Libri sul tema "Stochastic processes with large dimension"

1939-, Tzafestas S. G., e Watanabe Keigo 1952-, a cura di. Stochastic large-scale engineering systems. New York: M. Dekker, 1992.

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

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

G, Kurtz Thomas, a cura di. Large deviations for stochastic processes. Providence, R.I: American Mathematical Society, 2006.

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

Wentzell, A. D. Limit Theorems on Large Deviations for Markov Stochastic Processes. Dordrecht: 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. Dordrecht: Kluwer Academic Publishers, 1990.

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

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

A. W. van der Vaart. Statistical estimation in large parameter spaces. Amsterdam, Netherlands: 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. A cura di Hennequin Paul Louis, Ecole d'été de probabilités de Saint-Flour. (16th : 1986) e Ecole d'été de probabilités de Saint-Flour. (17th : 1987). Berlin: Springer-Verlag, 1988.

Feng, Zhaoshu. Stability analysis and stabilization synthesis of stochastic large scale systems. Beijing: 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. A cura di Diaconis Persi e Hennequin Paul Louis. Berlin: 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. New York: Plenum Press, 1991.

O, Seppäläinen Timo, a cura di. A course on large deviations with an introduction to Gibbs measures. Providence, Rhode Island: American Mathematical Society, 2015.

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

Dembo, Amir. Large deviations techniques and applications. 2^a ed. New York: Springer, 1998.

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

Mandelbrot, Benoit B. Les objets fractals: Forme, hasard et dimension. 3^a ed. [Paris]: Flammarion, 1989.

1951-, Durrett Richard, American Mathematical Society, Institute of Mathematical Statistics e Society for Industrial and Applied Mathematics., a cura di. Particle systems, random media, and large deviations. Providence, R.I: American Mathematical Society, 1985.

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

Fiore, Alessio, e Luigi Provero, a cura di. La signoria rurale nell’Italia del tardo medioevo. 3 L’azione politica locale. Florence: 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 e Leticia F. Cugliandolo, a cura di. 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., e Jin Feng. Large Deviations for Stochastic Processes. American Mathematical Society, 2006.

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

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

Assing, Sigurd, e 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 e Fausto Gozzi. Stochastic Optimal Control in Infinite Dimension: Dynamic Programming and HJB Equations. Springer, 2018.

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

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

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

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

Hami, Abdelkhalak El, e 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., e Julio M. Singer. Large Sample Methods in Statistics: An Introduction with Applications. Taylor & Francis Group, 2017.

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

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

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

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

Sen, Pranab K., e 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, e 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.