Bayesian inference for point processes and random sets - inhomogeneity, anisotropy and more

Correspondence Analysis within the Framework of Compositional Tables

Extremal index and its estimators

Tensor changepoint detection and eigenbootstrap

Undergraduate Students’ Use of Digital Learning Materials in a Basic Statistics Course

Frame to frame interpolation for high-dimensional data visualisation using the woylier package

A new coefficient of separation

Regional macroeconomic statistics – pitfalls of interpretation

Individual-Based Statistics in Austria’s Social Security System

Labor Market Challenges and Data-Driven Insights

New technologies, employment and wages – Selected evidence based on Austrian microdata

Supporting Economic Policy with Regional Data: Experiences from Upper Austria

High-dimensional Gaussian and bootstrap approximations for robust means

Machine learning and statistical methods for high-throughput experimental data.

Uncertainty quantification via cross-validation and its variants under algorithmic stability

Targeted Sensitive Covariate Privatization in Optimal Policy Learning

Bayesian Matrix Factor Models for Demographic Analysis Across Age and Time

Network inference via approximate Bayesian computation. Illustration on a stochastic multi-population neural mass model

Shrinkage in a Bayesian Zero-Inflated Negative Binomial Panel Data Model with Time-Varying Coefficients

Bayesian optimal experimental prediction design for physical experiments informed by computer experiments

Data quality and representativity – excuse or concept?

Statistical Significance versus Substantive Relevance - The contribution of Andreas Quatember

Experience with Tailored Designs at Statistics Austria

Advances in Robust Multiple Imputation for Complex and Non-linear Data