Sökning: "Unbiased prediction"

Visar resultat 1 - 5 av 17 uppsatser innehållade orden Unbiased prediction.

1. 1. Analyzing the performance of active learning strategies on machine learning problems

   Uppsats för yrkesexamina på avancerad nivå, Uppsala universitet/Avdelningen för systemteknik

   Författare :Vendela Werner; [2023]
   Nyckelord :computer science; bioinformatics; machine learning; active learning; artificial intelligence; supervised learning; Astrazeneca; maskininlärning; artificiell intelligens; datorvetenskap; active learning; bioinformatik; supervised learning;

   Sammanfattning : Digitalisation within industries is rapidly advancing and data possibilities are growing daily. Machine learning models need a large amount of data that are well-annotated for good performance. To get well-annotated data, an expert is needed, which is expensive, and the annotation itself could be very time-consuming. LÄS MER

3. 2. Utilizing logistic regression to apply the ELO system in forecasting Premier League odds

   Kandidat-uppsats, KTH/Matematisk statistik

   Författare :Claudio Thegelström; [2023]
   Nyckelord :Premier League; ELO system; Historical odds; Logistic regression; Unbiased prediction; Premier League; ELO systemet; Historiska odds; Logistisk regression; Opartiska prediktioner;

   Sammanfattning : This thesis provides insights into the creation of a model for predicting odds in the Premier League. It illustrates how the ELO system and historical odds, in combination with Monte Carlo simulations, can be implemented through logistic regression to predict odds in an unbiased way. LÄS MER

4. 3. A Causal Analysis of Cat Bond Markets

   D-uppsats, Handelshögskolan i Stockholm/Institutionen för finansiell ekonomi

   Författare :Tim Matheis; [2023]
   Nyckelord :Cat bonds; Insurance-linked securities; Causal machine learning; Random forests;

   Sammanfattning : This work is a contribution to the causal analysis of the catastrophe bond market, which has generated high excess returns over the last two decades. Since these excess returns remain partially unexplainable and the interest in catastrophe bonds is increasing, the causal study of the factors affecting their premiums is of high relevance. LÄS MER

5. 4. Implementing SAE Techniques to Predict Global Spectacles Needs

   Master-uppsats, Högskolan Dalarna/Institutionen för information och teknik

   Författare :Yuxue Zhang; [2023]
   Nyckelord :small area estimation; area-level model; empirical best linear unbiased prediction EBLUP ; generalized linear mixed models; Conditional Autoregressive; spatial correlation; spectacle needs; assistive products; auxiliary data; hglm; relative standard error; simulation;

   Sammanfattning : This study delves into the application of Small Area Estimation (SAE) techniques to enhance the accuracy of predicting global needs for assistive spectacles. By leveraging the power of SAE, the research undertakes a comprehensive exploration, employing arange of predictive models including Linear Regression (LR), Empirical Best Linear Unbiased Prediction (EBLUP), hglm (from R package) with Conditional Autoregressive (CAR), and Generalized Linear Mixed Models (GLMM). LÄS MER

7. 5. Predictive MR Image Generation for Alzheimer’s Disease and Normal Aging Using Diffeomorphic Registration

   Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

   Författare :Yuqi Zheng; [2023]
   Nyckelord :Medical Image Generation; Brain Aging; Diffeomorphic Registration; AlzheimerŠs Disease; Medicinsk bildgenerering; Åldrande av hjärnan; DiffeomorĄsk registrering; Alzheimers sjukdom;

   Sammanfattning : Alzheimer´s Disease (AD) is the most prevalent cause of dementia, signifying a progressive and degenerative brain disorder that causes cognitive function deterioration including memory loss, communication difficulties, impaired judgment, and changes in behavior and personality. Compared to normal aging, AD introduces more profound cognitive impairments and brain morphology changes. LÄS MER