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Showing 1 to 20 of 51 for “"transition probability"”.
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The Transition Probability of the Inhomogeneous q-TAZRP
In this thesis we study the transition probability of the q-TAZRP, a special form of the n-particle totally asymmetric zero-range process (TAZRP) on the lattice Z defined by Sasamoto and Wadati in [J. Phys. A, vol. 31 6057--6071 (1998)]. We generalise the result by Korhonen and Lee in [J. Math. …
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The Specification and Sampling Properties of Classical and Bayesian Transition Probability Estimators
Made available in DSpace on 2014-12-08T23:37:43Z (GMT). No. of bitstreams: 1 6808145.pdf: 7581665 bytes, checksum: 5946bcb25f64fcf6fd8963e5d3ccf842 (MD5) Previous issue date: 1967
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Multiple model estimation for linear stochastic hybrid systems with non-homogeneous transition probabilities
… assumption of a constant time-invariant mode transition probability matrix is relaxed. Recent work done in the area of non-Markov jump stochastic hybrid systems is explored, including semi- Markov systems, non-homogeneous transition probability matrices, and continuous-state-dependent mode …
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Robust Control of Networked Control Systems with Random Communication Delays
… Difficulties of obtaining a completely known transition probability matrix, which describes the transitions between the modes of the Markov chain, in real world is acknowledged in this research and some of the elements in the transition probability matrix are allowed to be unknown. In this …
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Effects of dissipative environments on some quantum systems
… of an electron from a helium surface, and the transition probability of the Landau-Zener level crossing.
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Robust decision-making with model uncertainty in aerospace systems
… solving robust Markov Decision Processes with transition probability uncertainty. A Dirichlet prior is used to model the uncertainty in the transition probabilities. This approach uses the first two moments of the Dirichlet to generates samples of the uncertain probabilities and uses these …
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The Effect of China’s Outward Foreign Direct Investment on the Economic Growth of the Visegrád Group
… in state 1. MSDR model also estimates the transition probability of each country from one state to another and provides the expected duration of remaining in each state. The results reveal that the transition probability of remaining in state 2 is high and persistent in Czech Republic, …
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Adaptive Control of Markov Chains: An Optimization Oriented Approach (Queueing Networks, Stochastic Models, Computer)
… a dynamic system modeled as a Markov chain. The transition probability matrix of the Markov chain depends on the control u and also on an unknown parameter (alpha)('o). The unknown parameter belongs to a given finite set A. The performance of the system is measured by a long run average cost …
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An investigation of the natural line shape of the giant dipole resonance.
… for the energy dependence of the reduced transition probability is given by the Breit-Wigner form rather than the Lorentz form of a resonance function. However, the form of the resulting measured cross section is of the Lorentz type. The dependence of the giant resonance width Gamma on the …
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Deterioration Model for Ports in the Republic of Korea using Markov Chain Monte Carlo with Multiple Imputation
… process among states. i.e., in Markov chain, transition among states follows some probability which is called as the transition probability. The key process of developing Markov model is to find this transition probability. This process is called calibration. In this study, the existing …
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Monitoring Markov Dependent Binary Observations with a Log-Likelihood Ratio Based CUSUM Control Chart
… number of parameters and the dimension of the transition probability matrix. In this dissertation, we develop a particular Markov chain structure, the Multilevel Model (MLM), to model the correlation between binary data. The basic idea is to assign a lower probability to observing a 1 when all …
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The Interacting Multiple Models Algorithm with State-Dependent Value Assignment
… in the update step and modifying the transition probability matrix in the mixing step based on the assigned values of different target states. The state-dependent value assignment modifications are shown experimentally to perform better than the normal IMM algorithm in both estimating …
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Extremal effects in rotationally inelastic diffraction
… are explained in terms of a wavelength dependent transition probability, calculated in the semiclassical approximation.
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MODELING THE INFLUENCE OF THE HETEROGENEOUS SUBSTRATE ON THE TRANSPORT OF THE JET FUEL SOLUTE PLUME, KIRTLAND AIR FORCE BASE, ALBUQUERQUE, NEW MEXICO
… was interpolated across the study area using transition probability geostatistics (T-PROGS). High conductivity materials in the travel path resulted in a faster than average breakthrough time while, if low conductivity materials were placed in the travel path, particles were either forced to …
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Strong Magnetic Field Effects and Molecular Processes with Applications to White Dwarfs
<p>Radiative transitions of hydrogenlike atoms in external magnetic fields of strength applicable to magnetic white dwarfs, i.e. B < 10<sup>3</sup> megagauss, have been investigated for field-free principal quantum numbers n < 6. Finite proton mass corrections are included. Relativistic corrections …
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A generalized adversary decision algorithm and analytic solution methods for advise models
… by exploring the state-space and generating the transition probability matrix, numerical solution methods may be applied to solve ADVISE models. Identifying key properties allows the models to be tested for compatibility with alternative solution methods from the literature, enabling additional …
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Effects of dissipative environments on some quantum systems
… of an electron from a helium surface, and the transition probability of the Landau-Zener level crossing. Chapter one contains a general introduction to these physical systems and a brief review of the theoretical methods I shall use. The study of an equilibrium property, the persistent current …
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Matching and compressing sequences of visual hulls
… a view independent 3D pose and calculate the transition probability to any other frame based on similarity of pose. To test our approach, we synthesize new realistic motion by walking through cycles in the graph. Our results are new videos of arbitrary length and viewing direction based on a …
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Switched Markov Jump Linear Systems: Analysis and Control Synthesis
… Markov chains (Markov chains with time-varying transition probabilities), and even fewer authors have considered time-inhomogeneous Markov chains with a priori unknown transition probabilities. This dissertation provides a formal stability and disturbance attenuation analysis for a Markov jump …
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Motion pattern analysis for far-field vehicle surveillance
… the graph structure relating cameras and typical transitions time between cameras, then based on the recovered topology, to learn the traffic patterns(i.e. source/sink, transition probability, etc.), and finally be able to detect unusual events. I will present a weighted statistical method to …
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