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Related papers: Beyond pair correlation

200 papers

Analyzing following behavior is important in many applications. Following behavior may depend on the main intention of the follower. Users may either follow their friends or they may follow celebrities to know more about them. It is…

Social and Information Networks · Computer Science 2024-11-08 Hayato Oshimo , Shiori Hironaka , Mitsuo Yoshida , Kyoji Umemura

We study the distribution regression problem assuming the distribution of distributions has a doubling measure larger than one. First, we explore the geometry of any distributions that has doubling measure larger than one and build a small…

Machine Learning · Computer Science 2022-03-02 Ilqar Ramazanli

Seemingly unrelated linear regression models are introduced in which the distribution of the errors is a finite mixture of Gaussian components. Identifiability conditions are provided. The score vector and the Hessian matrix are derived.…

Methodology · Statistics 2014-03-18 Giuliano Galimberti , Elena Scardovi , Gabriele Soffritti

We investigate the distributions of the link overlap, P(Q), in 3-dimensional Ising spin glasses. We use clustering methodology to identify a set of pairs of states from different Gibbs states, and calculate its contribution to P(Q). We find…

Disordered Systems and Neural Networks · Physics 2007-10-24 Guy Hed , Eytan Domany

In this article, we examine the Poissonian pair correlation (PPC) statistic for higher-dimensional real sequences. Specifically, we demonstrate that for $d\geq 3$, almost all $(\alpha_1,\ldots,\alpha_d) \in \mathbb{R}^d$, the sequence…

Number Theory · Mathematics 2024-07-25 Tanmoy Bera , Mithun Kumar Das , Anirban Mukhopadhyay

Searches for statistically significant correlations between arrival directions of ultra-high energy cosmic rays and classes of astrophysical objects are common in astroparticle physics. We present a method to test potential correlation…

Astrophysics · Physics 2009-11-13 S. Y. BenZvi , B. M. Connolly , S. Westerhoff

This letter studies the synchrophasor measurement error of electric power distribution systems with on-line and off-line measurements using graphical and numerical tests. It demonstrates that the synchrophasor measurement error follows a…

Signal Processing · Electrical Eng. & Systems 2018-03-19 Can Huang , Charanraj A. Thimmisetty , Xiao Chen , Mert Korkali , Vaibhav Donde , Emma Stewart , Philip Top , Charles Tong , Liang Min

The statistical duality of distributions is a powerful tool for statistical inferences. In the paper the statistical duality of Laplace distribution is discussed. As shown the confidence density of the parameter of this distribution is…

Statistics Theory · Mathematics 2007-06-13 E. A. Barkova , S. I. Bityukov , V. A. Taperechkina

Accurate distances to pulsars can be used for a variety of studies of the Galaxy and its electron content. However, most distance measures to pulsars have been derived from the absorption (or lack thereof) of pulsar emission by Galactic HI…

Astrophysics of Galaxies · Physics 2012-10-02 J. P. W. Verbiest , J. M. Weisberg , A. A. Chael , K. J. Lee , D. R. Lorimer

Two modifications of the chi square test for comparing usual(unweighted) and weighted histograms and two weighted histograms are proposed. Numerical examples illustrate an application of the tests for the histograms with different…

Data Analysis, Statistics and Probability · Physics 2011-11-09 N. D. Gagunashvili

We examine the scaling trends in particle multiplicity and flow observables between SPS, RHIC and LHC, and discuss their compatibility with popular theoretical models. We examine the way scaling trends between SPS and RHIC are broken at LHC…

Nuclear Theory · Physics 2017-08-23 Giorgio Torrieri

The ``extended Overhauser model'' [Overhauser, Can. J. Phys. 1995, 73, 683] for the calculation of the spherically and system-averaged pair density (APD) has been recently combined with the Kohn-Sham equations to yield realistic APD and…

Chemical Physics · Physics 2007-07-05 Paola Gori-Giorgi , Andreas Savin

The combinatorial theory for the set of parity alternating permutations is expounded. In view of the numbers of ascents and inversions, several enumerative aspects of the set are investigated. In particular, it is shown that signed Eulerian…

Combinatorics · Mathematics 2017-06-13 Shinji Tanimoto

Publicly available data reveal long-term systematic features about citation statistics and how papers are referenced. The data also tell fascinating citation histories of individual articles.

