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EMFlow: Data Imputation in Latent Space via EM and Deep Flow Models
The presence of missing values within high-dimensional data is an ubiquitous problem for many applied sciences.
A Non-Iterative Quantile Change Detection Method in Mixture Model with Heavy-Tailed Components
Estimating parameters of mixture model has wide applications ranging from classification problems to estimating of complex distributions.
Probabilistic Detection and Estimation of Conic Sections from Noisy Data
Inferring unknown conic sections on the basis of noisy data is a challenging problem with applications in computer vision.
Methodology Computation
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