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Structural Time Series Models for Consumer Confidence indicators
A time series model to improve the accuracy of estimates about consumer confidence
NNPF: Neural Network Particle Filter for Time Series Data
Discussion paper on a novel particle filter based on a neural network for time series analysis.
Traffic Flow Density Estimation using Neural Networks
Estimating traffic flow densities measured through road sensors using neural networks
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...
Tourism statistics and the use of social media data
This paper describes fundamental research into various possibilities to use data based on publicly available social media for the domain of tourism statistics.
Using Website texts to detect Innovative Companies
Producing an overview of innovative companies in a country is a challenging task.
Position paper on CBS and artificial intelligence
Position paper on CBS and artificial intelligence
Combining data sources to gain new insights in mobility
This paper describes how multiple data sources that relate to mobility in the city of Rotterdam were combined to create a model for scenario analysis. Sources originate from RET, Gemeente Rotterdam...
Inferring network traffic from sensors without a sampling design
The use of non-probability data as a primary data source in official statistics is currently an active field of research.
Correcting survey measurement with road sensor data
Time-based diary surveys collect data over specified time intervals and impose a heavy response burden.
Follow-up study on detection of solar panels from earth observation
Earth observation by planes and satellites provide imagery data that may complement survey and register data.
Understanding sentences via sentence embeddings
In this paper we propose a novel algorithm WordGraph2Vec (WG2Vec) to analyse text data. WG2Vec combines two aspects of natural language processing: language models and word embeddings.
New Quality Criteria for Integrating New Data and Methods in Statistics
This paper aims to elicit a discussion of the existence of a paradigm shift in official statistics through the emergence of new (unstructured) data sources and methods that may not adhere to...