Sökning: "statistical models"

Visar resultat 6 - 10 av 912 avhandlingar innehållade orden statistical models.

1. 6. Regularised Weights in Statistical Models

   Författare :Olof Zetterqvist; Chalmers tekniska högskola; []
   Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; Lasso; Robust Statistics; Deep Learning; Weighted loss.; Noisy Labels; Neural Networks; Regularisation;

   Sammanfattning : For flexible and overparameterised models like neural networks, overfitting can be a notorious problem that makes it hard to give accurate predictions in real-life usage. Overfitting is in particular likely in the presence of errors in the training data, such as misclassifications or outliers. LÄS MER

3. 7. Computational methods for analysis of spatial transcriptomics data : An exploration of the spatial gene expression landscape

   Författare :Alma Andersson; Joakim Lundeberg; Omer Bayraktar; KTH; []
   Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; spatial transcriptomics; machine learning; data analysis; RNA-seq; probabilistic; statistical; models; Biotechnology; Bioteknologi;

   Sammanfattning : Transcriptomics techniques, whether in the form of bulk, single cell/nuclei, or spatial methods have fueled a substantial expansion of our knowledge about the biological systems within and around us. In addition, the rate of innovation has accelerated over the last decade, resulting in a multitude of technological advances and new methods for generation of transcriptomics data. LÄS MER

4. 8. Epidemics with heterogeneous mixing : stochastic models and statistical tests

   Författare :Tom Britton; Stockholms universitet; []
   Nyckelord :NATURVETENSKAP; NATURAL SCIENCES;

   Sammanfattning : .... LÄS MER

5. 9. Statistical inference with deep latent variable models

   Författare :Najmeh Abiri; Beräkningsbiologi och biologisk fysik - Genomgår omorganisation; []
   Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; Deep Learning; Generative Models; Variational Inference; Missing data; Imputation; Fysicumarkivet A:2019:Abiri;

   Sammanfattning : Finding a suitable way to represent information in a dataset is one of the fundamental problems in Artificial Intelligence. With limited labeled information, unsupervised learning algorithms help to discover useful representations. LÄS MER

7. 10. Latent variable models for longitudinal twin data

   Författare :Annica Dominicus; Juni Palmgren; Nancy L. Pedersen; Michael G. Kenward; Stockholms universitet; []
   Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; Latent variable models; twin models; variance components; change point models; non-ignorable nonresponse; likelihood ratio tests; Mathematical statistics; Matematisk statistik;

   Sammanfattning : Longitudinal twin data provide important information for exploring sources of variation in human traits. In statistical models for twin data, unobserved genetic and environmental factors influencing the trait are represented by latent variables. In this way, trait variation can be decomposed into genetic and environmental components. LÄS MER