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In the Color Glass Condensate formalism, charged hadron p_{T} distributions in p+p collisions are studied by considering an energy-dependent broadening of nucleon's density distribution. Then, in the Glasma flux tube picture, the n-particle…

High Energy Physics - Phenomenology · Physics 2015-12-09 Hongmin Wang , Zhao-Yu Hou , Xian-Jing Sun

Multivalent cargo that can interact with substrates via multiple interaction sites exhibit shared characteristics despite being found in different systems at different length-scales. Here, a general analytical model has been developed that…

Subcellular Processes · Quantitative Biology 2021-11-16 Lewis Scott Mosby , Anne Straube , Marco Polin

We propose two new dependent type systems. The first, is a dependent graded/linear type system where a graded dependent type system is connected via modal operators to a linear type system in the style of Linear/Non-linear logic. We then…

Logic in Computer Science · Computer Science 2023-07-20 Peter Hanukaev , Harley Eades

Constraint-based causal discovery algorithms utilize many statistical tests for conditional independence to uncover networks of causal dependencies. These approaches to causal discovery rely on an assumed correspondence between the…

Machine Learning · Computer Science 2025-04-18 Bijan Mazaheri , Jiaqi Zhang , Caroline Uhler

Previous research on relation classification has verified the effectiveness of using dependency shortest paths or subtrees. In this paper, we further explore how to make full use of the combination of these dependency information. We first…

Computation and Language · Computer Science 2015-07-17 Yang Liu , Furu Wei , Sujian Li , Heng Ji , Ming Zhou , Houfeng Wang

We classify complactly generated t-structures on the derived category of modules over a commutative Noetherian ring R in terms of decreasing filtrations by supports on Spec(R). A decreasing filtration by supports \phi : Z -> Spec(R)…

Algebraic Geometry · Mathematics 2017-04-27 Leovigildo Alonso , Ana Jeremias , Manuel Saorin

In this paper I explain the reasons that led me to research and conceive a novel technology for dependency parsing, mixing together the strengths of data-driven transition-based and constraint-based approaches. In particular I highlight the…

Computation and Language · Computer Science 2015-07-22 Matteo Grella

This work addresses testing the independence of two continuous and finite-dimensional random variables from the design of a data-driven partition. The empirical log-likelihood statistic is adopted to approximate the sufficient statistics of…

Machine Learning · Statistics 2022-01-19 Mauricio E. Gonzalez , Jorge F. Silva , Miguel Videla , Marcos E. Orchard

We show that, even in purely soft processes, the hadronic multiplicity in nucleus-nucleus interactions contains a term that scales with the number of binary collisions. In the absence of shadowing corrections, this term dominates at mid…

Nuclear Theory · Physics 2009-11-07 A. Capella , D. Sousa

A regression problem with dependent data is considered. Regularity assumptions on the dependency of the data are introduced, and it is shown that under suitable structural assumptions on the regression function a deep recurrent neural…

Machine Learning · Statistics 2020-11-03 Michael Kohler , Adam Krzyzak

A popular measure of association is the tail dependence coefficient which measures the strength of dependence in either the lower-left or upper-right tail of a bivariate distribution. In this paper, we develop the idea of quantile…

Statistics Theory · Mathematics 2024-02-09 A. Dastbaravarde , A. Dolati

The energy and centrality dependence of the charged multiplicity per participant nucleon is shown to be able to differentiate between final-state saturation and fixed scale pQCD models of initial entropy production in high-energy heavy-ion…

Nuclear Theory · Physics 2009-10-09 Xin-Nian Wang , Mikols Gyulassy

In this note we prove a large deviation bound on the sum of random variables with the following dependency structure: there is a dependency graph $G$ with a bounded chromatic number, in which each vertex represents a random variable.…

Probability · Mathematics 2007-06-13 Ronen Gradwohl , Amir Yehudayoff

The biaffine parser of Dozat and Manning (2017) was successfully extended to semantic dependency parsing (SDP) (Dozat and Manning, 2018). Its performance on graphs is surprisingly high given that, without the constraint of producing a tree,…

Computation and Language · Computer Science 2024-02-13 Marie Candito

In this article we propose an extension to the typed natural deduction calculus TNDPQ to model verification of individual fairness and intersectionality in probabilistic classifiers. Their interpretation is obtained by formulating specific…

Logic in Computer Science · Computer Science 2025-10-28 Leonardo Ceragioli , Giuseppe Primiero

Constituent and dependency representation for syntactic structure share a lot of linguistic and computational characteristics, this paper thus makes the first attempt by introducing a new model that is capable of parsing constituent and…

Computation and Language · Computer Science 2019-09-27 Junru Zhou , Shuailiang Zhang , Hai Zhao

The extent of parallelization of a loop is largely determined by the dependences between its statements. While dependence free loops are fully parallelizable, those with loop carried dependences are not. Dependence distance is a measure of…

Programming Languages · Computer Science 2013-11-14 Archana Kale , Amitkumar Patil , Supratim Biswas

This paper provides a formal model for the burden of persuasion in dialogues, and in particular, in legal proceedings. The model shows how an allocation of the burden of persuasion may induce single outcomes in dialectical contexts in…

Logic in Computer Science · Computer Science 2020-09-23 Roberta Calegari , Giovanni Sartor

Many tools exist to detect dependence between random variables, a core question across a wide range of machine learning, statistical, and scientific endeavors. Although several statistical tests guarantee eventual detection of any…

Machine Learning · Statistics 2026-03-23 Nathaniel Xu , Feng Liu , Danica J. Sutherland

We wish to test whether a real-valued variable $Z$ has explanatory power, in addition to a multivariate variable $X$, for a binary variable $Y$. Thus, we are interested in testing the hypothesis $\mathbb{P}(Y=1\, | \, X,Z)=\mathbb{P}(Y=1\,…

Methodology · Statistics 2025-12-23 John H. J. Einmahl , Denis Kojevnikov , Bas J. M. Werker