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Hemodynamic estimation based on Consensus Clustering
International audience -
Impact of the joint detection-estimation approach on random effects group stu...
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Detection of multiple QTL with epistatic effects under a mixed inheritance mo...
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A Bayesian approach for constructing genetic maps when markers are miscoded
International audience -
Cumulative t-link threshold models for the genetic analysis of calving ease s...
International audience -
Bayesian inference on genetic merit under uncertain paternity
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Comparing performances of several response-adaptive designs in dose finding s...
The main objectives of dose-finding studies are (i) to select the best dose(s) for future phase 3 and/or (ii) to evaluate the dose-response relationship. At that phase... -
Bayesian statistical analysis applied to solar radiation modelling
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Bayesian neural network approach to short time load forecasting
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Bayesian artificial intelligence for tackling uncertainty in self-adaptive sy...
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Nonparametric Bayesian Estimition of Dynamical Systems in the Presence of Alp...
In signal processing literature, noise's sources are often assumed to be Gaussian. However, in many fields the conventional Gaussian noise assumption is inadequate and... -
Combining hydraulic knowledge and uncertain gaugings in the estimation of hyd...
[Departement_IRSTEA]Eaux [TR1_IRSTEA]ARCEAU -
Transfer of PCBs from bottom sediment to freshwater river fish: A food-web mo...
[Departement_IRSTEA]Eaux [TR1_IRSTEA]BELCA -
Estimation and Selection for the Latent Block Model on Categorical Data
This paper is dealing with estimation and model selection in the Latent Block Model (LBM) for categorical data. First, after providing sufficient conditions ensuring... -
Marine reserve spillover: Modelling from multiple data sources
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Sequential updating of a new dynamic pharmacokinetic model for caffeine in pr...
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On Fault Diagnosis using Bayesian Networks ; A Case Study of Combinational Ad...
In this paper, we use Bayesian networks to reduce the set of vectors for the test and the diagnosis of combinational circuits. We are able to integrate any fault model... -
Probabilistic methods for risks evaluation in industrial production.
In competitive industries, a reliable yield forecasting is a prime factor to accurately determine the production costs and therefore ensure profitability. Indeed,... -
Parsimonious encoding models for brain activity measured by functional MRI
Functional magnetic resonance imaging (fMRI) is a noninvasive technique allowing the study of brain activity via the measurement of hemodynamic changes. Recently, a...
