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stat.ME2026
Variational Bayesian Sparse Negative Binomial Regression
Mitra Kharabati, Morteza Amini, Mohammad Arashi
Count data with overdispersion and high-dimensional predictors pose significant challenges in modern applications. While negative binomial regression offers a flexible modeling fra…
stat.ME2026
Variational Inference for Sparse Poisson Regression
Mitra Kharabati, Morteza Amini, Mohammad Arashi
We have utilized the non-conjugate Variational Bayesian (VB) method for the problem of the sparse Poisson regression model. To provide approximate conjugacy in the model, the likel…
stat.ME2024
Functional Regression Models with Functional Response: A New Approach and a Comparative Study
Manuel Febrero Bande, Manuel Oviedo de la Fuente, Mohammad Darbalaei +1
This paper proposes a new nonlinear approach for additive functional regression with functional response based on kernel methods along with some slight reformulation and implementa…