National Repository of Grey Literature 655 records found  1 - 10nextend  jump to record: Search took 0.00 seconds. 
Estimator averaging
Plotnikova, Valeriya ; Dvořák, Jiří (advisor) ; Čoupek, Petr (referee)
We investigate general procedure to combine several estimators of the same real parameter in the parametric model. Considering weighted average of initial estimator, where weights are constrained to the sum of one, we obtain the final combined estimator. In that framework, the optimal vector of weights minimises the mean square error, providing better estimator of parameter. Combined es- timator will be computed as the product of vector of weights and the vector of initial estimators of the parameter. This method is frequently used in numerous problems of modern statistics like forecast averaging for time series.
Mobile robot path planning by means of cellular automata
Gofroj, Patrik ; Šoustek, Petr (referee) ; Dvořák, Jiří (advisor)
This thesis describes certain ways of mobile robot path planning. The main concern of this thesis are cellular automata and their usage in this problem of searching of optimal path.
Chess and Artificial Intelligence
Macůrek, Miloslav ; Dvořák, Jiří (referee) ; Matoušek, Radomil (advisor)
This thesis will cover the topic of artificial intelligence algorithms in the game of chess and their implementation in computer chess program. The research contains the basics of the chess game and its history with a focus on computer chess, classical methods in chess programming and basic summary of neural networks and possibilities of their application. Selected algorithms are further implemented in chess program “Beast”.
Real-time path planning
Bartozel, Zdeněk ; Šoustek, Petr (referee) ; Dvořák, Jiří (advisor)
The thesis deals with the path planning and movement of the holonomic robot in a dynamic environment. The aim of this work is implementation of several algorithms based on Rapidly-explored random tree algorithm and their comparison in designed dynamic environment.
Solving Canadian Traveller Problem
Pavlovič, Dávid ; Šoustek, Petr (referee) ; Dvořák, Jiří (advisor)
This thesis deals with Canadian traveller problem. Imagine a traveller that have a map on which every road is associated with time that is needed to get through this road. Hovewer, this map may not be totally reliable, and the time needed to pass through on some of the roads may be different due to bad road conditions, or the pass will be impossible. This thesis deals with type overview of this problem and the solutions. Further, the thesis deals with the description of two applications implemented in Python, which serves on verification of the strategies. The final part contains experiments and comparison of effectiveness of selected strategies.
Modular building system for main parts of CNC machine tool
Dvořák, Jiří ; Pavlík, Jan (referee) ; Marek, Jiří (advisor)
This work deals with the design of a new concept of construction of main parts of machine tools. It is based on the essence of the modular building system and the solution is to use of small elements that will make a whole group. The content of the thesis is focused on the creation of the procedure for the first prototype of the kit. Specific machine is then modeled from a solution.
Markov binomial model
Šuléřová, Natálie ; Hudecová, Šárka (advisor) ; Dvořák, Jiří (referee)
In this thesis we study the Markov chain binomial model, which generalizes the standard binomial distribution. Instead of the sum of independent random vari- ables, we consider the sum of random variables that form a stationary Markov chain. The goal of this thesis is to describe this model along with its proper- ties, such as the expected value, variance and probability generating function. A part of this thesis is dedicated to estimating parameters of this model using the method of moments and the maximum likelihood estimation. The accuracy of the methods is compared in a simulation study and obtained results are dis- cussed. The presented model is then applied on a real dataset based on rate of alcohol-impaired car accidents.
Monte Carlo Potts model
Vlachovský, Karel ; Beneš, Viktor (advisor) ; Dvořák, Jiří (referee)
Potts model is a generalisation of the Ising model which is used in statistical mechanics. Our goal is to sample from the distribution of that model. However, the state space is too large, so we cannot sample from it directly. We will use Markov Chain Monte Carlo methods instead. It means that the markov chain would have Potts distribution as its stationary distribution. We will compare Gibbs sampler, Metropolis algorithm, Swendsen-Wang algorithm and significantly we will introduce a new mixing algorithm. We will show that all these algorithms are uniformly ergodic. We will implement them and show that it is wise to use only mixing algorithm and Swendsen-Wang algorithm for larger parameter of temperature for Potts model. 1
Modernisation between Prague and Kolín
Holovský, Jan ; Jakubec, Ivan (advisor) ; Štemberk, Jan (referee) ; Dvořák, Jiří (referee)
The aim of this dissertation thesis is an analysis of the modernization process during the 1850 - 1938 period in the given region extending from the city of Prague to the regional centre Kolín. The modernization proces is in particular seen in terms of economic history. In the thesis I will analyse demographic and economical development, the building up of the transport, infrastructure, economic elites and partially also some subjects related to democratisation. In addition to the modernization itself, the transformation of the regional structure, mutual relations and development of typologically different settlements will also be assessed. Particular analysis will be done in the frame of the region as well as on selected settlements of Český Brod, Kostelec nad Černými lesy, Kouřim, Pečky and Úvaly. Keywords Modernization / Modernisation, economic, demographic, Region, Urbanization, City, Town, Village, rural, Infrastructure, Elite, Czech, Bohemia
Moment estimation methods for space-time cluster point processes
Kučera, Petr ; Dvořák, Jiří (advisor) ; Beneš, Viktor (referee)
This paper is concerned with estimation of space-time shot-noise Cox process parametric models. We introduce the two-step estimation method, where in the second step we use composite likelihood or Palm likelihood. For the two-step estimation method based on Palm likelihood we prove consistency and asymptotic normality theorem. Finally we compare composite likelihood with Palm likelihood in simulation studies, where we add for comparison minimum contrast method. Results for minimum contrast method are taken from the literature. 1

National Repository of Grey Literature : 655 records found   1 - 10nextend  jump to record:
See also: similar author names
76 DVOŘÁK, Jan
42 DVOŘÁK, Jiří
23 DVOŘÁK, Josef
5 Dvorak, J.
5 Dvořák, J.
28 Dvořák, Jakub
76 Dvořák, Jan
1 Dvořák, Jan Bc.
5 Dvořák, Jaromír
14 Dvořák, Jaroslav
3 Dvořák, Jindřich
1 Dvořák, Jiří Ing.
23 Dvořák, Josef
76 Dvořák, Ján
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