Zobrazeno 1 - 10
of 159
pro vyhledávání: '"Mena, Ramsés H."'
The nonparametric view of Bayesian inference has transformed statistics and many of its applications. The canonical Dirichlet process and other more general families of nonparametric priors have served as a gateway to solve frontier uncertainty quant
Externí odkaz:
http://arxiv.org/abs/2308.11868
Autor:
Martínez, Asael Fabian, Chaudhuri, Somnath, Díaz-Avalos, Carlos, Juan, Pablo, Mateu, Jorge, Mena, Ramsés H.
An unsupervised classification method for point events occurring on a network of lines is proposed. The idea relies on the distributional flexibility and practicality of random partition models to discover the clustering structure featuring observati
Externí odkaz:
http://arxiv.org/abs/2207.10566
Autor:
Rodríguez, Carlos E., Mena, Ramsés H.
Information of 1.6 million patients identified as SARS-CoV-2 positive in Mexico is used to understand the relationship between comorbidities, symptoms, hospitalizations and deaths due to the COVID-19 disease. Using the presence or absence of these la
Externí odkaz:
http://arxiv.org/abs/2104.07172
Discrete random probability measures are a key ingredient of Bayesian nonparametric inferential procedures. A sample generates ties with positive probability and a fundamental object of both theoretical and applied interest is the corresponding rando
Externí odkaz:
http://arxiv.org/abs/2101.07607
Autor:
Gil-Leyva, María F., Mena, Ramsés H.
Our object of study is the general class of stick-breaking processes with exchangeable length variables. These generalize well-known Bayesian non-parametric priors in an unexplored direction. We give conditions to assure the respective species sampli
Externí odkaz:
http://arxiv.org/abs/2008.04475
Autor:
Wehrhahn, Claudia, Fuentes-García, Ruth, Mena, Ramsés H., Leisen, Fabrizio, González-Villalpando, Maria Elena, González-Villalpando, Clicerio
Cardiovascular disease lead the cause of death world wide and several studies have been carried out to understand and explore cardiovascular risk markers in normoglycemic and diabetic populations. In this work, we explore the association structure be
Externí odkaz:
http://arxiv.org/abs/2007.11700
Autor:
Mena, Ramsés H., Velasco-Hernandez, Jorge X., Mantilla-Beniers, Natalia B., Carranco-Sapiéns, Gabriel A., Benet, Luis, Boyer, Denis, Castillo, Isaac Pérez
Publikováno v:
Physical Biology 17 (2020), 065001
Epidemiological models contain a set of parameters that must be adjusted based on available observations. Once a model has been calibrated, it can be used as a forecasting tool to make predictions and to evaluate contingency plans. It is customary to
Externí odkaz:
http://arxiv.org/abs/2005.02294
Publikováno v:
Electron. J. Statist., Volume 14, Number 1 (2020), 1479-1507
A new class of nonparametric prior distributions, termed Beta-Binomial stick-breaking process, is proposed. By allowing the underlying length random variables to be dependent through a Beta marginals Markov chain, an appealing discrete random probabi
Externí odkaz:
http://arxiv.org/abs/1908.06602
Failure times of a machinery cannot always be assumed independent and identically distributed, e.g. if after reparations the machinery is not restored to a same-as-new condition. Framed within the renewal processes approach, a generalization that con
Externí odkaz:
http://arxiv.org/abs/1905.05145
This work presents a construction of stationary Markov models with negative-binomial marginal distributions. A simple closed form expression for the corresponding transition probabilities is given, linking the proposal to well-known classes of birth
Externí odkaz:
http://arxiv.org/abs/1812.07271