Search results
Separation risks of married and cohabiting couples: How important is the social context?
Dissertation on the importance of couples’ social environments in understanding their chances of separation
Density estimation by neural networks
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
Triadic Pattern Detection on Inter-Industry Production Networks
production networks, intermediate supply and use, economic resilience, complex networks, network reconstruction
Synthetic data opens up possibilities in the statistical field
The United Nations Economic Commission for Europe (UNECE) recently released a new handbook, ‘Synthetic Data for Official Statistics’, to help get statistical institutes started in producing their own...
Helmholtz decomposition for digraphs
The present paper is about a concept from analysis, namely the Helmholtz decomposition of vector fields that can be translated into a similar concept for certain directed graphs, also called the...
Traffic Flow Density Estimation using Neural Networks
Estimating traffic flow densities measured through road sensors using neural networks
Elastic energy of networks
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...
Redistribution of mass and probabilities
Models to transport goods or matter can also be used to disaggregate probability measures defined on 2D-tables.
Ensembles of networks
About viewing a given network as a realization of a network which belongs to a certain set of networks, called an ensemble. It is comparable to viewing a population as being generated from a...
CBS and UvA in collaboration to solve social problems
It sounds like science fiction: a ‘digital twin’ of society that policy-makers can use to resolve complex social problems.
A Person Network of the Netherlands
As part of its research programme Statistics Netherlands has derived a network of the entire Dutch population. This paper describes the methods used to derive the network and will give an overview of...
Topological anonymity in networks
Statistics Netherlands has been investigating Network data as a source of new statistics. This implies new questions in the area of statistical disclosure control. In this paper a theory for...
Complexity and simplification of networks (v2)
The paper deals with two topics: the quantification of the complexity of networks (graphs and digraphs) and the simplification of networks by identifying their most important parts (nodes and arcs /...
Using complexity science to understand social problems
On 1 January 2021, Statistics Netherlands (CBS) senior methodologist Frank Pijpers was appointed Professor of Complexity for Official Statistics at the University of Amsterdam (UvA).