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Dissertation on internal migration patterns of highly educated men and women from a life course perspective: from leaving the parental home to family formation.

This dissertation contains extensions for the capture-recapture model, which in many cases can be used to estimate the size of a population more accurately.

This dissertation develops density estimation and filtering methods to analyze complex high-frequency data prone to uncertainty pronounced in missing observations or errors by measurement

Discussion paper about a method based on time-series multilevel modelling to estimate detailed mobility trends corrected for discontinuities due to survey redesigns.

Mixed-mode adaptive survey designs have become a standard in many survey settings. Also the combination of mixing modes and adapting effort has been elaborated and applied. However, the focus has...

Effective and targeted decision-making during pandemics requires accurate forecasting of key health outcomes such as hospitalizations. This study investigates the relationship between the weekly...

Discussion paper on a novel particle filter based on a neural network for time series analysis.

The paper is about invariants of networks by labeling and relabeling its nodes or arcs. These invariants can be used to classify networks as to their complexity, or to distinguish non-isomorphic...

Models to transport goods or matter can also be used to disaggregate probability measures defined on 2D-tables.

Estimating monthly figures on the Dutch labour force during the transition to a new survey design.

This paper is an attempt to estimate the willingness to pay for earthquake reduction in and around the province of Groningen (2012-2018), whilst using a discrete choice model to incorporate...

A common task for national statistical institutes is to estimate the size of a subpopulation, with certain specific characteristics, as a proportion of a larger population or subpopulation. This...

Estimation of quarterly figures on Dutch health during the Covid-19 pandemic by structural time series models.

Discussion paper about estimating monthly consumer confidence figures

Multivariate state space methods for estimating official statistics and modelling climate data.

Discussion paper about a method to estimate detailed mobility trends corrected for discontinuities due to redesigns

Discussion paper about a nonparametric method to estimate the probability density of data sources

Dissertation on correction methods for misclassification in statistical learning

Dissertation on an evaluation of various forms of answering behaviour in surveys.

Potential Biases in Network Reconstruction Methods Not Maximizing Entropy

Discussion paper about estimating monthly labour force figures during the COVID-19 pandemic in the Netherlands

Discussion paper about a method to estimate time varying state correlations in multivariate state space models

Discussion paper about a method to estimate detailed mobility trends corrected for discontinuities due to redesigns

Dissertation on understanding and minimizing measurement error with Hidden Markov Models.

Using capture-recapture to correcy survey measurement error with big data from road sensors.