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Related papers: Comment: The Need for Syncretism in Applied Statis…

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I give a comment on arXiv:1802.01804v3 [hep-ph]

High Energy Physics - Phenomenology · Physics 2018-07-19 Dirk Dubbers

This is a Comment on "Universal Fluctuations in Correlated Systems".

Statistical Mechanics · Physics 2009-11-07 B. Zheng , S. Trimper

This is a comment on [G. Knight and R. Klages, Phys. Rev. E 84, 041135 (2011); also available at arXiv:1107.5293v2 [math-ph]].

Statistical Mechanics · Physics 2011-11-29 Thomas Gilbert , David P. Sanders

The advent of artificial intelligence (AI) technologies has significantly changed many domains, including applied statistics. This review and vision paper explores the evolving role of applied statistics in the AI era, drawing from our…

Applications · Statistics 2024-12-16 Jie Min , Xinyi Song , Simin Zheng , Caleb B. King , Xinwei Deng , Yili Hong

Discussion of "Statistical Inference: The Big Picture" by R. E. Kass [arXiv:1106.2895]

Methodology · Statistics 2011-06-17 Andrew Gelman

Synchronization problem for linear coupled networks is a hot topic in recent decade. However, until now, some confused concepts and results still puzzle people. To avoid further misleading researchers, it is necessary to point out these…

Chaotic Dynamics · Physics 2013-06-21 Tianping Chen

Rejoinder to "The Future of Indirect Evidence" [arXiv:1012.1161]

Methodology · Statistics 2010-12-08 Bradley Efron

Bayesian predictive synthesis is useful in synthesizing multiple predictive distributions coherently. However, the proof for the fundamental equation of the synthesized predictive density has been missing. In this technical report, we…

Methodology · Statistics 2024-09-17 Riku Masuda , Kaoru Irie

To appear in Physical Review E. Contains some analysis of experimental (mechanical) string data.

chao-dyn · Physics 2008-02-03 Nicholas B. Tufillaro

This is a reply to the comment by Gilbert and Sanders [arXiv:1111.6271 (2011)]. We point out that their comment is a follow-up of a previous discussion which we briefly summarize before we refute their new criticism.

Mathematical Physics · Physics 2011-12-20 Rainer Klages , Georgie Knight

Comment on "Harold Jeffreys's Theory of Probability Revisited" [arXiv:0804.3173]

Methodology · Statistics 2010-01-19 Dennis Lindley

Comment on "Harold Jeffreys's Theory of Probability Revisited" [arXiv:0804.3173]

Methodology · Statistics 2010-01-19 Arnold Zellner

Comment on "Harold Jeffreys's Theory of Probability Revisited" [arXiv:0804.3173]

Methodology · Statistics 2010-01-19 Stephen Senn

Comment on "Harold Jeffreys's Theory of Probability Revisited" [arXiv:0804.3173]

Methodology · Statistics 2010-01-19 José M. Bernardo

The concept of complexity appears in virtually all areas of knowledge. Its intuitive meaning shares similarities across fields, but disagreements between its details hinders a general definition, leading to a plethora of proposed…

Statistical Mechanics · Physics 2023-10-04 Roberto C. Alamino

As the amount of linked data published on the web grows, attempts are being made to describe and measure it. However even basic statistics about a graph, such as its size, are difficult to express in a uniform and predictable way. In order…

Databases · Computer Science 2014-10-21 William Waites

Comment on "Classical Simulations Including Electron Correlations for Sequential Double Ionization" [arXiv:1204.3956]

Chaotic Dynamics · Physics 2012-08-16 Cristel Chandre , Adam Kamor , Francois Mauger , Turgay Uzer

We give a survey of the foundations of statistical queries and their many applications to other areas. We introduce the model, give the main definitions, and we explore the fundamental theory statistical queries and how how it connects to…

Machine Learning · Computer Science 2020-05-15 Lev Reyzin

Rejoinder: Monitoring Networked Applications With Incremental Quantile Estimation [arXiv:0708.0302]

Methodology · Statistics 2007-08-03 John M. Chambers , David A. James , Diane Lambert , Scott Vander Wiel

Rejoinder to ``Analysis of variance--why it is more important than ever'' by A. Gelman [math.ST/0504499]

Statistics Theory · Mathematics 2007-06-13 Andrew Gelman