Sökning: "Natural Sciences Mathematics Probability Theory and Statistics"
Visar resultat 16 - 20 av 688 avhandlingar innehållade orden Natural Sciences Mathematics Probability Theory and Statistics.
16. Robust inference of gene regulatory networks : System properties, variable selection, subnetworks, and design of experiments
Sammanfattning : In this thesis, inference of biological networks from in vivo data generated by perturbation experiments is considered, i.e. deduction of causal interactions that exist among the observed variables. Knowledge of such regulatory influences is essential in biology. LÄS MER
17. 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
18. Gnutella Network Traffic : Measurements and Characteristics
Sammanfattning : Wide availability of computing resources at the edge of the network has lead to the appearance of new services based on peer-to-peer architectures. In a peer-to-peer network nodes have the capability to act both as client and server. LÄS MER
19. Two-Barrier Problems in Applied Probability: Algorithms and Analysis
Sammanfattning : This thesis consists of five papers (A-E). In Paper A, we study transient properties of the queue length process in various queueing settings. We focus on computing the mean and the Laplace transform of the time required for the queue length starting at $x0. We define the loss rate due to the reflection. LÄS MER
20. 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