Essays about: "statistical network modelling"

Showing result 1 - 5 of 26 essays containing the words statistical network modelling.

  1. 1. On modelling OMXS30 stocks - comparison between ARMA models and neural networks

    University essay from Uppsala universitet/Matematiska institutionen

    Author : Irina Zarankina; [2023]
    Keywords : ARMA; ARIMA; LSTM; time series; statistics;

    Abstract : This thesis compares the results of the performance of the statistical Autoregressive integrated moving average (ARIMA) model and the neural network Long short-term model (LSTM) on a data set, which represents a market index. Both models are used to predict monthly, daily, and minute close prices of the OMX Stockholm 30 Index. READ MORE

  3. 2. Artificial Neural Networks and Inductive Biases for Multi-Instance Multi-Modal Tabular Data : A Case Study for Default Probability Estimation in Small-to-Medium Enterprise Lending

    University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Author : Gustav Röhss; [2022]
    Keywords : ;

    Abstract : The success of artificial neural networks in homogeneous data domains such as images, textual data, and audio and other signals has had considerable impact on Machine Learning and science in general. The domain of heterogeneous tabular data, while arguably much more common, remains much less explored with regards to artificial neural networks and deep learning. READ MORE

  4. 3. Towards Deep Learning Accelerated Sparse Bayesian Frequency Estimation

    University essay from Lunds universitet/Matematisk statistik

    Author : Mika Persson; [2022]
    Keywords : Bayesian Statistics; Deep Learning; Frequency Estimation; Generative Adversarial Networks; Artificial Neural Networks; Statistical Modelling; Mathematics and Statistics;

    Abstract : The Discrete Fourier Transform is the simplest way to obtain the spectrum of a discrete complex signal. This thesis concerns the case when the signal is known to contain a small (unknown) number of frequencies, not limited to the discrete Fourier frequencies, embedded in complex Gaussian noise. READ MORE

  5. 4. Modelling of Fluid Flow and Contaminant Transport in Fractured Rock : Case Study

    University essay from KTH/Hållbar utveckling, miljövetenskap och teknik

    Author : Ebba Pegestam; [2022]
    Keywords : Contaminant transport; Discrete Fracture Network; Geology; Geohydrology; Groundwater transport; Fracture; Drinking water; Contamination; Föroreningar; flödestransport; spricknätverk; geologi; geohydrologi; grundvattentransport; sprickor; dricksvatten;

    Abstract : Drinking water contamination is a big concern in Sweden and is commonly traced back to being waste from former manufacturing industrial sites. Pollutants in the topsoil can be remediated by several techniques, such as decontamination or excavation but the toxins already enclosed in the bedrock cannot be treated the same and is harder to track possible contaminant pathways. READ MORE

  6. 5. Neural Ordinary Differential Equations for Anomaly Detection

    University essay from KTH/Matematisk statistik

    Author : Jón Hlöðver Friðriksson; Erik Ågren; [2021]
    Keywords : Anomaly detection; Neural ordinary differential equations; Statistical modelling; Autoregression; Variational autoencoder; Multivariate time series; Anomalidetektion; Neurala ordinära differentialekvationer; Statistisk modellering; Autoregression; Variational autoencoder; Multivariat tidsserie;

    Abstract : Today, a large amount of time series data is being produced from a variety of different devices such as smart speakers, cell phones and vehicles. This data can be used to make inferences and predictions. Neural network based methods are among one of the most popular ways to model time series data. READ MORE