Essays about: "Conditional probability"

Showing result 16 - 20 of 55 essays containing the words Conditional probability.

  1. 16. Executive Constraints and Civil Conflict Onset

    University essay from Uppsala universitet/Institutionen för freds- och konfliktforskning

    Author : Joshua Krusell; [2020]
    Keywords : civil conflict; political science; bayesian;

    Abstract : Do institutional constraints on a regime's executive decrease the likelihood of civil conflict onset? An unconstrained executive is free to loot state resources undermining the state's capacity to effectively deal with nascent rebellions, and may be more likely to engage in violent repression, especially in the form of indiscriminate violence. This can encourage political grievances, lead to a loss of legitimacy for the regime, and provide the opportunity for would be rebel groups to attract new members by offering protection against government violence. READ MORE

  2. 17. Hyperactive Behavior and Participation in Social Play in a Swedish Preschool Context : A Cross-Sectional Study

    University essay from Jönköping University/HLK, CHILD

    Author : Cristina Pozneanscaia; [2020]
    Keywords : Hyperactivity; Hyperactive behavior; Behavior problems; Play; Social play; Participation; En- gagement; Early Childhood Education; Preschool; Questionnaire data; The Strengths and Difficulties Questionnaire SDQ ; Observations; Children Observations in Preschool COP ; Iperattività; Comportamento iperattivo; Problemi comportamentali; Gioco; Gioco sociale; Partecipazione; Coinvolgimento; Educazione della prima infanzia; Scuola materna; Dati del questionario; Osservazioni; Гиперактивность; Гиперактивное поведение; Проблемы поведения; Игра; Социальная игра; Участие; Вовлеченность; Обучение детей дошкольного возраста; Дошкольные учреждения; Данные анкетирования; Наблюдения;

    Abstract : The present thesis sought to compare participation in social types of play of children with and without hyperactivity in a Swedish preschool context. Based upon observational design of cross-sectional type, this study was built on a secondary analysis of data collected within two previous research projects that were merged into one dataset. READ MORE

  3. 18. Risk Analysis of Wind Energy Company Stocks

    University essay from Linnéuniversitetet/Institutionen för matematik (MA)

    Author : Xin Jiang; [2020]
    Keywords : Probability theory; risk analysis; variance; value at risk; conditional value at risk.;

    Abstract : In this thesis, probability theory and risk analysis are used to determine the riskof wind energy stocks. Three stocks of wind energy companies and three stocksof technology companies are gathered and risks are compared. Three difffferent riskmeasures: variance, value at risk, and conditional value at risk are used in this thesis. READ MORE

  4. 19. Investigation on Positioning Techniques for Indoor Office Scenario

    University essay from Lunds universitet/Institutionen för elektro- och informationsteknik

    Author : Yan Shu; Yujie Zhang; [2020]
    Keywords : Technology and Engineering;

    Abstract : This master thesis aims to investigate downlink positioning techniques and improve fifth-generation (5G) cellular positioning performance in the indoor office scenario. In the thesis work, we target in the indoor office scenario because it is a typical deployment scenario standardized in 3GPP release 16. READ MORE

  5. 20. Probabilistic Regression using Conditional Generative Adversarial Networks

    University essay from Linköpings universitet/Statistik och maskininlärning

    Author : Joel Oskarsson; [2020]
    Keywords : machine learning; ml; regression; probabilistic; distribution; cgan; gan; conditional gan; adversarial networks; neural network; deep learning; f-gan; f-cgan; f-divergence; adversarial training; bimodal; heteroskedastic; mmd; maximum mean discrepancy; gmmn; generative moment matching network; conditional gmmn; ipm; kde; cgan evaluation; cgan regression; gan regression; cgan-regression; regression using gan; deep; nn; implicit; generative; conditional; model; complex noise; aleatoric; uncertainty; dctd; mdn; heteroskedastic regression; gp;

    Abstract : Regression is a central problem in statistics and machine learning with applications everywhere in science and technology. In probabilistic regression the relationship between a set of features and a real-valued target variable is modelled as a conditional probability distribution. READ MORE