Jennifer Seiler

Information Systems and Management · 2018

A researcher in the Science corpus: 1 paper; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Jennifer Seiler trusts overall

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

  1. Roger D. Peng
  2. Robert Gentleman

Papers from Jennifer Seiler's perspective

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

  1. Promoting an open research culture (Science)
  2. Reproducible Research in Computational Science (Science)
  3. Repeatability of published microarray gene expression analyses (Nature Genetics)
  4. Statistical Analyses and Reproducible Research
  5. Controlling the false discovery rate: a practical and powerful approach to multiple testing
  6. Reproducibility of SELDI-TOF protein patterns in serum: comparing datasets from different experiments (Bioinform.)
  7. The Time-Rescaling Theorem and Its Application to Neural Spike Train Data Analysis (Neural Computation)
  8. Estimation of the upper cutoff parameter for the tapered Pareto distribution (Journal of Applied Probability)
  9. An Introduction to the Theory of Point Processes
  10. Information Theory and an Extension of the Maximum Likelihood Principle

Their papers