Results 21 to 30 of about 103,535 (312)
Geometric branching reproduction Markov processes
We present a model of a continuous-time Markov branching process with the infinitesimal generating function defined by the geometric probability distribution.
Assen Tchorbadjieff, Penka Mayster
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Markov and Semi-Markov Chains, Processes, Systems, and Emerging Related Fields
Probability resembles the ancient Roman God Janus since, like Janus, probability also has a face with two different sides, which correspond to the metaphorical gateways and transitions between the past and the future [...]
P.-C.G. Vassiliou, Andreas C. Georgiou
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Background. In the conditions of modern military conflicts, the problem of effective control of large groups of robots is actualized. The large amount of data associated with the operation of robotic systems (RC) determines the existence of ...
S.V. Ivanov +3 more
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Stochastic monotonicity and duality for one-dimensional Markov processes [PDF]
The theory of monotonicity and duality is developed for general one-dimensional Feller processes, extending the approach from [11]. Moreover it is shown that local monotonicity conditions (conditions on the Lévy kernel) are sufficient to prove the well-
Kolokoltsov, V. N. (Vasiliĭ Nikitich)
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Controlled Discrete-Time Semi-Markov Random Evolutions and Their Applications
In this paper, we introduced controlled discrete-time semi-Markov random evolutions. These processes are random evolutions of discrete-time semi-Markov processes where we consider a control. applied to the values of random evolution.
Anatoliy Swishchuk, Nikolaos Limnios
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Markov Processes in Data Center Networks
A data center network is an important infrastructure in various applications of modern information technologies. Data centers store files with useful information, but the lifetime of these data centers is limited.
Fan-Qi Ma, Rui-Na Fan
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Synchronizing Objectives for Markov Decision Processes [PDF]
We introduce synchronizing objectives for Markov decision processes (MDP). Intuitively, a synchronizing objective requires that eventually, at every step there is a state which concentrates almost all the probability mass.
Mahsa Shirmohammadi +2 more
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Nonlinear Markov semigroups and interacting Lévy type processes [PDF]
Semigroups of positivity preserving linear operators on measures of a measurable space X describe the evolutions of probability distributions of Markov processes on X.
Kolokoltsov, V. N. (Vasiliĭ Nikitich)
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The Lévy–Khintchine type operators with variable Lipschitz continuous coefficients generate linear or nonlinear Markov processes and semigroups [PDF]
Ito's construction of Markovian solutions to stochastic equations driven by a Lévy noise is extended to nonlinear distribution dependent integrands aiming at the effective construction of linear and nonlinear Markov semigroups and the corresponding ...
Kolokoltsov, V. N. (Vasiliĭ Nikitich)
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Abstraction-Based Planning for Uncertainty-Aware Legged Navigation
This article addresses the problem of temporal-logic-based planning for bipedal robots in uncertain environments. We first propose an Interval Markov Decision Process abstraction of bipedal locomotion (IMDP-BL). Motion perturbations from multiple sources
Jesse Jiang, Samuel Coogan, Ye Zhao
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