Sökning: "Statistical Inference"

Visar resultat 1 - 5 av 69 uppsatser innehållade orden Statistical Inference.

1. 1. Spatio-temporal analysis of COVID-19 in Västra Götaland, Sweden

   Master-uppsats, Göteborgs universitet/Institutionen för matematiska vetenskaper

   Författare :Natalia Andreeva; [2023-08-23]
   Nyckelord :;

   Sammanfattning : Spatio-temporal analysis of COVID-19 data with the two different statistical approaches is the main objective of this thesis. The first classical approach, the Endemic-Epidemic framework (Held et al., 2005) is a class of multivariate time-series models for the incidence counts, obtained from the surveillance systems. LÄS MER

3. 2. Predictive Modeling and Statistical Inference for CTA returns : A Hidden Markov Approach with Sparse Logistic Regression

   Master-uppsats, Umeå universitet/Institutionen för matematik och matematisk statistik

   Författare :Oskar Fransson; [2023]
   Nyckelord :Probability theory; Statistical inference; finance; CTA; managed futures; machine learning; statistical learning; stochastic process; sparse logistic regression; Markov Chain Monte Carlo; Hidden Markov model;

   Sammanfattning : This thesis focuses on predicting trends in Commodity Trading Advisors (CTAs), also known as trend-following hedge funds. The paper applies a Hidden Markov Model (HMM) for classifying trends. Additionally, by incorporating additional features, a regularized logistic regression model is used to enhance prediction capability. LÄS MER

4. 3. Autoencoder-Based Likelihood-Free Parameter Inference of Gene Regulatory Network

   Master-uppsats, Uppsala universitet/Institutionen för informationsteknologi

   Författare :Liang Cheng; [2023]
   Nyckelord :;

   Sammanfattning : Likelihood-free parameter inference is a well-known statistical methodology that estimates the posterior distribution of model parameters even in cases where the likelihood function is intractable. The performance of this method is highly correlated with the learning of summary statistics, which capture the key features from the high dimensional data such as time series. LÄS MER

5. 4. Diffusion-based Vocoding for Real-Time Text-To-Speech

   Master-uppsats, Lunds universitet/Matematisk statistik

   Författare :Lukas Gardberg; [2023]
   Nyckelord :Diffusion; Vocoding; Text-to-Speech; Machine Learning; Mathematics and Statistics;

   Sammanfattning : The emergence of machine learning based text-to-speech systems have made fully automated customer service voice calls, spoken personal assistants, and the creation of synthetic voices seem well within reach. However, there are still many technical challenges with creating such a system which can generate audio quickly and of high enough quality. LÄS MER

7. 5. Evaluating Membership Inference Attacks on Synthetic Data Generated With Formal Privacy Guarantees

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

   Författare :Elliot Beskow; Erik Lindé; [2023]
   Nyckelord :;

   Sammanfattning : Synthetic data generation using generative machine learning has been increasinglypublicized as a new tool for data anonymization. It promises to offer privacy whilemaintaining the statistical properties of the original dataset. This study focuses on the riskswith synthetic data by looking mainly at two aspects: privacy and utility. LÄS MER