. Kluwer Academic Publishers, 1995.

G, Kurtz Thomas, ed. Large deviations for stochastic processes. American Mathematical Society, 2006.

Assing, Sigurd. Continuous strong Markov processes in dimension one: A stochastic calculus approach. Springer, 1998.

Wentzell, A. D. Limit Theorems on Large Deviations for Markov Stochastic Processes. Springer Netherlands, 1990. http://dx.doi.org/10.1007/978-94-009-1852-8.

Wentzell, Alexander D. Limit theorems on large deviations for Markov stochastic processes. Kluwer Academic Publishers, 1990.

Wentzell, A. D. Limit Theorems on Large Deviations for Markov Stochastic Processes. Springer Netherlands, 1990.

Vaart, A. W. van der. Statistical estimation in large parameter spaces. CWI, 1987.

A. W. van der Vaart. Statistical estimation in large parameter spaces. Centre for Mathematics and Computer Science, 1988.

Ecole d'été de probabilités de Saint-Flour. (15th 1985). École d'été de probabilités de Saint Flour XV-XVII-1985-87. Edited by Hennequin Paul Louis, Ecole d'été de probabilités de Saint-Flour. (16th : 1986), and Ecole d'été de probabilités de Saint-Flour. (17th : 1987). Springer-Verlag, 1988.

Feng, Zhaoshu. Stability analysis and stabilization synthesis of stochastic large scale systems. Science Press, 1995.

Ecole d'été de probabilités de Saint-Flour (15th-17th 1985-1987). Ecole d'été de probabilités de Saint-Flour XV-XVII, 1985-87. Edited by Diaconis Persi and Hennequin Paul Louis. Springer-Verlag, 1988.

NATO, Advanced Study Institute on Large-Scale Molecular Systems: Quantum and Stochastic Aspects-Beyond the Simple Molecular Picture (1990 Acquafredda di Maratea Italy). Large-scale molecular systems: Quantum and stochastic aspects--beyond the simple molecular picture. Plenum Press, 1991.

O, Seppäläinen Timo, ed. A course on large deviations with an introduction to Gibbs measures. American Mathematical Society, 2015.

Dembo, Amir. Large deviations techniques and applications. Jones and Bartlett, 1993.

Dembo, Amir. Large deviations techniques and applications. 2nd ed. Springer, 1998.

Herrmann, Samuel. Stochastic resonance: A mathematical approach in the small noise limit. American Mathematical Society, 2014.

Mandelbrot, Benoit B. Les objets fractals: Forme, hasard et dimension. 3rd ed. Flammarion, 1989.

1951-, Durrett Richard, American Mathematical Society, Institute of Mathematical Statistics, and Society for Industrial and Applied Mathematics., eds. Particle systems, random media, and large deviations. American Mathematical Society, 1985.

He, Qi. System Identification Using Regular and Quantized Observations: Applications of Large Deviations Principles. Springer New York, 2013.

Fiore, Alessio, and Luigi Provero, eds. La signoria rurale nell’Italia del tardo medioevo. 3 L’azione politica locale. Firenze University Press, 2021. http://dx.doi.org/10.36253/978-88-5518-427-4.

Schehr, Grégory, Alexander Altland, Yan V. Fyodorov, Neil O'Connell, and Leticia F. Cugliandolo, eds. Stochastic Processes and Random Matrices. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780198797319.001.0001.

Girko, V. L. Statistical Analysis of Observations of Increasing Dimension. Springer, 2013.

Girko, V. L. Statistical Analysis of Observations of Increasing Dimension. Springer, 2010.

Kurtz, Thomas G., and Jin Feng. Large Deviations for Stochastic Processes. American Mathematical Society, 2006.

Higle, Julia L., and S. Sen. Stochastic Decomposition: A Statistical Method for Large Scale Stochastic Linear Programming. Springer, 2013.

Higle, Julia L., and S. Sen. Stochastic Decomposition: A Statistical Method for Large Scale Stochastic Linear Programming. Springer London, Limited, 2013.

Assing, Sigurd, and Wolfgang M. Schmidt. Continuous Strong Markov Processes in Dimension One: A Stochastic Calculus Approach. Springer London, Limited, 2006.

Fabbri, Giorgio, Andrzej Święch, Marco Fuhrman, Gianmario Tessitore, and Fausto Gozzi. Stochastic Optimal Control in Infinite Dimension: Dynamic Programming and HJB Equations. Springer, 2018.

Fabbri, Giorgio, Andrzej Święch, Marco Fuhrman, Gianmario Tessitore, and Fausto Gozzi. Stochastic Optimal Control in Infinite Dimension: Dynamic Programming and HJB Equations. Springer, 2017.

Hami, Abdelkhalak El, and Bouchaib Radi. Dynamics of Large Structures and Inverse Problems. Wiley & Sons, Incorporated, John, 2017.

Hami, Abdelkhalak El, and Bouchaib Radi. Dynamics of Large Structures and Inverse Problems. Wiley & Sons, Incorporated, John, 2017.

Hami, Abdelkhalak El, and Bouchaib Radi. Dynamics of Large Structures and Inverse Problems. Wiley & Sons, Incorporated, John, 2017.

Hami, Abdelkhalak El, and Bouchaib Radi. Dynamics of Large Structures and Inverse Problems. Wiley & Sons, Incorporated, John, 2017.

Stochastic Optimization for Large-Scale Machine Learning. Taylor & Francis Group, 2021.

Chauhan, Vinod Kumar. Stochastic Optimization for Large-Scale Machine Learning. Taylor & Francis Group, 2021.

Chauhan, Vinod Kumar. Stochastic Optimization for Large-Scale Machine Learning. CRC Press LLC, 2021.

Chauhan, Vinod Kumar. Stochastic Optimization for Large-Scale Machine Learning. Taylor & Francis Group, 2021.

Nonparametric studies of doubly stochastic Poisson processes, binomial data, and high dimension, low sample size data. 2008.

Large Deviations Techniques And Applications. Springer, 2009.

Sen, Pranab K., and Julio M. Singer. Large Sample Methods in Statistics: An Introduction with Applications. Taylor & Francis Group, 2017.

Sen, Pranab K., and Julio M. Singer. Large Sample Methods in Statistics: An Introduction with Applications. Chapman & Hall/CRC, 1994.

Sen, Pranab K., and Julio M. Singer. Large Sample Methods in Statistics: An Introduction with Applications. Taylor & Francis Group, 2017.

Sen, Pranab K., and Julio M. Singer. Large Sample Methods in Statistics: An Introduction with Applications. Taylor & Francis Group, 2017.

Sen, Pranab K., and Julio M. Singer. Large Sample Methods in Statistics: An Introduction with Applications. Taylor & Francis Group, 2017.

Sen, Pranab K., and Julio M. Singer. Large Sample Methods in Statistics: An Introduction with Applications. Taylor & Francis Group, 2017.

Englander, Janos. Spatial Branching in Random Environments and with Interaction. World Scientific Publishing Co Pte Ltd, 2014.

Zhaoshu, Feng, and Liu Yongqing. Stability Analysis and Stabilization Synthesis of Stoehastic Large Scale Systems. Science Pr, 1999.

Mandelbrot, Benoit B. Fractals: Form, Chance, and Dimension. Echo Point Books and Media, 2020.