Physics and Society · Physics 2009-11-11 S. Redner

This paper compares statistical experiments in discounted problems, ranging from the simplest ones where the state is fixed and the flow of information exogenous to more complex ones, where the decision-maker controls the flow of…

Theoretical Economics · Economics 2025-04-08 Ludovic Renou , Xavier Venel

It is often necessary to compare the power spectra of two or more time series: one may, for instance, wish to estimate what the power spectrum of the combined data sets might have been, or one may wish to estimate the significance of a…

Astrophysics · Physics 2007-05-23 P. A. Sturrock , M. S. Wheatland

With the extensive use of digital devices, online experimental platforms are commonly used to conduct experiments to collect data for evaluating different variations of products, algorithms, and interface designs, a.k.a., A/B tests. In…

Methodology · Statistics 2024-07-09 Qiong Zhang , Lulu Kang , Xinwei Deng

In order to take multiple co-authorship appropriately into account, a straightforward modification of the Hirsch index was recently proposed. Fractionalised counting of the papers yields an appropriate measure which is called the hm-index.…

Physics and Society · Physics 2013-01-31 Michael Schreiber

This is the third out of five chapters of the final report [1] of the Workshop on Physics at HL-LHC, and perspectives on HE-LHC [2]. It is devoted to the study of the potential, in the search for Beyond the Standard Model (BSM) physics, of…

