Bibliographic record
Abstract
Ole Eiler Barndorff-Nielsen passed away on June 26, 2022 in Aarhus after a short period of illness.He was born in Copenhagen on March 18, 1935.He made vast contributions in several fields of knowledge, including statistics, probability, econometrics and theoretical physics.The velocity at which the sad news of his death spread throughout the international community of statistics and probability is evidence of Ole's exceptional and highly respected position internationally.After studies in mathematics and actuarial science at the University of Copenhagen, Ole graduated in 1960 with a degree from the newly founded (in 1954) Department of Mathematics at Aarhus University, where he was hired as an assistant professor the same year.There he established and built a strong group of scientists working in statistics, probability and related areas, which he led over the following 45 years.He was one of the most cited and influential scientists in stochastics with a remarkable production of more than 200 scientific papers and eight textbooks written with more than 80 coauthors.His scientific production was comprehensive, as is clear from the brief review below of some of his most important contributions.An extraordinary curiosity and enthusiasm fueled his ambitious scientific work.Even at a very high age, he was eager to study newly developed areas within statistics and probability; for example, he initiated and developed the theory of ambit stochastics with collaborators over the last ten years of his life.Throughout his career, Ole was a generous, inspiring and supportive mentor and collaborator for numerous young scientists, many of whom have developed into leading experts in statistics, probability and mathematical finance.Ole was undoubtedly one of the most important and visionary among those involved in building and developing the Department of Mathematics at Aarhus University.He also played important roles in two Danish National Research Foundation centers of excellence.He was a visionary scientific director of MaPhySto, which had a lasting effect on Danish mathematics.Later he played a central role in the econometrics centre CREATES, where he initiated several cross-disciplinary collaborations.In 2014 he received the Rigmor and Carl Holst-Knudsen Science Prize in recognition of his lifelong contributions.Internationally, Ole played an innovative and visionary role too.For ex-
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.006 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.151 | 0.122 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".