Sökning: "Bayes metod"
Hittade 5 avhandlingar innehållade orden Bayes metod.
1. Module identification in dynamic networks: parametric and empirical Bayes methods
Sammanfattning : The purpose of system identification is to construct mathematical models of dynamical system from experimental data. With the current trend of dynamical systems encountered in engineering growing ever more complex, an important task is to efficiently build models of these systems. LÄS MER
2. Parameter Estimation : Towards Data-Driven and Privacy Preserving Approaches
Sammanfattning : Parameter estimation is a pivotal task across various domains such as system identification, statistics, and machine learning. The literature presents numerous estimation procedures, many of which are backed by well-studied asymptotic properties. LÄS MER
3. Classification models for high-dimensional data with sparsity patterns
Sammanfattning : Today's high-throughput data collection devices, e.g. spectrometers and gene chips, create information in abundance. However, this poses serious statistical challenges, as the number of features is usually much larger than the number of observed units. LÄS MER
4. Determination of stellar ages and star formation histories - a Bayesian approach With an application to nearby F and G stars
Sammanfattning : In order to understand the formation and evolution of the Galaxy it is imperative to know when different components formed. This means at the most basic level that we need to know the ages of stars. The present work demonstrates the many problems inherent in determining the ages of stars through comparison with stellar evolutionary models. LÄS MER
5. Perspectives of Deep Learning for Neonatal Sepsis Detection
Sammanfattning : Newborns, whether born at term or preterm, are highly vulnerable and face life-threatening situations during their initial weeks of life every year. Even with hospitalization in a neonatal intensive care unit (NICU) and careful clinical monitoring, identifying infection-related incidents like sepsis is a challenging task. LÄS MER