Sökning: "Probability Theory and Statistics"
Visar resultat 1 - 5 av 707 avhandlingar innehållade orden Probability Theory and Statistics.
1. Information-Theoretic Generalization Bounds: Tightness and Expressiveness
Sammanfattning : Machine learning has achieved impressive feats in numerous domains, largely driven by the emergence of deep neural networks. Due to the high complexity of these models, classical bounds on the generalization error---that is, the difference between training and test performance---fail to explain this success. LÄS MER
2. Prostate cancer incidence, treatment and mortality : Empirical longitudinal register-based studies and methods for handling missing data
Sammanfattning : The diagnostic activity for prostate cancer has increased substantially in Sweden, primarily due to increased use of prostate-specific antigen (PSA) testing in asymptomatic men, and this has led to a large increase in diagnoses. There have also been changes in the diagnostic workup, guidelines, treatment strategies, and more effective treatments have been introduced in different phases of the disease. LÄS MER
3. Price measurement and index construction : some contributions to theory and application
Sammanfattning : Four different problems are treated, all concerned with problems arising when compiling price indexes in official statistics. One deals with the computation of so called elementary aggregates, low level indexes for single products, when proper weights for the observations are not available. LÄS MER
4. Predictions Within and Across Aquatic Systems using Statistical Methods and Models
Sammanfattning : Aquatic ecosystems are an essential source for life and, in many regions, are exploited to a degree which deteriorates their ecological status. Today, more than 50 % of the European lakes suffer from an ecological status which is unsatisfactory. LÄS MER
5. Markov Chains, Renewal, Branching and Coalescent Processes : Four Topics in Probability Theory
Sammanfattning : This thesis consists of four papers.In paper 1, we prove central limit theorems for Markov chains under (local) contraction conditions. As a corollary we obtain a central limit theorem for Markov chains associated with iterated function systems with contractive maps and place-dependent Dini-continuous probabilities. LÄS MER