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This paper extends the work of Arcidiacono and Miller (2011, 2019) by introducing a novel characterization of finite dependence within dynamic discrete choice models, demonstrating that numerous models display 2-period finite dependence. We…

Econometrics · Economics 2024-05-22 Yu Hao , Hiroyuki Kasahara

We present the proofs of the conjectures mentioned in the paper published in the proceedings of the 2024 AAAI conference [1], and discovered by the decomposition methods presented in the same paper.

Artificial Intelligence · Computer Science 2023-12-15 Jovial Cheukam-Ngouonou , Ramiz Gindullin , Nicolas Beldiceanu , Rémi Douence , Claude-Guy Quimper

Large-scale {\em ab initio} QED calculations are performed for the $2p_{3/2}$--$2p_{1/2}$ fine-structure interval of Li-like ions with nuclear charges $Z = 5\,$--$\,92$. Improved theoretical predictions are obtained by combining together…

Atomic Physics · Physics 2020-10-21 Vladimir A. Yerokhin , Mariusz Puchalski , Krzysztof Pachucki

The concept of effective complexity of an object as the minimal description length of its regularities has been initiated by Gell-Mann and Lloyd. The regularities are modeled by means of ensembles, that is probability distributions on…

Information Theory · Computer Science 2015-05-18 Nihat Ay , Markus Mueller , Arleta Szkola

Let $n_1$ and $n_2$ be two distinct primes with $\mathrm{gcd}(n_1-1,n_2-1)=4$. In this paper, we compute the autocorrelation values of generalized cyclotomic sequence of order $4$. Our results show that this sequence can have very good…

Information Theory · Computer Science 2016-03-08 Priti Kumari , Pramod Kumar Kewat

We present a Morse-theoretic characterization of collapsibility for 2-dimensional acyclic simplicial complexes by means of the values of normalized optimal combinatorial Morse functions.

Algebraic Topology · Mathematics 2020-12-16 Nicolás A. Capitelli

Within the framework of generalized combinatorial approach, the complexity is determined for infinite set of self-similar hierarchical ensembles. This complexity is shown to increase with strengthening of the hierarchy coupling to the…

Statistical Mechanics · Physics 2015-06-25 A. I. Olemskoi

Time series with multiple periodically correlated components is a complex problem with comparatively limited prior research. Most existing time series models are designed to accommodate simple periodically correlated components and tend to…

Methodology · Statistics 2025-09-29 Jie Yao , Kai Zhang , Eric Rose , Edward Valachovic

A variety of real-world systems can be modeled as bipartite networks. One of the most powerful and simple link prediction methods is Linear-Graph Autoencoder(LGAE) which has promising performance on challenging tasks such as link prediction…

Social and Information Networks · Computer Science 2020-03-20 Jungwoon Shin

Explicit formulas for complexity and unique invariant measure of the period-doubling subshift can be derived from those for the Thue-Morse subshift, obtained by Brlek, De Luca and Varricchio, and Dekking. In this note we give direct proofs…

Dynamical Systems · Mathematics 2019-02-25 Miroslava Poláková

The paper aims to investigate the classification problem of low dimensional complex none Lie filiform Leibniz algebras. There are two sources to get classification of filiform Leibniz algebras. The first of them is the naturally graded none…

Rings and Algebras · Mathematics 2007-10-02 I. S. Rakhimov , S. K. Said Husain

We introduce the new concept of joint nonlinear complexity for multisequences over finite fields and we analyze the joint nonlinear complexity of two families of explicit inversive multisequences. We also establish a probabilistic result on…

Information Theory · Computer Science 2014-11-11 Wilfried Meidl , Harald Niederreiter

We consider the Dirac equation on periodic networks (quantum graphs). The self-adjoint quasi periodic boundary conditions are derived. The secular equation allowing us to find the energy spectrum of the Dirac particles on periodic quantum…

Quantum Physics · Physics 2021-08-11 J. R. Yusupov , K. K. Sabirov , D. U. Matrasulov

The Euler quotient modulo an odd-prime power $p^r~(r>1)$ can be uniquely decomposed as a $p$-adic number of the form $$ \frac{u^{(p-1)p^{r-1}} -1}{p^r}\equiv a_0(u)+a_1(u)p+\ldots+a_{r-1}(u)p^{r-1} \pmod {p^r},~ \gcd(u,p)=1, $$ where $0\le…

Number Theory · Mathematics 2016-03-15 Zhihua Niu , Zhixiong Chen , Xiaoni Du

We first prove a one-to-one correspondence between finding Hamiltonian cycles in a cubic planar graphs and finding trees with specific properties in dual graphs. Using this information, we construct an exact algorithm for finding…

Combinatorics · Mathematics 2015-12-07 Bohao Yao , Charl Ras , Hamid Mokhtar

We present a dynamic prediction framework for binary sequences that is based on a Bernoulli generalization of the auto-regressive process. Our approach lends itself easily to variants of the standard link prediction problem for a sequence…

Machine Learning · Statistics 2020-07-24 Xiaohan Yan , Avleen S. Bijral

We analyze two-particle pseudorapidity correlations in a simple model, where strings of fluctuating length are attached to wounded nucleons.The obtained straightforward formulas allow us to understand the anatomy of the correlations, i.e.,…

Nuclear Theory · Physics 2016-03-30 Wojciech Broniowski , Piotr Bozek

By means of a binary visibility graph, we present a novel method to study random binary sequences. The behavior of the some topological properties of the binary visibility graph, such as the degree distribution, the clustering coefficient,…

Chaotic Dynamics · Physics 2010-04-14 S. Ahadpour , Y. Sadra

We introduce several new constructions for perfect periodic autocorrelation sequences and arrays over the unit quaternions. This paper uses both mathematical proofs and com- puter experiments to prove the (bounded) array constructions have…

Information Theory · Computer Science 2017-01-06 Sam Blake

Discovering a unique causal structure is difficult due to both inherent identifiability issues, and the consequences of finite data. As such, uncertainty over causal structures, such as those obtained from a Bayesian posterior, are often…

Machine Learning · Computer Science 2025-03-06 Anish Dhir , Matthew Ashman , James Requeima , Mark van der Wilk