Sökning: "Bayesian linear regression"
Visar resultat 1 - 5 av 26 uppsatser innehållade orden Bayesian linear regression.
1. Regularization Methods and High Dimensional Data: A Comparative Study Based on Frequentist and Bayesian Methods
Kandidat-uppsats, Lunds universitet/Statistiska institutionenSammanfattning : 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. LÄS MER
2. Predicting Patent Data using Wavelet Regression and Bayesian Machine Learning
Master-uppsats, KTH/Matematik (Avd.)Sammanfattning : Patents are a fundamental part of scientific and engineering work, ensuringprotection of inventions owned by individuals or organizations. Patents areusually made public 18 months after being filed to a patent office, whichmeans that current publicly available patent data only provides informationabout the past. LÄS MER
3. Application of Bootstrap in Approximate Bayesian Computation (ABC)
Master-uppsats, Uppsala universitet/Statistik, AI och data scienceSammanfattning : The ABC algorithm is a Bayesian method which simulates samples from the posterior distribution. In this thesis, the method is applied on both synthetic and observed data of a regression model. Under normal error distribution a conjugate prior and the likelihood function are used in the algorithm. LÄS MER
4. Modelling the effect of multimodal pain rehabilitation
Master-uppsats, Göteborgs universitet/Institutionen för matematiska vetenskaperSammanfattning : Chronic pain is a cause of suffering in a large share of the population and a leading public health problem. Multimodal pain rehabilitation (MMR) is a multidisciplinary rehabilitation method commonly used to treat chronic pain. In Sweden, MMR providers contribute patient data to a national registry (the SQRP). LÄS MER
5. Assessing Machine Learning Algorithms to Develop Station-based Forecasting Models for Public Transport : Case Study of Bus Network in Stockholm
Master-uppsats, KTH/TransportplaneringSammanfattning : Public transport is essential for both residents and city planners because of its environmentally and economically beneficial characteristics. During the past decade climatechange, coupled with fuel and energy crises have attracted significant attention toward public transportation. LÄS MER