Sökning: "estimator"
Visar resultat 1 - 5 av 324 uppsatser innehållade ordet estimator.
1. The Effects of Social Assistance and Unemployment Insurance on Employment Outcomes : Evidence from new micro level administrative data at Statistics Sweden
Master-uppsats, Uppsala universitet/Nationalekonomiska institutionenSammanfattning : In this study, I examine the employment effects on average earnings and duration to work during a 45 month period, after receiving social assistance (SA) in October 2019, compared to receiving unemployment insurance (UI) the same month. A distinction is made between two treatment groups; receiving SA in addition to UI (treatment I) and receiving SA (treatment II). LÄS MER
2. The Effects of Social Assistance and Unemployment Insurance on Employment Outcomes : Evidence from new micro level administrative data at Statistics Sweden between 2019-2023
Master-uppsats, Uppsala universitet/Nationalekonomiska institutionenSammanfattning : In this study, I examine the employment effects on average earnings and duration to work during a 45 month period, after receiving social assistance (SA) in October 2019, compared to receiving unemployment insurance (UI) the same month. A distinction is made between two treatment groups; receiving SA in addition to UI (treatment I) and receiving SA (treatment II). LÄS MER
3. Measuring the Utility of Synthetic Data : An Empirical Evaluation of Population Fidelity Measures as Indicators of Synthetic Data Utility in Classification Tasks
Master-uppsats, Karlstads universitet/Institutionen för matematik och datavetenskap (from 2013)Sammanfattning : In the era of data-driven decision-making and innovation, synthetic data serves as a promising tool that bridges the need for vast datasets in machine learning (ML) and the imperative necessity of data privacy. By simulating real-world data while preserving privacy, synthetic data generators have become more prevalent instruments in AI and ML development. LÄS MER
4. Point process learning for non-parametric intensity estimation with focus on Voronoi estimation
Master-uppsats, Göteborgs universitet/Institutionen för matematiska vetenskaperSammanfattning : Point process learning is a new statistical theory that gives us a way to estimate parameters using cross-validation for point processes. By thinning a point pattern we are able to create training and validation sets which are then used in prediction errors. LÄS MER
5. Uncertainty Estimation in Radiation Dose Prediction U-Net
Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : The ability to quantify uncertainties associated with neural network predictions is crucial when they are relied upon in decision-making processes, especially in safety-critical applications like radiation therapy. In this paper, a single-model estimator of both epistemic and aleatoric uncertainties in a regression 3D U-net used for radiation dose prediction is presented. LÄS MER