Sökning: "Bayesianskt ramverk"

Hittade 5 uppsatser innehållade orden Bayesianskt ramverk.

1. 1. The integration of contextual priors and kinematic information during anticipation in skilled boxers : The role of video analysis

   Kandidat-uppsats, Högskolan i Halmstad/Akademin för hälsa och välfärd

   Författare :Lina Skoghagen; Lina Andersson; [2022]
   Nyckelord :Decision-making Martial arts; video analysis; contextual information; Bayesian framework; Beslutsfattande; Kampsport; Videoanalys; Kontextuell information; Bayesianskt ramverk;

   Sammanfattning : The current study examined how repetitive exposure of an opponent’s stroke preferences on video affected the integration of contextual priors and kinematic information during anticipation in skilled boxers. We performed an experimental ingroup-design with a temporal-occlusion video-based anticipation task with repeated measures where 19 male skilled boxers (M = 22. LÄS MER

3. 2. Nydanande metodik för parameteruppskattning inom ett empiriskt Bayesianskt ramverk

   Kandidat-uppsats, Göteborgs universitet/Institutionen för matematiska vetenskaper

   Författare :Alexander Lehnberg; Malte Rundqvist; Emanuel Abada; Lukas Johansson; Sulaiman Carneli; [2021-07-01]
   Nyckelord :;

   Sammanfattning : Undersökningen behandlar en alternativ metod för parameteruppskattning kalladWeighted Likelihood estimation (WLE) och dess asymptotiska egenskaper i jämförelse med mer etablerade metoder. Kortfattat utnyttjar metoden parameteruppskattningar som empiriska priorifördelningar och summerar dessa med vikter proportionella mot likelihooden för att producera den posteriora fördelningen. LÄS MER

4. 3. An Empirical Evaluation of Context Aware Clustering of Bandits using Thompson Sampling

   Master-uppsats, KTH/Skolan för datavetenskap och kommunikation (CSC)

   Författare :Nicolò Campolongo; [2017]
   Nyckelord :bandits; multi-armed; Thompson Sampling;

   Sammanfattning : Stochastic bandit algorithms are increasingly being used in the domain of recommender systems, when the environment is very dynamic and the items to recommend are frequently changing over time. While traditional approaches consider a single bandit instance which assumes all users to be equal, recent developments in the literature showed that the quality of recommendations can be improved when individual bandit instances for different users are considered and clustering techniques are used. LÄS MER

5. 4. Bayesian Neural Networks for Short Term Wind Power Forecasting

   Master-uppsats, KTH/Skolan för datavetenskap och kommunikation (CSC)

   Författare :Rendani Mbuvha; [2017]
   Nyckelord :Bayesian; Neural Networks; Wind Energy; Forecasting; Renewable Energy; Gaussian; Approximation;

   Sammanfattning : In recent years, wind and other variable renewable energy sources have gained a rapidly increasing share of the global energy mix. In this context the greatest concern facing renewable energy sources like wind is the uncertainty in production volumes as their generation ability is inherently dependent on weather conditions. LÄS MER

7. 5. Small Cohort Population Forecasting via Bayesian Learning

   Master-uppsats, KTH/Matematisk statistik

   Författare :Simon Vallin; [2017]
   Nyckelord :;

   Sammanfattning : A set of distributional assumptions regarding the demographic processes of birth, death, emigration and immigration have been assembled to form a probabilistic model framework of population dynamics. This framework was summarized as a Bayesian network and Bayesian inference techniques are exploited to infer the posterior distributions of the model parameters from observed data. LÄS MER