Improved Sampling‐Importance Resampling and Reduced Bias Importance Sampling

By Ø. Skare, Erik Bølviken, Lars Holden. 2003

74 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Statistics and Probability

View Paper: https://www.semanticscholar.org/paper/0af088efa5734fde83e1455aee0c7978fea271c0

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Artificial Intelligence

1. Athina Markopoulou
2. Minas Gjoka
3. Maciej Kurant
4. Carter T. Butts
5. Martina Morris
6. David R. Hunter
7. Mark S. Handcock

In Statistics and Probability

1. Athina Markopoulou
2. Minas Gjoka
3. Maciej Kurant
4. Carter T. Butts

Citations in the corpus

• Walking in Facebook: A Case Study of Unbiased Sampling of OSNs (2010, background): “Simulated Importance Resampling [34] provides a useful alternative for RWRW samples, but suffers from well-known problems of asymptotic bias (see [35] for a discussion and some palliatives).”