Essays about: "mathematics - probability and statistics"
Showing result 1 - 5 of 59 essays containing the words mathematics - probability and statistics.
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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. Regularization Methods and High Dimensional Data: A Comparative Study Based on Frequentist and Bayesian Methods
University essay from Lunds universitet/Statistiska institutionenAbstract : As the amount of high dimensional data becomes increasingly accessible and common, the need for reliable methods to combat problems such as overfitting and multicollinearity increases. Models need to be able to manage large data sets where predictor variables often outnumber the amount of observations. READ MORE
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3. Wind Turbine Recovery Forecasting using Survival Analysis
University essay from Lunds universitet/Matematisk statistikAbstract : The goal of this thesis is to present a methodology for predicting time until recovery of failed wind turbines. The necessity is motivated by the potential for more accurate wind energy export forecasts. The current approach rests entirely on having an expert examine the turbine and produce a time estimate. READ MORE
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4. Analysis and Use of Telemetry Data for Car Insurance Premiums
University essay from KTH/Matematisk statistikAbstract : Paydrive is a pioneer in the Swedish auto insurance market. Being able to influence your insurancepremium through your driving is a concept that is still in its early stages. READ MORE
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5. Reconstruction of Fire Spread with a Markov Random Field Mixture Model
University essay from Lunds universitet/Matematisk statistikAbstract : This thesis revolves around reconstructing fire sizes for historical fires in Jämtgaveln, Sweden based on data of fire scars in trees. We propose a Hidden Markov Model (HMM), where the domain is divided into quadratic grid cells of 250 $\times$ 250 m and with these grid cells we associate a binary Markov random field taking values 0 or 1 corresponding to no fire and fire respectively. READ MORE