Sebastian Geyer

Statistics and Probability · 2019

A researcher in the Science corpus: 1 paper; trusts 9 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Sebastian Geyer trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

  1. Rüdiger Rackwitz
  2. David Arthur
  3. Arthur P. Dempster
  4. Iason Papaioannou
  5. P. Boer
  6. Reuven Y. Rubinstein
  7. Martin Ester
  8. Sergei Vassilvitskii
  9. Dirk P. Kroese
  10. Nan M. Laird

Papers from Sebastian Geyer's perspective

Ordered by how strongly the researchers Sebastian Geyer trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Maximum likelihood from incomplete data via the EM - algorithm plus discussions on the paper
  2. A Tutorial on the Cross-Entropy Method
  3. A Density-Based Algorithm for Discovering Clusters in Large Spatial Databases with Noise
  4. Simulation and the Monte Carlo method
  5. k-means++: the advantages of careful seeding
  6. Some methods for classification and analysis of multivariate observations
  7. Reliability analysis—a review and some perspectives
  8. Sequential importance sampling for structural reliability analysis
  9. Genetic Algorithms in Search Optimization and Machine Learning
  10. Clustering Data Streams: Theory and Practice

Their papers