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Evolutionary Design of Simulator Based on Cellular Automata
Brigant, Vladimír ; Šperka, Svatopluk (referee) ; Mrnuštík, Michal (advisor)
This work describes concept of a cellular automata (CA) simulator, which is able to predict behaviour of a complex spatial system. This prediction is based on available training data and transition rule acquired from regression analysis powered by evolutionary algorithms. Two regression analysis methods (linear and logistic regression) are suggested, implemented and compared on urban growth prediction of Brno city.
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Methods for class prediction with high-dimensional gene expression data
Šilhavá, Jana ; Matula, Petr (referee) ; Železný, Filip (referee) ; Smrž, Pavel (advisor)
Dizertační práce se zabývá predikcí vysokodimenzionálních dat genových expresí. Množství dostupných genomických dat významně vzrostlo v průběhu posledního desetiletí. Kombinování dat genových expresí s dalšími daty nachází uplatnění v mnoha oblastech. Například v klinickém řízení rakoviny (clinical cancer management) může přispět k přesnějšímu určení prognózy nemocí. Hlavní část této dizertační práce je zaměřena na kombinování dat genových expresí a klinických dat. Používáme logistické regresní modely vytvořené prostřednictvím různých regularizačních technik. Generalizované lineární modely umožňují kombinování modelů s různou strukturou dat. V dizertační práci je ukázáno, že kombinování modelu dat genových expresí a klinických dat může vést ke zpřesnění výsledku predikce oproti vytvoření modelu pouze z dat genových expresí nebo klinických dat. Navrhované postupy přitom nejsou výpočetně náročné. Testování je provedeno nejprve se simulovanými datovými sadami v různých nastaveních a následně s~reálnými srovnávacími daty. Také se zde zabýváme určením přídavné hodnoty microarray dat. Dizertační práce obsahuje porovnání příznaků vybraných pomocí klasifikátoru genových expresí na pěti různých sadách dat týkajících se rakoviny prsu. Navrhujeme také postup výběru příznaků, který kombinuje data genových expresí a znalosti z genových ontologií.
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Predikce bankrotu zemědělských podniků
Slavík, Tomáš
Slavík, T. Prediction of bankruptcy of agricultural enterprises. Bachelor thesis. Brno: Mendel University in Brno, 2024. This bachelor thesis deals with the prediction of bankruptcy of agricultural enterprises in fourteen selected EU countries. The main objective is to develop and verify the accuracy of the model for prediction of bankrupt enterprises in the period one, two and three years before bankruptcy. A logistic regression is selected for this purpose. A partial objective is to optimize the cutoff value using the Youden index to enhance the model's performance. The results of the bachelor thesis suggest that created models with the initial cutoff value 0,5 are unsatisfactory in predicting bankrupt enterprises. To improve their ability to classify bankrupt agriculture enterprises, a cutoff point optimization was carried out, which led to a significant improvement in the model's ability to predict enterprises bankruptcy.
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Vliv makroekonomického prostředí na existenci zombie firem
Sedlák, Pavel
The paper focuses on the identification of the influence of selected determinants on the probability of creation of zombie firms in European countries. The theoret-ical part characterizes zombie firms, describes their identification and their con-sequences on economies. It then describes the structure of firms' liabilities and explains the impact of the institutional environment and firm behaviour on their financing. The empirical part of the paper analyses panel data using fixed effects logistic regression to test the impact of microeconomic, macroeconomic and insti-tutional environments on the emergence of zombie firms. The results are statistically significant and robust.
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Predikcia bankrotu lesníckych podnikov
Blihárová, Terézia
Blihárová, T. Bankruptcy prediction within the forestry sector. Bachelor thesis. Brno: Mendel University in Brno, 2023. This bachelor's thesis deals with bankruptcy prediction of companies in the for-estry sector in the EU using the binary logistic regression method. The aim of this thesis is to create bankruptcy models one, two and three years before the bank-ruptcy of companies of the positive group and subsequent verification of the cor-rectness of these models. A partial goal of this thesis is the optimization of the threshold in an effort to obtain the best possible classification capabilities of the models based on the classification of the bankrupt companies. The results section showed that the models with the optimal threshold have the ability to successfully predict the bankruptcy of companies in the forestry sector one and two years be-fore the upcoming bankruptcy. The model with the optimal threshold was able to predict the bankruptcy quite well even three years before the bankruptcy of the company, however, the rate of incorrect classification of active companies was relatively high.
