4 papers
Estimating Causal Effects with the Neural Autoregressive Density Estimator
Sergio Garrido, Stanislav S. Borysov, Jeppe Rich +1
Estimation of causal effects is fundamental in situations were the underlying system will be subject to active interventions. Part of building a causal inference engine is defining…
Prediction of rare feature combinations in population synthesis: Application of deep generative modelling
Sergio Garrido, Stanislav S. Borysov, Francisco C. Pereira +1
In population synthesis applications, when considering populations with many attributes, a fundamental problem is the estimation of rare combinations of feature attributes. Unsurpr…
Introducing Super Pseudo Panels: Application to Transport Preference Dynamics
Stanislav S. Borysov, Jeppe Rich
We propose a new approach for constructing synthetic pseudo-panel data from cross-sectional data. The pseudo panel and the preferences it intends to describe is constructed at the…
Scalable Population Synthesis with Deep Generative Modeling
Stanislav S. Borysov, Jeppe Rich, Francisco C. Pereira
Population synthesis is concerned with the generation of synthetic yet realistic representations of populations. It is a fundamental problem in the modeling of transport where the…