Global ETD Search
Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
Results
Showing 1 to 20 of 1992 for “"Markov"”.
-
Constrained portfolio selection with Markov and non-Markov processes and insiders
Word processed copy. Includes bibliographical references (p. 158-168).
-
Markov Processes With Creation and Annihilation Corresponding to Perturbation of Markov Processes
Made available in DSpace on 2014-12-11T18:23:40Z (GMT). No. of bitstreams: 1 7114844.pdf: 3287330 bytes, checksum: 6a4287872d2e97350ecfb78a7cc39781 (MD5) Previous issue date: 1970
-
Online Reinforcement Learning in Factored Markov Decision Processes and Unknown Markov Games
… has been shown to achieve minimax optimality for Markov decision processes (MDPs) in the tabular case. However, such a model may be too general for some problems where certain structures allow for much more efficient learning. In the first part of this thesis, we consider the factored MDP model, …
-
Approximate solution methods for partially observable Markov and semi-Markov decision processes
… infinite-horizon partially observable Markov and semi-Markov decision processes (POMDP and POSMDP). One of the main contributions of this thesis is a lower cost approximation method for finite-space POMDPs with the average cost criterion, and its extensions to semi-Markov partially …
-
Markov-Analysen unebener Oberflächen
In dieser Arbeit wird die Methode der Markov-Analyse für die Untersuchung und Charakterisierung von Oberflächen-Topographien angepasst und weiterentwickelt. Die Markov-Analyse dient zur Charakterisierung und Beschreibung stochastischer Systeme mithilfe einer Fokker-Planck-Gleichung für die …
-
Markov-based ranking methods
… ranking methods, specifically those that use Markov chains. First, a new method is developed to solve a traditional recruiting problem, and is shown to improve the predictive power of its ranking. Next, modifications are made to an existing method that theoretically improves the reliability, …
-
Generalized Markov branching models
In this thesis, we first considered a modified Markov branching process incorporating both state-independent immigration and resurrection. After establishing the criteria for regularity and uniqueness, explicit expressions for the extinction probability and mean extinction time are presented. The …
-
Aspects of population Markov chain Monte Carlo and reversible jump Markov chain Monte Carlo
This thesis consists ideas of two new population Markov chain Monte Carlo algorithms and an automatic proposal mechanism for the Reversible jump Markov chain Monte Carlo algorithm.
-
Experiments with hidden Markov models
… on the results of our experiments with hidden Markov models, focusing on Markov chains with generative transitions and the Baum-Welch algorithm. We explore generating the hypothesis model in various ways. We use the hypothesis model as the original model. And we investigate the feasibility of …
-
Decoherence of Quantum Markov Systems
… define several types of decoherence of quantum Markov systems based on the original notion introduced by Ph. Blanchard and R. Olkiewicz; then we will give a number of suffiecient conditions for a quantum Markov system to display decoherence, and explain the relation between them.
-
A Markov Capital Budgeting Model
Made available in DSpace on 2014-12-11T21:53:23Z (GMT). No. of bitstreams: 1 7405631.pdf: 5434601 bytes, checksum: 8bbf011253499349a6e83505c955a632 (MD5) Previous issue date: 1973
-
Boundary Theory for Markov Chains
Made available in DSpace on 2014-12-09T22:17:54Z (GMT). No. of bitstreams: 1 7000905.pdf: 3032865 bytes, checksum: fc1221d1aeeecc63651d7c505357f24a (MD5) Previous issue date: 1969
-
Bandits in autoregressive Markov models
Submission published under a 24 month embargo labeled 'Closed Access', the embargo will last until 2026-08-01
-
Causal discovery beyond Markov equivalence
… is on learning causal diagrams beyond Markov equivalence. The baseline assumptions in causal structure learning are the acyclicity of the underlying structure and causal sufficiency, which requires that there are no unobserved confounder variables in the system. Under these assumptions, …
-
Markov random field image modelling
… form of parametric model for the distribution. Markov random fields (MRFs) provide just such a vehicle for modelling the a priori distribution of labels found in images. In particular, this work investigated the suitability of MRF models for modelling a priori information about the distribution …
-
Distributed analysis of Markov chains
… question are state transition systems from which Markov chains can be derived. Both phases of the analysis pipeline are considered: state space generation from a state transition model to form the Markov chain and finding performance information by solving the steady state equations of the Markov …
Page 1 of 100