Essays about: "computational statistics"

Showing result 16 - 20 of 82 essays containing the words computational statistics.

  1. 16. Virtual Staining of Blood Cells using Point Light Source Illumination and Deep Learning

    University essay from Lunds universitet/Matematik LTH

    Author : Joel Wulff; [2022]
    Keywords : Deep learning; virtual staining; blood; cells; GANs; Generative adversarial networks; CNNs; convolutional neural networks; ESRGAN; Unet; digital microscopy; Mathematics and Statistics;

    Abstract : Blood tests are an important part of modern medicine, and are essentially always stained using chemical colorization methods before analysis by computational or manual methods. The staining process allows different parts of blood cells to be discerned that would be unnoticeable in unstained blood. READ MORE

  3. 17. Neural Networks for Credit Risk and xVA in a Front Office Pricing Environment

    University essay from Lunds universitet/Matematisk statistik

    Author : Isabelle Frodé; Viktor Sambergs; [2022]
    Keywords : xVA; CVA; OTC; Counterparty Credit Risk; Interest Rate Swaps; Hull-White Model; Machine Learning; Artificial Neural Networks; Gated Recurrent Units; Mathematics and Statistics;

    Abstract : We present a data-driven proof of concept model capable of reproducing expected counterparty credit exposures from market and trade data. The model has its greatest advantages in quick single-contract exposure evaluations that could be used in front office xVA solutions. The data was generated using short rates from the Hull-White One-Factor model. READ MORE

  4. 18. Evaluation of Probabilistic Programming Frameworks

    University essay from Uppsala universitet/Statistiska institutionen

    Author : Carl Munkby; [2022]
    Keywords : Computational statistics; Bayesian statistics; Probabilistic programming; Probabilistic modelling; Stan; TensorFlow Probability; Pyro; NumPyro; Markov Chain Monte Carlo; Hamiltonian Monte Carlo; NUTS;

    Abstract : In recent years significant progress has been made in the area of Probabilistic Programming, contributing to a considerably easier workflow for quantitative research in many fields. However, as new Probabilistic Programming Frameworks (PPFs) are continuously being created and developed, there is a need for finding ways of evaluating and benchmarking these frameworks. READ MORE

  5. 19. Optimal Q-Space Sampling Scheme : Using Gaussian Process Regression and Mutual Information

    University essay from Uppsala universitet/Avdelningen för systemteknik

    Author : Ture Hassler; Jonathan Berntsson; [2022]
    Keywords : AI; Machine learning; Gaussian process; Gaussian process regression; MRI; dMRI; q-space; sampling; statistics; information theory; mutual information; entropy; pytorch; gpytorch;

    Abstract : Diffusion spectrum imaging is a type of diffusion magnetic resonance imaging, capable of capturing very complex tissue structures, but requiring a very large amount of samples in q-space and therefore time.  The purpose of this project was to create and evaluate a new sampling scheme in q-space for diffusion MRI, trying to recreate the ensemble averaged propagator (EAP) with fewer samples without significant loss of quality. READ MORE

  6. 20. Mescape - A probabilistic mesoscopic model for fire evacuation in large gatherings

    University essay from Lunds universitet/Avdelningen för Brandteknik

    Author : Lorenzo Contini; [2022]
    Keywords : Human behaviour; crowd evacuation; mesoscopic modelling; hydraulic model; large gatherings; fire safety; performance-based design; quantitative risk assessment; consequence analysis; uncertainty analysis; probabilistic modelling; Technology and Engineering;

    Abstract : This study presents a mesoscopic model that predicts pedestrian evacuation in large gatherings with probabilistic methods. The model is based on a coarse network representation of buildings, where occupants are treated at a different scale according to their location. READ MORE