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Analysis of the Causes and Nature of Ethnic Conflicts
Kohout, Jan ; Plechanovová, Běla (advisor) ; Parízek, Michal (referee)
The aim of this thesis is to analyze factors responsible for onset of ethnic conflicts and selected characteristics. By comparing to non-ethnic conflicts it was determined, if there are any differences in onset mechanisms of these two types of conflicts and thus if there is a space for explanatory role of ethnicity as a cause of ethnic conflicts. Selection of examined factors is congruent with the relevant literature and existing analyses and reflects the context of contemporary conflict research. The influence of male unemployment rate, level of Human development index and its inequality-adjusted version, human rights and finally the influence of conflicts in neighbouring countries on the onset of conflict is tested by statistical methods in component analyses. Also the intensity of ethnic and non-ethnic conflicts, war years and HDI are also compared. The comparative style of the research helps to understand the true nature of causes of intrastate conflicts and indicates, that there is no difference between the two types. Empirical character of this thesis is also the reason for assessing it within the context of other quantitative studies of conflict, comparing the results and defining the proper level of analysis for reaching tangible contributions.
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Childlessness in socio-demographic perspective in the Czech Republic
Janotová, Tereza ; Šťastná, Anna (advisor) ; Waldaufová, Eva (referee)
Childlessness in socio-demographic perspective in the Czech Republic Abstract This bachelor's thesis provides an overview of reproductive plans, changes in the timing of motherhood and the situation of voluntary childlessness in the Czech Republic. It analyzes socio- demographic factors that influence reproductive plans of people in the reproductive age born and raised in a dynamically changing democratic society. It relies on Czech data from an extensive international survey, the Generations and Gender Survey. The analysis focuses on the differences in reproductive plans between men and women depending on various factors and utilizes contingency tables and logistic regression methods. The data analysis revealed differences in reproductive plans based on gender, economic situation, education, and identified the main motivators for childlessness as the absence of a suitable partner to start a family, financial circumstances for starting a family, and age. Women showed a higher tendency than men to plan a child-free life. Keywords: childlessness, reproductive plans, logistic regression, Czech Republic
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Bankruptcy Prediction Modelling Small and Medium Enterprises
Shmatova, Valeriia ; Režňáková, Mária (referee) ; Karas, Michal (advisor)
This thesis explores the issue of corporate bankruptcy in the Czech Republic, including its causes and related legal regulation. The theoretical part of the thesis focuses on bankruptcy models and their creation, including the statistical methods used in these models. In the analytical part, the accuracy of selected bankruptcy models from different authors was tested, a new bankruptcy model was created using logistic regression on samples of small and medium-sized Czech and Slovak companies in the manufacturing industry, and the performance of this new model was subsequently compared to others.
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Exercise-based predictors of atrial fibrillation recurrence in patients undergoing catheter ablation.
Mátych, Martin ; Pešl, Martin (referee) ; Hejč, Jakub (advisor)
Atrial fibrillation (AF) is the most frequently treated heart arrhythmia. Radiofrequency catheter ablation is a treatment option with a success rate ranging from 60 % to 80 % for paroxysmal AF. This work aimed to determine parameters associated with AF recurrence to identify high-risk patients. Data from 98 patients who underwent pulmonary vein isolation were analyzed. Out of these patients, 19 experienced AF recurrence. Exercise and echocardiographic parameters differed significantly between the recurrence and non-recurrence groups and were used in regression analysis. Peak oxygen consumption (pVO2) was found to be a strong predictor of AF recurrence after adjusting for gender and age (hazard ratio 0.43). Four parameters were identified as the ideal combination in multivariable analysis: pVO2, septal peak late diastolic mitral annulus velocity, post-exercise systolic blood pressure, and left atrial volume index. These findings highlight the importance of stress and echocardiographic parameters in predicting the success of ablation procedures.
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Regression study of economic indicators and political stability
ŽIŠKA, František
This thesis explores relationships among many different economic indicators and a change of leading party in a government. These relationships or influences maybe small and insignificant, or they can be statistically significant. Firstly, theoretical part explains how economics influence politics and vice versa. Secondly, theoretical part includes all economic indicators used in the analytical part of this thesis with some basic explanations of the indicators and some examples of a development of the said indicators. Next part of the thesis is methodology, where the collection of data is thoroughly explained, and all the analytical tools and practices are described there too. The last part, the practical part, focuses on using the tools mentioned in methodology to find a statistically significant relationship between the economic indicator and the change of presidency and resulting in a statement, which indicators influence elections the most. Apart from that, there is a code in Python which was used to create all the analysis in this paper.
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