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11/03/2022
Bayesian methods of vector autoregressions with tensor decompositions
Vector autoregressions (VARs) are popular in analyzing economic time ser...
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05/31/2022
Normalized Latent Measure Factor Models
We propose a methodology for modeling and comparing probability distribu...
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01/28/2022
A loss discounting framework for model averaging and selection in time series models
We introduce a Loss Discounting Framework for forecast combination which...
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11/23/2020
On a Bayesian Approach to Malware Detection and Classification through n-gram Profiles
Detecting and correctly classifying malicious executables has become one...
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03/23/2020
Bayesian Models Applied to Cyber Security Anomaly Detection Problems
Nowadays cyber security is an important concern for all individuals, org...
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04/12/2013