Essays about: "P I insurance"

Showing result 1 - 5 of 20 essays containing the words P I insurance.

1. 1. Using Gradient Boosting to Identify Pricing Errors in GLM-Based Tariffs for Non-life Insurance

   University essay from KTH/Matematik (Avd.)

   Author : Felix Greberg; Andreas Rylander; [2022]
   Keywords : GLM; Gradient Boosting; XGBoost; Non-life insurance; Property Casualty; Rate making; Insurance Tariff; MTPL insurance; Machine learning; Regression trees; Tweedie regression; Credit risk; GLM; Gradient Boosting; XGBoost; Skadeförsäkring; Prissättning; Försäkringstariff; Trafikförsäkring; Regressionsträd; Maskininlärning; Tweedie-regression; Kreditrisk;

   Abstract : Most non-life insurers and many creditors use regressions, more specifically Generalized Linear Models (GLM), to price their liabilities. One limitation with GLMs is that interactions between predictors are handled manually, which makes finding interactions a tedious and time-consuming task. READ MORE

3. 2. Individual Claims Modelling with Recurrent Neural Networks in Insurance Loss Reserving

   University essay from KTH/Matematik (Avd.)

   Author : Julia Li; [2021]
   Keywords : recurrent neural network; loss reserving; insurance; deeptriangle; chain ladder; återkommande neural nätverk; reservsättning; skadeförsäkring; deeptriangle; chain ladder;

   Abstract : Loss reserving in P&C insurance, is the common practice of estimating the insurer’sliability from future claims it will have to pay out on. In the recent years, it has beenpopulartoexploretheoptionsofforecastingthislosswiththehelpofmachinelearningmethods. READ MORE

4. 3. Exploring factors that decides on how a Business Intelligence tool is being received by its users

   University essay from Uppsala universitet/Institutionen för biologisk grundutbildning

   Author : Mårten Klaesson; [2020]
   Keywords : Business Intelligence; Predictive Modelling; Decision Trees; Knime; Tableau; Survey; If P C Insurance;

   Abstract : Self-Service Business Intelligence (SSBI) is a service where users can create reports andanalyze data on their own. It is an approach to decentralize competence and knowledge withina company. It has been proven to increase productivity and provide employees with morepossibilities to make smart data-driven decisions. READ MORE

5. 4. Motion asymmetry and body fat in Swedish riding school horses : is there a connection?

   University essay from SLU/Dept. of Anatomy, Physiology and Biochemistry

   Author : Emma Wärnsberg; [2020]
   Keywords : horse; equine; motion asymmetry; BCS; body fat; riding school; lameness;

   Abstract : In Sweden, there are about 18 000 riding school horses and in 2018 almost five million riding hours took place in Swedish riding schools. A recent study found that overweight is common in riding school horses, 28 % had a BCS ≥ 7. It has been reported that the prevalence of overweight and obesity in the equine population has increased worldwide. READ MORE

6. 5. Predicting Large Claims within Non-Life Insurance

   University essay from KTH/Matematisk statistik

   Author : Jacob Barnholdt; Josefin Grafford; [2018]
   Keywords : Mathematical Statistics; Regression Analysis; Generalized Linear Model; Logistic Regression; Data Analysis; Non-life Insurance; Insurance Pricing; Large claims; Matematisk statistik; Regressionsanalys; Generaliserad linjär modell; Logistisk Regression; Dataanalys; Sakförsäkring; Försäkringsprissättning; Storskador;

   Abstract : This bachelor thesis within the field of mathematical statistics aims to study the possibility of predicting specifically large claims from non-life insurance policies with commercial policyholders. This is done through regression analysis, where we seek to develop and evaluate a generalized linear model, GLM. READ MORE