Essays about: "Predictors"
Showing result 1 - 5 of 407 essays containing the word Predictors.
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1. The Interrelation of Punitiveness, Morality, and Socio-demographics
University essay from Göteborgs universitet/Institutionen för psykologiAbstract : This study explores the relationship between morality (in the form of the moral foundations theory) and punitiveness. Specifically, the aim of the study is to replicate earlier findings of Silver and Silver (2017), who found a positive correlation between the moral valuing of authority, loyalty, and purity (labelled together as the binding foundations), and punitiveness. READ MORE
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2. Investigation of Injury Predictors for Rat Neuro Trauma
University essay from KTH/Medicinteknik och hälsosystemAbstract : A traumatic brain injury is usually caused by a direct impact to the head and is a common cause of disability and death all around the world. The most effective method to predict brain injury today, is to use a finite element head model. READ MORE
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3. Prevalent Discord. Exploring and estimating the prevalence of the type of user disagreement on news media Facebook posts discussing the Colombian peace process (2020-2022)
University essay from Lunds universitet/Graduate SchoolAbstract : This thesis is dedicated to exploring and understanding public reactions within negotiated peace settlements based on social media data. Concretely, to modeling public opinion and sentiment within the context of the Colombian peace process using a curated dataset of N= ~1. READ MORE
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4. Network Connectedness in Financial Markets
University essay from Handelshögskolan i Stockholm/Institutionen för finansiell ekonomiAbstract : This paper is a collection of two different theses discussing the prediction of the returns and volatilities of the S&P 500 constituents and of US Real Estate Investment Trusts (REITs) by analyzing their centrality within the financial market network. Both empirical works summarize the relevant financial and network literature, demonstrating how modeling stock connectedness within financial markets makes it possible to create returns and volatility predictors, improving investors' portfolio allocations and achieved investment Sharpe ratios. READ MORE
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5. Predicting Electricity Consumption with ARIMA and Recurrent Neural Networks
University essay from Uppsala universitet/Statistiska institutionenAbstract : Due to the growing share of renewable energy in countries' power systems, the need for precise forecasting of electricity consumption will increase. This paper considers two different approaches to time series forecasting, autoregressive moving average (ARMA) models and recurrent neural networks (RNNs). READ MORE