Essays about: "bayesiansk statistik"
Showing result 1 - 5 of 22 essays containing the words bayesiansk statistik.
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1. Branching Out with Mixtures: Phylogenetic Inference That’s Not Afraid of a Little Uncertainty
University essay from KTH/Matematisk statistikAbstract : Phylogeny, the study of evolutionary relationships among species and other taxa, plays a crucial role in understanding the history of life. Bayesian analysis using Markov chain Monte Carlo (MCMC) is a widely used approach for inferring phylogenetic trees, but it suffers from slow convergence in higher dimensions and is slow to converge. READ MORE
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2. A Predictive Analysis of Customer Churn
University essay from KTH/Matematisk statistikAbstract : Churn refers to the discontinuation of a contract; consequently, customer churn occurs when existing customers stop being customers. Predicting customer churn is a challenging task in customer retention, but with the advancements made in the field of artificial intelligence and machine learning, the feasibility to predict customer churn has increased. READ MORE
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3. LDPC DropConnect
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Machine learning is a popular topic that has become a scientific research tool in many fields. Overfitting is a common challenge in machine learning, where the model fits the training data too well and performs poorly on new data. READ MORE
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4. Out-of-distribution Recognition and Classification of Time-Series Pulsed Radar Signals
University essay from KTH/Matematisk statistikAbstract : This thesis investigates out-of-distribution recognition for time-series data of pulsedradar signals. The classifier is a naive Bayesian classifier based on Gaussian mixturemodels and Dirichlet process mixture models. READ MORE
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5. Favourable Opportunities in Sports Betting - A Statistical Approach to Football Goals in the Premier League
University essay from KTH/Matematisk statistikAbstract : The premise of this report is to delve into sports betting and whether favourable opportunities can be found, more specifically focusing on over and under odds for number of goals scored in football games of the Premier League. Using historical data from football matches several models are developed, the characteristics of goals warranting the use of probability based Poisson and Negative Binomial models, as well as Bayesian Poisson regression for goal predictions. READ MORE