Essays about: "Conditional probability"
Showing result 1 - 5 of 55 essays containing the words Conditional probability.
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1. A temporal Hawkes process model for shooting occurrences in Sweden
University essay from Lunds universitet/Statistiska institutionenAbstract : The Hawkes process, also referred to as a self-exciting point process, is a class of point processes where the intensity is conditioned on previous events. More specifically, an event occurrence excites the process, temporarily increasing the probability of more events occurring. READ MORE
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2. Unraveling the Complexities of Energy Poverty in Germany- A Comparative Analysis of Determinants, Dynamics, and Indicators
University essay from Göteborgs universitet/Graduate SchoolAbstract : This master thesis investigates the determinants and dynamics of energy poverty in Germany based on different calculation methods. Using a dynamic random-effects probit model, socioeconomic factors associated with a household’s risk of experiencing energy poverty are identified. READ MORE
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3. Failure Probability and Lifetime Estimation for Industrial Robots : A Logistic Regression and Lifetime Analysis Approach
University essay from Umeå universitet/Institutionen för matematik och matematisk statistikAbstract : The ability to handle and process data for information extraction is getting more and more important. Using extracted data from the business to improve productivity is seen as an important part in developing the business processes. In this thesis, industrial robots and their survival times are analyzed. READ MORE
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4. Aggregation of Solar and Wind Power and its Impact on the Development of the Transmission Network : KTH Thesis Report
University essay from KTH/Skolan för industriell teknik och management (ITM)Abstract : Variable renewable energy (VRE) is becoming more present in the energy mix as society aims to shift power production from fossil fuels. Solar and wind power are VRE sources, which can result in fluctuations in the input to the network, creating supply uncertainty. READ MORE
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5. Bayesian Networks for Modelling the Respiratory System and Predicting Hospitalizations
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Bayesian networks can be used to model the respiratory system. Their structure indicate how risk factors, symptoms, and diseases are related and the Conditional Probability Tables enable predictions about a patient’s need for hospitalization. READ MORE