Sökning: "Tweedie-regression"

Hittade 2 uppsatser innehållade ordet Tweedie-regression.

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

   Master-uppsats, KTH/Matematik (Avd.)

   Författare :Felix Greberg; Andreas Rylander; [2022]
   Nyckelord :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;

   Sammanfattning : 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. LÄS MER

3. 2. Cardinality estimation with a machine learning approach

   Master-uppsats, KTH/Optimeringslära och systemteori

   Författare :Olle Falgén Enqvist; [2020]
   Nyckelord :Machine learning; databases; regression models; SQL; Maskininlärning; databaser; regressionsmodeller;

   Sammanfattning : This thesis investigates how three different machine learning models perform on cardinalty estimation for sql queries. All three models were evaluated on three different data sets. The models were tested on both estimating cardinalities when the query just takes information from one table and also a two way join case. LÄS MER