与尼尔斯-利德-希约尔特的对话

IF 0.8 4区数学 Q3 STATISTICS & PROBABILITY

Scandinavian Journal of Statistics Pub Date : 2024-06-20 DOI:10.1111/sjos.12732

Ørnulf Borgan, Ingrid K. Glad

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引用次数: 0

摘要

尼尔斯-利德-希约尔特教授（现为名誉教授）四十多年来一直是挪威最具原创性和最有成就的统计学家之一，在生存分析、贝叶斯非参数、经验似然法、密度估计、重点推断、模型选择和置信度分布等广泛领域做出了贡献。这次对话于 2023 年 12 月在奥斯陆大学举行，它揭示了 Nils Hjort 如何以其好奇、开放的心态和深刻的理解力，在统计学及其应用的不同领域之间游刃有余。我们的目标是鼓励统计界始终关注统计科学中的意外联系，并与来自世界各地的统计学家同仁不期而遇。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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A conversation with Nils Lid Hjort

Professor (now emeritus) Nils Lid Hjort has through more than four decades been one of the most original and productive statisticians in Norway, contributing to a wide range of topics such as survival analysis, Bayesian nonparametrics, empirical likelihood, density estimation, focused inference, model selection, and confidence distributions. This conversation, which took place at the University of Oslo in December 2023, sheds light on how Nils Hjort's curious and open mind, coupled with a deep understanding, has enabled him to seamlessly navigate between different fields of statistics and its applications. Our aim is to encourage the statistics community to always be on the lookout for unexpected connections in statistical science and to embrace unexpected encounters with fellow statisticians from around the world.

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来源期刊

Scandinavian Journal of Statistics 数学-统计学与概率论

CiteScore

1.80

自引率

0.00%

发文量

审稿时长

6-12 weeks

期刊介绍： The Scandinavian Journal of Statistics is internationally recognised as one of the leading statistical journals in the world. It was founded in 1974 by four Scandinavian statistical societies. Today more than eighty per cent of the manuscripts are submitted from outside Scandinavia. It is an international journal devoted to reporting significant and innovative original contributions to statistical methodology, both theory and applications. The journal specializes in statistical modelling showing particular appreciation of the underlying substantive research problems. The emergence of specialized methods for analysing longitudinal and spatial data is just one example of an area of important methodological development in which the Scandinavian Journal of Statistics has a particular niche.