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05/28/2023
A Bayesian Approach for Clustering Constant-wise Change-point Data
Change-point models deal with ordered data sequences. Their primary goal...
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03/16/2023
Variational Bayes Inference of Survival Data using Log-logistic Accelerated Failure Time Model
The log-logistic regression model is one of the most commonly used accel...
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03/06/2023
Bayesian Adaptive Selection of Variables for Function-on-Scalar Regression Models
Considering the field of functional data analysis, we developed a new Ba...
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04/06/2022
Bayesian Adaptive Selection of Basis Functions for Functional Data Representation
Considering the context of functional data analysis, we developed and ap...
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06/21/2021
Aggregated functional data model applied on clustering and disaggregation of UK electrical load profiles
Understanding electrical energy demand at the consumer level plays an im...
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06/05/2021
Parameter Estimation for Grouped Data Using EM and MCEM Algorithms
Nowadays, the confidentiality of data and information is of great import...
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04/10/2015