High Energy Physics - Phenomenology · Physics 2019-08-14 X. Cid Vidal , M. D'Onofrio , P. J. Fox , R. Torre , K. A. Ulmer , A. Aboubrahim , A. Albert , J. Alimena , B. C. Allanach , C. Alpigiani , M. Altakach , S. Amoroso , J. K. Anders , J. Y. Araz , A. Arbey , P. Azzi , I. Babounikau , H. Baer , M. J. Baker , D. Barducci , V. Barger , O. Baron , L. Barranco Navarro , M. Battaglia , A. Bay , D. Bhatia , S. Biswas , D. Bloch , D. Bogavac , C. Borschensky , M. K. Bugge , D. Buttazzo , G. Cacciapaglia , L. Cadamuro , A. Calandri , D. A. Camargo , A. Canepa , L. Carminati , S. Carrá , C. A. Carrillo Montoya , A. Carvalho Antunes De Oliveira , F. L. Castillo , V. Cavaliere , D. Cavalli , C. Cecchi , A. Celis , A. Cerri , G. S. Chahal , A. Chakraborty , S. V. Chekanov , H. J. Cheng , J. T. Childers , M. Cirelli , O. Colegrove , G. Corcella , M. Corradi , M. J. Costa , R. Covarelli , N. P. Dang , A. Deandrea , S. De Curtis , H. De la Torre , L. Delle Rose , D. Del Re , A. Demela , S. Demers , R. Dermisek , A. De Santo , K. Deshpande , B. Dey , J. Donini , A. K. Duncan , V. Dutta , C. Escobar , L. Fanó , G. Ferretti , J. Fiaschi , O. Fischer , T. Flacke , E. D. Frangipane , M. Frank , G. Frattari , D. Frizzell , E. Fuchs , B. Fuks , E. Gabrielli , J. Gainer , Y. Gao , J. E. García Navarro , M. H. Genest , S. Giagu , G. F. Giudice , J. Goh , M. Gouzevitch , P. Govoni , A. Greljo , A. Grohsjean , A. Gurrola , G. Gustavino , C. Guyot , C. B. Gwilliam , S. Ha , U. Haisch , J. Haller , T. Han , D. Hayden , M. Heikinheimo , U. Heintz , C. Helsens , K. Hoepfner , J. M. Hogan , K. Huitu , P. Ilten , V. Ippolito , A. Ismail , A. M. Iyer , Sa. Jain , D. O. Jamin , L. Jeanty , T. Jezo , W. Johns , A. Kalogeropoulos , J. Karancsi , Y. Kats , H. Keller , A. Khanov , J. Kieseler , B. Kim , M. S. Kim , Y. G. Kim , M. Klasen , M. D. Klimek , R. Kogler , J. R. Komaragiri , M. Krämer , S. Kubota , A. K. Kulesza , S. Kulkarni , T. Lari , A. Ledovskoy , G. R. Lee , L. Lee , S. W. Lee , R. Leonardi , R. Les , I. M. Lewis , Q. Li , T. Li , I. T. Lim , S. H. Lim , K. Lin , Z. Liu , K. Long , M. Low , E. Lunghi , D. Madaffari , F. Mahmoudi , D. Majumder , S. Malvezzi , M. L. Mangano , E. Manoni , X. Marcano , A. Mariotti , M. Marjanovic , D. Marlow , J. Martin Camalich , P. Matorras Cuevas , M. McCullough , E. F. McDonald , J. Mejia Guisao , B. Mele , F. Meloni , I. -A. Melzer-Pellmann , C. Merlassino , A. B. Meyer , E. Michielin , A. J. Miller , L. Mittnacht , S. Mondal , S. Moretti , S. Mukhopadhyay , B. P. Nachman , K. Nam , M. Narain , M. Nardecchia , P. Nath , J. Navarro-González , A. Nisati , T. Nitta , D. L. Noel , M. M. Nojiri , J. P. Ochoa-Ricoux , H. Oide , M. L. Ojeda , S. Pagan Griso , E. Palencia Cortezon , O. Panella , P. Pani , L. Panizzi , L. Panwar , C. B. Park , J. Pazzini , K. Pedro , M. M. Perego , L. Perrozzi , B. A. Petersen , A. Pierce , G. Polesello , A. Policicchio , C. J. Potter , P. Pralavorio , M. Presilla , J. Proudfoot , F. S. Queiroz , G. Ramirez-Sanchez , D. Redigolo , A. Reimers , S. Resconi , M. Rimoldi , J. C. Rivera Vergara , T. Rizzo , C. Rogan , F. Romeo , R. Rosten , R. Ruiz , J. Ruiz-Alvarez , J. A. Sabater Iglesias , B. Safarzadeh Samani , S. Sagir , M. Saito , S. Saito , F. Sala , C. Salazar , A. Savin , R. Sawada , S. Sawant , I. Schienbein , M. Schlaffer , B. Schneider , S. C. Schuler , C. D. Sebastiani , S. Sekmen , M. Selvaggi , D. Sengupta , H. Serce , H. Serodio , L. Sestini , B. Shakya , B. Shams Es Haghi , P. Sheldon , S. Shin , F. Simonetto , L. Soffi , M. Spannowsky , J. Stupak , M. J. Sullivan , M. Sunder , Y. Takahashi , X. Tata , H. Teagle , K. Terashi , A. Tesi , A. Thamm , K. Tobioka , P. Tornambe , F. Trovato , D. Tsiakkouri , F. C. Ungaro , A. Urbano , E. Usai , N. Vanegas , L. Vaslin , C. Vázquez Sierra , I. Vivarelli , M. Vranjes Milosavljevic , H. Waltari , R. Wang , X. Wang , M. S. Weber , C. Weiland , M. Wielers , J. M. Williams , S. Willocq , D. Xu , K. Yagyu , E. Yazgan , R. Ye , H. D. Yoo , T. You , F. Yu , G. Zevi Della Porta , W. Zhang , C. Zhu , X. Zhuang , J. Zobec , J. Zupan , J. Zurita

Bayesian Poisson probability distributions for the average n can be analytically converted into equivalent chi-squared distributions. These can then be combined with other Gaussian or Bayesian Poisson distributions to make a total…

Data Analysis, Statistics and Probability · Physics 2007-05-23 Dennis Silverman