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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 ...
Bayesian optimization of crystallization processes to guarantee end-use product properties
(Universidad Nacional del Sur, 2020-04-01)
For pharmaceutical solid products, the issue of reproducibly obtaining their desired end-use properties depending on crystal size and form is the main problem to be addressed and solved in process development. Lacking a ...
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 ...
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 ...
Simulation models and probabilities: a Bayesian defense of the value-free ideal
(Sage Publications Ltd, 2021-06)
Some philosophers of science have recently argued that the epistemic assessment of complex simulation models, such as climate models, cannot be free of the influence of social values. In their view, the assignment of ...
Sequential Bayesian Experimental Design for Process Optimization with Stochastic Binary Outcomes
(Elsevier B.V., 2018-01)
For innovative products, the issue of reproducibly obtaining their desired end-use properties at industrial scale is the main problem to be addressed and solved in process development. Lacking a reliable first-principles ...
Continuous performance monitoring of a closed-loop insulin delivery system using Bayesian Surprise
(QUALIS CAPES (UFSC), 2012-10)
The development of an artificial pancreas for the treatment of insulindependent diabetes is a big challenge for control theory. Many closed-loop algorithms have been widely evaluated for their ability to recreate, as closely ...
Speckle noise and soil heterogeneities as error sources in a Bayesian soil moisture retrieval scheme for SAR data
(Institute of Electrical and Electronics Engineers, 2012-06)
—Soil moisture retrieval from SAR images is always affected by speckle noise and uncertainties associated to soil parameters, which impact negatively on the accuracy of soil moisture estimates. In this paper a soil moisture ...
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 ...