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Uncertainty in the estimation of the postmortem interval based on rectal temperature measurements: A Bayesian approach
(Elsevier Ireland, 2020-12)
In this work, the postmortem interval is estimated by means of Bayesian inference using rectal temperature data from a published database. First, a systematic analysis of the uncertainties in each of the model parameters ...
Review of bayesian analysis in additive hazards model
(Asian Journal of Probability and Statistics, 2019-07)
In Survival Analysis, the focus of interest is a time $T^*$ until the occurrence of some event. A set of explanatory variables (denoted by a vector $Z$) is considered to analyze if there is a relationship between any of ...
A Bayesian bias updating procedure for automatic adaptation of soft sensors
(Pergamon-Elsevier Science Ltd, 2021-04)
Straightforward bias updating procedures for online adjustment of soft sensors (SS) are of interest for industrial processes in which quality or production variables cannot be measured online. This work proposes a Bayesian ...
Bayesian network semantics for Petri nets
(Elsevier Science, 2020-02)
Recent work by the authors equips Petri occurrence nets (PN) with probability distributions which fully replace nondeterminism. To avoid the so-called confusion problem, the construction imposes additional causal dependencies ...
Bayesian inference of constitutive parameters from video data of the impact dynamics of a ball
(Springer, 2020-04-01)
The trajectory of a ball impacting with an angle on a rigid boundary is recorded with a high-speed camera and the dynamics is reconstructed in a computer. Several experiments are carried out in order to obtain statistical ...
Dynamic optimization of bioreactors using probabilistic tendency models and Bayesian active learning
(Pergamon-Elsevier Science Ltd, 2013-01)
Due to the complexity of metabolic regulation, first-principles models of bioreactor dynamics typically have built-in errors (structural and parametric uncertainty) which give rise to the need for obtaining relevant data ...
Bayesian validation of grammar productions for the language of thought
(Public Library of Science, 2018-07)
Probabilistic proposals of Language of Thoughts (LoTs) can explain learning across different domains as statistical inference over a compositionally structured hypothesis space. While frameworks may differ on how a LoT may ...
Using already solved cases of a mass disaster event for prioritizing the search among remaining victims: a Bayesian approach
(Nature, 2020-03-19)
This work presents a new method for assisting in the identification process of missing persons in several contexts, such as enforced disappearances. We apply a Bayesian technique to incorporate non-genetic variables in the ...
Cortical-like dynamics in recurrent circuits optimized for sampling-based probabilistic inference
(Nature Publishing Group, 2020-08)
Sensory cortices display a suite of ubiquitous dynamical features, such as ongoing noise variability, transient overshoots and oscillations, that have so far escaped a common, principled theoretical account. We developed ...
Phylogenetic relationships in Bulbostylis (Abildgaardieae: Cyperaceae) inferred from nuclear and plastid DNA sequence data
(Taylor & Francis, 2018-07)
Previous molecular phylogenetic analyses of the family Cyperaceae based on rbcL sequences showed Bulbostylis as paraphyletic, with B. atrosanguinea and B. hispidula forming a clade with Nemum spadiceum. On the contrary, ...