Sökning: "Lunds Statistiska institutionen"

Visar resultat 1 - 5 av 403 uppsatser innehållade orden Lunds Statistiska institutionen.

  1. 1. Weather Factors and E. coli Concentration in Barnviken, Malmö - A Linear Mixed Model Approach

    Kandidat-uppsats, Lunds universitet/Statistiska institutionen

    Författare :Elias Gullberg; [2024]
    Nyckelord :Linear Mixed Models; Mathematics and Statistics;

    Sammanfattning : Barnviken in Malmö has persistently encountered challenges associated with elevated concentrations of Escherichia coli (E. coli) without a discernible source of contamination. LÄS MER

  3. 2. A temporal Hawkes process model for shooting occurrences in Sweden

    Kandidat-uppsats, Lunds universitet/Statistiska institutionen

    Författare :Sara Kopelman; [2024]
    Nyckelord :Point processes; stochastic processes; statistics; conditional intensity; crime; shootings; Mathematics and Statistics;

    Sammanfattning : The Hawkes process, also referred to as a self-exciting point process, is a class of point processes where the intensity is conditioned on previous events. More specifically, an event occurrence excites the process, temporarily increasing the probability of more events occurring. LÄS MER

  4. 3. Exploring the Impact of Pseudo and Quasi Random Number Generators on Monte Carlo Integration of the Multivariate Normal Distribution

    Kandidat-uppsats, Lunds universitet/Statistiska institutionen

    Författare :Marcus Stolz; Jonathan Christopher; [2024]
    Nyckelord :Monte Carlo integration; Quasi monte carlo integration; Random number generation; Mathematics and Statistics;

    Sammanfattning : This thesis examines the effects of pseudo and quasi-random number generators on the accuracy and efficiency of Monte Carlo Integration in the case of the multivariate normal distribution. The study compares the performance of the Mersenne Twister (a pseudo-random number generator) with Sobol and Halton sequences (quasi-random number generators). LÄS MER

  5. 4. Comparison of VADER and Pre-Trained RoBERTa: A Sentiment Analysis Application

    Kandidat-uppsats, Lunds universitet/Statistiska institutionen

    Författare :Linda Erwe; Xin Wang; [2024]
    Nyckelord :sentiment analysis; natural language processing; BERT; VADER; sustainability report; Mathematics and Statistics;

    Sammanfattning : Purpose: The purpose of this study is to examine how the overall sentiment results from VADER and a pre-trained RoBERTa model differ. The study investigates potential differences in terms of the median and shape of the two distributions. Data: The sustainability reports of 50 independent random companies are selected as the sample. LÄS MER

  7. 5. Stock Price Predictions for FAANG Companies Using Machine Learning Models

    Kandidat-uppsats, Lunds universitet/Statistiska institutionen

    Författare :Hugo Dahlquist; Fredrik Fourong; [2024]
    Nyckelord :Random Forest; Artificial Neural Networks; Stock prices; Predictions.; Mathematics and Statistics;

    Sammanfattning : The financial industry is one of the highest grossing sectors in the world as it is estimated to represent 24\% of the global economy. As most companies want their asset value to increase, it is of high interest to make good investments which will increase in either the short or long run. LÄS MER