Zobrazeno 1 - 10
of 109
pro vyhledávání: '"Arratia, Argimiro"'
We study potential biases of popular cluster quality metrics, such as conductance or modularity. We propose a method that uses both stochastic and preferential attachment block models construction to generate networks with preset community structures
Externí odkaz:
http://arxiv.org/abs/2112.06287
Autor:
Tur, Jordi, Moriña, David, Puig, Pedro, Cabaña, Alejandra, Arratia, Argimiro, Fernández-Fontelo, Amanda
Although models for count data with over-dispersion have been widely considered in the literature, models for under-dispersion -- the opposite phenomenon -- have received less attention as it is only relatively common in particular research fields su
Externí odkaz:
http://arxiv.org/abs/2105.01557
The problem of dealing with misreported data is very common in a wide range of contexts for different reasons. The current situation caused by the Covid-19 worldwide pandemic is a clear example, where the data provided by official sources were not al
Externí odkaz:
http://arxiv.org/abs/2104.07575
The present paper introduces a new model used to study and analyse the severe acute respiratory syndrome coronavirus 2 (SARS-CoV2) epidemic-reported-data from Spain. This is a Hidden Markov Model whose hidden layer is a regeneration process with Pois
Externí odkaz:
http://arxiv.org/abs/2008.00262
Autor:
Moriña, David, Fernández-Fontelo, Amanda, Cabaña, Alejandra, Arratia, Argimiro, Ávalos, Gustavo, Puig, Pedro
The main goal of this work is to estimate the actual number of cases of Covid-19 in Spain in the period 01-31-2020 / 06-01-2020 by Autonomous Communities. Based on these estimates, this work allows us to accurately re-estimate the lethality of the di
Externí odkaz:
http://arxiv.org/abs/2007.15727
This work presents a content-based recommender system for machine learning classifier algorithms. Given a new data set, a recommendation of what classifier is likely to perform best is made based on classifier performance over similar known data sets
Externí odkaz:
http://arxiv.org/abs/1711.09708
Autor:
Arratia, Argimiro, Ortiz, Carlos E.
Separations among the first order logic ${\cal R}ing(0,+,*)$ of finite residue class rings, its extensions with generalized quantifiers, and in the presence of a built-in order are shown, using algebraic methods from class field theory. These methods
Externí odkaz:
http://arxiv.org/abs/1511.02175
Autor:
Renedo-Mirambell, Martí1 marti.renedo@upc.edu, Arratia, Argimiro2 argimiro@cs.upc.edu
Publikováno v:
R Journal. Jun2023, Vol. 15 Issue 2, p134-144. 11p.
Publikováno v:
Computational Economics; Sep2024, Vol. 64 Issue 3, p1489-1505, 17p
An Ornstein-Uhlenbeck (OU) process can be considered as a continuous time interpolation of the discrete time AR$(1)$ process. Departing from this fact, we analyse in this work the effect of iterating OU treated as a linear operator that maps a Wiener
Externí odkaz:
http://arxiv.org/abs/1210.0312