Hans Janssen

Statistics and Probability · 2013

A researcher in the Science corpus: 1 paper; trusts 5 researchers and is trusted by 15 researchers here, as inferred from the citation graph.

Subfields

• Statistics and Probability — 7 citations into it; #2,784 of 12,932 by trust here, #10,275 by citations
• Computational Theory and Mathematics — 5 citations into it; #2,054 of 12,182 by trust here, #9,804 by citations
• Management Science and Operations Research — 5 citations into it; #1,887 of 11,946 by trust here, #9,931 by citations

Whom Hans Janssen trusts overall

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

1. Scott Ferson
2. Bradley Efron
3. Ruichen Jin
4. Robert Tibshirani
5. Wei Chen
6. Michael L. Stein
7. V. Roshan Joseph
8. Luc Pronzato
9. Agus Sudjianto
10. Peter J. Bickel

Who trusts Hans Janssen overall

1. Alireza Soroudi
2. Bakhtiar Feizizadeh
3. M. Rajabi
4. Huai Wang
5. Turaj Amraee
6. Piotr L. Jankowski
7. B. Ataie‐Ashtiani
8. Marco Liserre
9. Thomas Blaschke
10. Craig T. Simmons

Papers from Hans Janssen's perspective

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

1. Design and analysis of computer experiments
2. A Comparison of Three Methods for Selecting Values of Input Variables in the Analysis of Output From a Computer Code
3. What Monte Carlo methods cannot do
4. An Efficient Algorithm for Constructing Optimal Design of Computer Experiments (Design Automation Conference)
5. Design of computer experiments: space filling and beyond (Statistics and computing)
6. Sampling Strategies for Computer Experiments: Design and Analysis
7. Large sample properties of simulations using latin hypercube sampling
8. ORTHOGONAL-MAXIMIN LATIN HYPERCUBE DESIGNS
9. RESAMPLING FEWER THAN n OBSERVATIONS: GAINS, LOSSES, AND REMEDIES FOR LOSSES
10. Error and uncertainty in modeling and simulation (Reliability Engineering & System Safety)

Their papers

• Monte-Carlo based uncertainty analysis: Sampling efficiency and sampling convergence (2013) — 374 citations