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1	Application of Bootstrap in Approximate Bayesian Computation (ABC) Nyman, Ellinor January 2023 (has links) The ABC algorithm is a Bayesian method which simulates samples from the posterior distribution. In this thesis, the method is applied on both synthetic and observed data of a regression model. Under normal error distribution a conjugate prior and the likelihood function are used in the algorithm. Additionally, a bootstrap method is implemented in a modified algorithm to provide an alternative method, without requiring normal error distribution. The results of both methods are thereafter presented and compared with the analytic posterior under a conjugate prior, to evaluate their performances. Lastly, advantages and possible issues are discussed. ABC Bootstrap Computer intensive methods Bayesian statistics Linear regression Probability Theory and Statistics Sannolikhetsteori och statistik
2	A comparison of logistic regression models with alternative machine learning methods to predict the risk of in-hospital mortality in emergency medical admissions via external validation Faisal, Muhammad, Scally, Andy J., Howes, R., Beatson, K., Richardson, D., Mohammed, Mohammed A. 29 November 2018 (has links) Yes / We compare the performance of logistic regression with several alternative machine learning methods to estimate the risk of death for patients following an emergency admission to hospital based on the patients’ first blood test results and physiological measurements using an external validation approach. We trained and tested each model using data from one hospital (n=24696) and compared the performance of these models in data from another hospital (n=13477). We used two performance measures – the calibration slope and area under the curve (AUC). The logistic model performed reasonably well – calibration slope 0.90, AUC 0.847 compared to the other machine learning methods. Given the complexity of choosing tuning parameters of these methods, the performance of logistic regression with transformations for in-hospital mortality prediction was competitive with the best performing alternative machine learning methods with no evidence of overfitting. / Health Foundation; National Institute for Health Research (NIHR) Yorkshire and Humberside Patient Safety Translational Research Centre (NIHR YHPSTRC) Statistical modelling Classification and prediction Computer intensive methods Modelling healthcare services Electronic health records Databases and data mining
3	Разработка методики интенсивного формирования коммуникативной компетенции на уроках РКИ : магистерская диссертация / Development of the method of intensive formation communicative competence at russian as foreigner classes Аксенова, Л. О., Aksyonova, L. O. January 2022 (has links) Данная выпускная квалификационная работа посвящена разработке методики интенсивного формирования коммуникативной компетенции на уроках РКИ. В работе рассматриваются современные интенсивные методики изучения иностранных языков, выделяются основные, которые стали базой для построения курсов для обучения РКИ. Также сделан акцент на сложностях, с которыми сталкиваются иностранные студенты при изучении русского языка. Проанализирована возможность применения интенсивного курса по отношению к русскому языку. Во второй главе дана теоретическая основа и организация опытно-поисковой работы по формированию коммуникативной компетенции на уроках РКИ. Представлены уроки из разработанной методики и подведены итоги, проанализированы результаты. / This final qualification work is devoted to the development of a methodology for the intensive formation of communicative competence in the lessons of Russian as a foreign language. The paper discusses modern intensive methods of learning foreign languages, highlights the main ones that have become the basis for building courses for teaching Russian as a foreign language. The emphasis is also placed on the difficulties that foreign students face when studying the Russian language. The possibility of applying an intensive course in relation to the Russian language is analyzed. The second chapter gives the theoretical basis and organization of experimental and search work on the formation of communicative competence in the lessons of Russian as a foreign language. The lessons from the developed methodology are presented and the results are summed up, the results are analyzed. ИНТЕНСИВНЫЕ МЕТОДИКИ ИНОСТРАННЫЕ ЯЗЫКИ МЕТОД ПОГРУЖЕНИЯ ГИПНОПЕДИЯ РИТМОПЕДИЯ РИТМОПЕДИЯ ЭКСПРЕСС-МЕТОД ИНТЕЛЛ-МЕТОД MASTER'S THESIS COMMUNICATIVE COMPETENCE INTENSIVE METHODS RUSSIAN AS A FOREIGN LANGUAGE FOREIGN LANGUAGES SUGGESTOPEDIC METHOD EMOTIONAL-SEMANTIC METHOD IMMERSION METHOD HYPNOPEDIA RHYTHMOPEDIA RELAXOPEDIA EXPRESS METHOD INTEL METHOD

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Application of Bootstrap in Approximate Bayesian Computation (ABC)

A comparison of logistic regression models with alternative machine learning methods to predict the risk of in-hospital mortality in emergency medical admissions via external validation