Sökning: "logistic regression modelling"

Visar resultat 1 - 5 av 60 uppsatser innehållade orden logistic regression modelling.

  1. 1. Mathematical modelling simulation data and artificial intelligence for the study of tumour-macrophage interaction

    Magister-uppsats, Högskolan i Skövde/Institutionen för biovetenskap

    Författare :Jaysmita Khanindra Chaliha; [2023]
    Nyckelord :;

    Sammanfattning : The study explores the integration of mathematical modelling and machine learning to understand tumour-macrophage interactions in the tumour microenvironment. It details mathematical models based on biochemistry and physics for predicting tumour dynamics, highlighting the role of macrophages. LÄS MER

  2. 2. Multi-scale Bark Beetle Predictions Using Machine Learning

    Master-uppsats, Lunds universitet/Institutionen för naturgeografi och ekosystemvetenskap

    Författare :Albert Øhrman Wellendorf; [2023]
    Nyckelord :Geography; GIS; Geographically weighted regression; bark beetle; machine learning; Earth and Environmental Sciences;

    Sammanfattning : Bark beetle attacks have led to widespread tree disturbance and deaths in many parts of the world, and thereby also economic and biodiversity losses. Forest-rich Sweden has experienced periodic attacks, latest in 2018. LÄS MER

  3. 3. Forecasting Football Corner Odds: Statistical Modelling, Betting Strategies and Assessing Market Efficiency

    Master-uppsats, Lunds universitet/Matematisk statistik

    Författare :Gustav Pålsson; Marcus Laurens; [2023]
    Nyckelord :Mathematics and Statistics;

    Sammanfattning : Statistical modelling could be included in a betting strategy where the value of a bet is assessed by comparing model predictions and market odds. This thesis presents several models based on statistical learning methods for predicting the total number of corners in a football match. LÄS MER

  4. 4. Applying the Shadow Rating Approach: A Practical Review

    Master-uppsats, KTH/Matematik (Avd.)

    Författare :Viktor Barry; Carl Stenfelt; [2023]
    Nyckelord :Shadow Rating; probability of default; low default portfolio; credit risk; statistical learning; financial regulation; Basel; Pluto and Tasche; Skuggrating; sannolikhet av fallissemang; lågfallissemangsportfölj; kreditrisk; statistisk inlärning; finansiella regelverk; Basel; Pluto och Tasche;

    Sammanfattning : The combination of regulatory pressure and rare but impactful defaults together comprise the domain of low default portfolios, which is a central and complex topic that lacks clear industry standards. A novel approach that utilizes external data to create a Shadow Rating model has been proposed by Ulrich Erlenmaier. LÄS MER

  5. 5. Tree Species Impact on Forest Fire Spread Susceptibility in Sweden

    Master-uppsats, Lunds universitet/Institutionen för naturgeografi och ekosystemvetenskap

    Författare :Sara Sharon Jones; [2023]
    Nyckelord :Geography; GIS; Physical Geography; Forest Fire; Forest Fire Susceptibility; Sweden; logistic regression modelling; Earth and Environmental Sciences;

    Sammanfattning : Klimatförändringar förväntas leda till längre brandperioder och ökad brandrisk. I Sverige, där homogen produktionsskog utgör största delen av landskapet, finns ett behov av bättre förståelse för skogens mottaglighet för bränder för att kunna mildra risker. LÄS MER