Sökning: "bayesian-inference"
Visar resultat 16 - 20 av 80 avhandlingar innehållade ordet bayesian-inference.
16. Scientific methods for integrating expert knowledge in Bayesian models
Sammanfattning : Generating scientific advice to environmental management involves assessments with complex models, sparse data, and challenging empirical experiments, necessitating the integration of expert judgment with data into scientific models. To integrate expert judgement, assessors might elicit judgement by experts as quantiles, find a probability distribution that matches the quantiles, and add this information to the model. LÄS MER
17. Bayesian Cluster Analysis : Some Extensions to Non-standard Situations
Sammanfattning : The Bayesian approach to cluster analysis is presented. We assume that all data stem from a finite mixture model, where each component corresponds to one cluster and is given by a multivariate normal distribution with unknown mean and variance. LÄS MER
18. Bayesian Modeling of Directional Data with Acoustic and Other Applications
Sammanfattning : A direction is defined here as a multi-dimensional unit vector. Such unitvectors form directional data. Closely related to directional data are axialdata for which each direction is equivalent to the opposite direction.Directional data and axial data arise in various fields of science. LÄS MER
19. Phylogenetic Support and Chloroplast Genome Evolution in Sileneae (Caryophyllaceae)
Sammanfattning : Evolutionary biology is dependent on accurate phylogenies. In this thesis two branch support methods, Bayesian posterior probablities and bootstrap frequencies, were evaluated with simulated data and empirical data from the chloroplast genome. LÄS MER
20. Scalable and Efficient Probabilistic Topic Model Inference for Textual Data
Sammanfattning : Probabilistic topic models have proven to be an extremely versatile class of mixed-membership models for discovering the thematic structure of text collections. There are many possible applications, covering a broad range of areas of study: technology, natural science, social science and the humanities. LÄS MER