Blar i Master theses på emneord "753299"
Viser treff 1-20 av 20
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A Comparison of the local Gaussian correlation and the local dependence function
(Master thesis, 2022-06-01)Correlation is a method to measure the relation between two or more variables. In this thesis, a method of measuring correlation and a method of measuring dependence are used. These two methods, are the local Gaussian ... -
A Dimensionality Reducing Extension of Bayesian Relevance Learning
(Master thesis, 2021-02-11)When modeling with big data and high dimensional data, the ability to extract the most important information from the data set and avoid overfitting is crucial. However, by using well developed sparse methods, we can ... -
APARCH Models Estimated by Support Vector Regression
(Master thesis, 2021-06-01)This thesis presents a comprehensive study of asymmetric power autoregressive conditional heteroschedasticity (APARCH) models for modelling volatility in financial return data. The goal is to estimate and forecast volatility ... -
Application of Wavenet to financial times series prediction
(Master thesis, 2024-02-15)This thesis explores the application of the WaveNet model utilizing dilated causal convolutions, originally designed for text-to-speech synthesis on univariate time series. Here it is adapted to predicting on multivariate ... -
Commutability of Control Materials - Statistical Methods of Evaluation.
(Master thesis, 2020-12-15) -
Count time series with application to corporate defaults
(Master thesis, 2020-06-12) -
Deep learning-based cross-sensor super resolution of satellite images
(Master thesis, 2021-11-22)Subtitle: Multispectral-to-panchromatic single-image super resolution of GeoEye-1 satellite images using an ESRGAN deep learning model trained exclusively on WorldView-2 images. Abstract: Today, easy and abundant access ... -
Discrete hidden Markov modelswith application to stock tradingalgorithms
(Master thesis, 2021-01-31) -
Fallacy of a correction factor in automated computer vision-based lice counting
(Master thesis, 2023-11-20)Parasitic salmon lice (Lepeophtheirus salmonis, Krøyer 1837) are a threat to the health and welfare of farmed salmonids and to the sustainability of wild salmon populations in Norway. Accordingly, the opportunities for ... -
Hidden Markov and Hidden Semi-Markov models on Financial Timeseries
(Master thesis, 2020-09-11) -
Inferring CRCs progression dynamic with HyperTraPS
(Master thesis, 2021-07-07) -
Markov-switching GARCH models with application to insurance claims
(Master thesis, 2020-09-11) -
Model selection in time series by Deep Learning
(Master thesis, 2020-06-30)In this thesis, we will explore the use of deep learning techniques for model selection in time series. We compare the results from this with more traditional approaches for model selection, namely the Akaike and Bayesian ... -
Modellering av overdispersjon i populasjonsdata
(Master thesis, 2023-11-20)I denne studien anvendte vi generaliserte lineære modeller (GLM) for å modellere populasjonsdata fra The Human Mortality Database (HMD) for Sverige. Dataene ble brukt til å predikere antall døde med alderstrinn og kalenderår ... -
Modern Variable Selection Methods with Empirical Analysis
(Master thesis, 2023-06-01)In the realm of modeling with big data including high-dimensional datasets, the challenge lies in extracting the most relevant and informative information while avoiding overfitting of general models, especially when it ... -
Plant Identification with Computer Vision and Improvement Through Location Data
(Master thesis, 2024-06-03)Det ˚a kunne riktig identifisere arter er et veldig viktig verktøy i kampen for ˚a bevare artsmangfoldet i verden, men dette er kunnskap som er enten forbeholdt eksperter, eller s˚a er det veldig tidskrevende for ufagkyndige. ... -
Portfolio Optimization and Diversification Benefits: A Local Gaussian Correlation Approach
(Master thesis, 2019-06-22) -
Sequential Monte Carlo Methods in Practice
(Master thesis, 2023-11-27)With the continuous increase in computational power, sequential Monte Carlo methods have emerged as an efficient technique for estimating unknown data in a world consisting of nonlinearity and non-Gaussianity. In this ... -
Stochastic Automatic Gradient Tree Boosting
(Master thesis, 2021-11-22)