Sökning: "statistiska institutionen uu"

Visar resultat 36 - 40 av 543 uppsatser innehållade orden statistiska institutionen uu.

  1. 36. Kommunala variationer i social tillit: Etnisk mångfald och ekonomisk ojämlikhet i Sverige

    Kandidat-uppsats, Uppsala universitet/Statsvetenskapliga institutionen

    Författare :Klara Strindlund; [2023]
    Nyckelord :Etnisk mångfald; invandring; integration; social tillit; utveckling;

    Sammanfattning : Tillit är centralt i ett välfungerande och stabilt samhälle. Människor behöver känna tillit både till samhällets institutioner och till andra människor i samhället för att kunna samarbeta och upprätthålla social sammanhållning. LÄS MER

  3. 37. A comparison of forecasting techniques: Predicting the S&P500

    Kandidat-uppsats, Uppsala universitet/Statistiska institutionen

    Författare :Axel Neikter; Nils Sjöberg; [2023]
    Nyckelord :Forecasting; machine learning; random forest; arima;

    Sammanfattning : Accurately predicting the S\&P 500 index means knowing where the US economy is heading. If there was a model that could predict the S\&P 500 with even some accuracy, this would be extremely valuable. Machine learning techniques such as neural network and Random forest have become more popular in forecasting. LÄS MER

  4. 38. Is eXplainable AI suitable as a hypotheses generating tool for medical research? Comparing basic pathology annotation with heat maps to find out

    Kandidat-uppsats, Uppsala universitet/Statistiska institutionen

    Författare :Albert Adlersson; [2023]
    Nyckelord :black box; eXplainable AI XAI ; Convolutional Neural Network CNN ; Mi- crosatellite Instability MSI ; colon cancer; gastric cancer; hypotheses generating; hypotheses generating tool; medical research;

    Sammanfattning : Hypothesis testing has long been a formal and standardized process. Hypothesis generation, on the other hand, remains largely informal. This thesis assess whether eXplainable AI (XAI) can aid in the standardization of hypothesis generation through its utilization as a hypothesis generating tool for medical research. LÄS MER

  5. 39. Identification, investigation and prediction of post-COVID phenotypes : Using Cluster analysis and Ordinal logistic regression to determine severity of post-COVID

    Kandidat-uppsats, Uppsala universitet/Statistiska institutionen

    Författare :Sara Malmquist; Oliver Rykatkin; [2023]
    Nyckelord :K-means; Ordinal logistic regression; Backwards deletion; PCS score; Post-COVID; ROC curve;

    Sammanfattning : It is believed that a large number of people experience remaining symptoms after COVID-19, so-called post-COVID. The formal definition and diagnostic criteria of post-COVID have been a scientific controversy. So far, there is no reliable system for distinguishing the severity of post-COVID. LÄS MER

  7. 40. BAYESIAN HIERARCHICAL LINEAR MODELS FOR DIFFERENTIAL PROTEIN EXPRESSION ANALYSIS

    Master-uppsats, Uppsala universitet/Statistiska institutionen

    Författare :Siri Voghera; [2023]
    Nyckelord :Bayesian hierarchical modeling; differential protein expression analysis; proteomics;

    Sammanfattning : It is evident that the study of proteins is crucial for a deeper understanding of how drug treatments affect the body. However, differential protein expression analysis, which can be described as the method of finding which proteins are affected by a treatment, faces some major challenges. LÄS MER