Search Results - Probability theory and stochastic process Distribution theory

Spectral expansions of non-self-adjoint generalized Laguerre semigroups by Patie, Pierre, Savov, Mladen

“…We provide the spectral expansion in a weighted Hilbert space of a substantial class of invariant non-self-adjoint and non-local Markov operators which appear in limit theorems for positive-valued Markov processes…”
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Concentration, functional inequalities and isoperimetry : International Workshop on Concentration, Functional Inequalities and Isoperimetry, October 29-November 1, 2009, Florida Atlantic University, Boca Raton, Florida by International Workshop on Concentration, Functional Inequalities and Isoperimetry, Houdré, Christian, Ledoux, Michel, Milman, Emanuel, Milman, Mario

“… The interactions between concentration, isoperimetry and functional inequalities have led to many significant advances in functional analysis and probability theory…”
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Multi-dimensional G-Brownian motion and related stochastic calculus under G-expectation by Peng, Shige

“… . We first study multi-dimensional G -normal distributions. With this nonlinear distribution we can introduce our G -expectation under which the canonical process is a multi-dimensional G -Brownian motion…”
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Stability Problems for Stochastic Models: Theory and Applications

“… Along with research in probability distributions theory, limit theorems of probability theory, stochastic processes, mathematical statistics, and queuing theory, this collection contains papers…”
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Stochastic perspective of industrial distribution network processes by Sheresheva, Marina Y., Kolesnik, Nadezda A.

“… Based on the evolutionary trends in distribution research, we came up with the idea to investigate distribution networks processes using mathematical tools of probability theory…”
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One-dimensional empirical measures, order statistics, and Kantorovich transport distances by Bobkov, Sergey, Ledoux, Michel

“…This work is devoted to the study of rates of convergence of the empirical measures…”
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Stability Problems for Stochastic Models: Theory and Applications II

“…: Limit theorems and stability problems; Asymptotic theory of stochastic processes; Stable distributions and processes…”
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Probability Density Function Control of Frequency Fluctuations in Renewable-Rich Power Systems by Gui, Yonghao, Wang, Hong, Zha, Xiaoran, Xue, Yaosuo

“…The stochastic nature of renewable energy sources (RESs) necessitates treating power system frequency response as a random process with a nonstationary probability density function (PDF…”
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The Role of Random Vorticity Stretching in Tropical Depression Genesis by Fu, Hao, Morgan O’Neill

“…Tropical deep convection plays a key role in the tropical depression stage of tropical cyclogenesis by aggregating vorticity, but no existing theory can depict such a stochastic vorticity aggregation process…”
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Nilspace Factors for General Uniformity Seminorms, Cubic Exchangeability and Limits by Candela, Pablo, Szegedy, Balázs

“…We study a class of measure-theoretic objects that we call…”
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Brownian regularity for the Airy line ensemble, and multi-polymer watermelons in Brownian last passage percolation by Hammond, Alan

“…The Airy line ensemble is a positive-integer indexed system of random continuous curves whose finite dimensional distributions are given by the multi-line Airy process…”
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Symmetric Markov processes, time change, and boundary theory by Chen, Zhenqing, Fukushima, Masatoshi

“…This book gives a comprehensive and self-contained introduction to the theory of symmetric Markov processes and symmetric quasi-regular Dirichlet forms…”
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Unified theory for stochastic modelling of hydroclimatic processes: Preserving marginal distributions, correlation structures, and intermittency by Papalexiou, Simon Michael

“… Hydroclimatic processes come in all “shapes and sizes”. They are characterized by different spatiotemporal correlation structures and probability distributions that can be continuous, mixed-type, discrete or even binary…”
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Study on damage statistical constitutive model and stochastic simulation for warm ice-rich frozen silt by Lai, Yuanming, Li, Jingbo, Li, Qingze

“… A damage statistical constitutive relationship and a stochastic model are proposed based on the probability distributions of parameters and random process theory…”
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Asset price dynamics, volatility, and prediction by Taylor, Stephen J, Taylor, Stephen J

“…This book shows how current and recent market prices convey information about the probability distributions that govern future prices…”
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A Novel Stochastic Framework Based on Cloud Theory and \theta -Modified Bat Algorithm to Solve the Distribution Feeder Reconfiguration by Kavousi-Fard, Abdollah, Niknam, Taher, Fotuhi-Firuzabad, Mahmud

“… with them. In this way, this paper proposes a new stochastic framework based on cloud theory to account the uncertainties associated with multiobjective DFR problem from the reliability point of view…”
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Stochastic dynamics of intermittent pore‐scale particle motion in three‐dimensional porous media: Experiments and theory by Morales, V. L., Dentz, M., Willmann, M., Holzner, M.

“…‐D synthetic sandstones. Particle velocities along streamlines are found to be intermittent and strongly correlated, while their probability density functions are lognormal and nonstationary…”
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Classical Invasive Description of Informationally‐Complete Quantum Processes by Richter, Moritz F., Smirne, Andrea, Strunz, Walter T., Egloff, Dario

“…In classical stochastic theory, the joint probability distributions of a stochastic process obey by definition the Kolmogorov consistency conditions…”
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Dynamics of the Box-Ball System with Random Initial Conditions via Pitman’s Transformation by Croydon, David A., Kato, Tsuyoshi, Sasada, Makiko, Tsujimoto, Satoshi

“… For such a model, Ferrari et al. recently showed the invariance in distribution of Bernoulli product measures with density strictly less than…”
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A Novel Data-Based Stochastic Distribution Control for Non-Gaussian Stochastic Systems by Zhang, Qichun, Wang, Hong

“…This article presents a novel data-based approach to investigate the non-Gaussian stochastic distribution control problem…”
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