22 citations · 42 across the 7 of their papers we have counts for
8 papers
Evolutionary Architecture Search for Chlorophyll- Prediction in Lakes using Sentinel-2
Kursat Komurcu, Linas Petkevicius
Small tabular datasets with expert-designed spectral features are the norm in operational Earth observation, and the networks applied to them are typically hand-designed. We revisi…
The Dynamic Triple Gamma Prior as a Shrinkage Process Prior for Time-Varying Parameter Models
Peter Knaus, Sylvia Frühwirth-Schnatter
Many existing shrinkage approaches for time-varying parameter (TVP) models assume constant innovation variances across time points, inducing sparsity by shrinking these variances t…
When it counts -- Econometric identification of the basic factor model based on GLT structures
Sylvia Frühwirth-Schnatter, Darjus Hosszejni, Hedibert Freitas Lopes
Despite the popularity of factor models with sparse loading matrices, little attention has been given to formally address identifiability of these models beyond standard rotation-b…
Cover It Up! Bipartite Graphs Uncover Identifiability in Sparse Factor Analysis
Darjus Hosszejni, Sylvia Frühwirth-Schnatter
Despite the popularity of factor models with sparse loading matrices, little attention has been given to formally address identifiability of these models beyond standard rotation-b…
Sparse Bayesian State-Space and Time-Varying Parameter Models
Sylvia Frühwirth-Schnatter, Peter Knaus
In this chapter, we review variance selection for time-varying parameter (TVP) models for univariate and multivariate time series within a Bayesian framework. We show how both cont…
Factor-augmented Bayesian treatment effects models for panel outcomes
Helga Wagner, Sylvia Frühwirth-Schnatter, Liana Jacobi
We propose a new, flexible model for inference of the effect of a binary treatment on a continuous outcome observed over subsequent time periods. The model allows to seperate assoc…
Efficient Bayesian Modeling of Binary and Categorical Data in R: The UPG Package
Gregor Zens, Sylvia Frühwirth-Schnatter, Helga Wagner
In this vignette, we introduce the UPG package for efficient Bayesian inference in probit, logit, multinomial logit and binomial logit models. UPG offers a convenient estimation fr…
Mixtures of Experts Models
Isobel Claire Gormley, Sylvia Frühwirth-Schnatter
Mixtures of experts models provide a framework in which covariates may be included in mixture models. This is achieved by modelling the parameters of the mixture model as functions…