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Related papers: A Conversation with Murray Rosenblatt

200 papers

This is, with minor modifications, a text read at the 114th Statistical Mechanics meeting, in honor of D.Ruelle and Y.Sinai, at Rutgers, Dec.13-15, 2015. It does not attempt to analyze, or not even just quote, all works of David Ruelle; I…

History and Philosophy of Physics · Physics 2016-10-11 Giovanni Gallavotti

Markov decision processes (MDPs) are a standard model for sequential decision-making problems and are widely used across many scientific areas, including formal methods and artificial intelligence (AI). MDPs do, however, come with the…

Artificial Intelligence · Computer Science 2024-12-11 Marnix Suilen , Thom Badings , Eline M. Bovy , David Parker , Nils Jansen

Random correlation matrices are studied for both theoretical interestingness and importance for applications. The author of [6] is interested in their interpretation as covariance matrices of purely random signals, the authors of [16]…

Probability · Mathematics 2016-07-28 A. M. Hanea , G. F Nane

Probability metrics have become an indispensable part of modern statistics and machine learning, and they play a quintessential role in various applications, including statistical hypothesis testing and generative modeling. However, in a…

Machine Learning · Statistics 2020-03-02 Soheil Kolouri , Kimia Nadjahi , Umut Simsekli , Shahin Shahrampour

The generalized Rosenblatt process is obtained by replacing the single critical exponent characterizing the Rosenblatt process by two different exponents living in the interior of a triangular region. What happens to that generalized…

Probability · Mathematics 2016-11-10 Shuyang Bai , Murad S. Taqqu

MSc thesis written under the supervision of Dr. J. Pilz (Klagenfurt University) and Dr. W. Mueller (Linz University) during the FWF Project 'Optimal design of correlated random fields'.

Statistics Theory · Mathematics 2007-06-13 Philipp Pluch

These are lecture notes that are based on the lectures from a class I taught on the topic of Randomized Linear Algebra (RLA) at UC Berkeley during the Fall 2013 semester.

Data Structures and Algorithms · Computer Science 2016-08-17 Michael W. Mahoney

With recent dramatic increases in AI system capabilities, there has been growing interest in utilizing machine learning for reasoning-heavy, quantitative tasks, particularly mathematics. While there are many resources capturing mathematics…

Machine Learning · Computer Science 2025-03-11 Herman Chau , Helen Jenne , Davis Brown , Jesse He , Mark Raugas , Sara Billey , Henry Kvinge

We present a latent-stock compartmental framework for modeling degree production systems when only completion flows, rather than enrollments, are observed. Applied to U.S.\ mathematics degrees from 1969 to 2017, the model treats master's…

This article contains reminiscences of the collaborative work that Richard Arnowitt and I did together which stretched over many years and encompasses several areas of particle theory. The article is an extended version of my talk at the…

History and Philosophy of Physics · Physics 2015-05-20 Pran Nath

Motivated by the problem of Many-Body Localization and the recent numerical results for the level and eigenfunction statistics on the random regular graphs, a generalization of the Rosenzweig-Porter random matrix model is suggested that…

Disordered Systems and Neural Networks · Physics 2015-12-29 V. E. Kravtsov , I. M. Khaymovich , E. Cuevas , M. Amini

Graduation and dropout rates have always been a serious consideration for educational institutions and students. High dropout rates negatively impact both the lives of individual students and institutions. To address this problem, this…

Machine Learning · Computer Science 2023-10-18 Sean Kim , Eliot Yoo , Samuel Kim

$\textit{The Bachelor}$ is a reality TV dating show in which a single bachelor selects his wife from a pool of approximately 30 female contestants over eight weeks of filming (American Broadcasting Company 2002). We collected the following…

Machine Learning · Computer Science 2022-04-01 Abigail J. Lee , Grace E. Chesmore , Kyle A. Rocha , Amanda Farah , Maryum Sayeed , Justin Myles

Time-dependent data collected in studies of Alzheimer's disease usually has missing and irregularly sampled data points. For this reason time series methods which assume regular sampling cannot be applied directly to the data without a…

Quantitative Methods · Quantitative Biology 2019-03-06 Paul Moore , Terry Lyons , John Gallacher

This is a draft version of an invited article for a forthcoming book `The genesis of Langlands Program', eds. Julia Mueller and Freydoon Shahidi, which will be published in the London Mathematics Society Lecture Notes Series. It gives a…

Functional Analysis · Mathematics 2019-11-12 Derek W Robinson

Fine-grained migration data illuminate demographic, environmental, and health phenomena. However, United States migration data have serious drawbacks: public data lack spatial granularity, and higher-resolution proprietary data suffer from…

Computers and Society · Computer Science 2026-01-08 Gabriel Agostini , Rachel Young , Maria Fitzpatrick , Nikhil Garg , Emma Pierson

These are my memories of moments with Dick and Liz Askey in Russia, Wisconsin, Arizona, and abroad. Dedicated to the Askey family, these recollections span over 40 years and encompass many dramatic changes in the world. Due to this, it is…

History and Overview · Mathematics 2026-05-20 Sergei K. Suslov

Roger Carter (1934--2022) was a very well known mathematician working in algebra, representation theory and Lie theory. He spent most of his mathematical career in Warwick. Roger was a great communicator of mathematics: the clarity,…

History and Overview · Mathematics 2024-05-28 Meinolf Geck , Donna M. Testerman

Barlow (1985) hypothesized that the co-occurrence of two events $A$ and $B$ is "suspicious" if $P(A,B) \gg P(A) P(B)$. We first review classical measures of association for $2 \times 2$ contingency tables, including Yule's $Y$ (Yule, 1912),…

Machine Learning · Computer Science 2023-03-03 Christopher K. I. Williams

Housing markets play a crucial role in economies and the collapse of a real-estate bubble usually destabilizes the financial system and causes economic recessions. We investigate the systemic risk and spatiotemporal dynamics of the US…

Statistical Finance · Quantitative Finance 2013-12-31 Hao Meng , Wen-Jie Xie , Zhi-Qiang Jiang , Boris Podobnik , Wei-Xing Zhou , H. Eugene Stanley