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September 24, 2025Open Access

The Lasso Distribution: Properties, Sampling Methods, and Applications in Bayesian Lasso Regression

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This work demonstrates properties of the lasso distribution in Bayesian lasso regression, highlighting computational advancements.

The lasso distribution introduces new probabilistic insights in Bayesian inference for high-dimensional regression.
Key properties include closed-form moment expressions and a generating function, enhancing theoretical understanding.
An efficient algorithm is presented for sampling from the lasso distribution, facilitating practical implementations.
The provided R package, BayesianLasso, supports the integration of these methodologies in applied settings.

Davoudabadi et al. (2025) studied this question.

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