research
∙
09/19/2023
Improving Opioid Use Disorder Risk Modelling through Behavioral and Genetic Feature Integration
Opioids are an effective analgesic for acute and chronic pain, but also ...
share
research
∙
06/19/2023
Bayesian Variable Selection in Double Generalized Linear Tweedie Spatial Process Models
Double generalized linear models provide a flexible framework for modeli...
research
∙
02/10/2023
Bayesian modeling with spatial curvature processes
Spatial process models are widely used for modeling point-referenced var...
research
∙
10/16/2020
Generalized Co-sparse Factor Regression
Multivariate regression techniques are commonly applied to explore the a...
research
∙
09/28/2020
On moments of folded and doubly truncated multivariate extended skew-normal distributions
This paper develops recurrence relations for integrals that relate the d...
research
∙
08/13/2020
Flexible Modeling of Hurdle Conway-Maxwell-Poisson Distributions with Application to Mining Injuries
While the hurdle Poisson regression is a popular class of models for cou...
research
∙
07/30/2020
Skewed link regression models for imbalanced binary response with applications to life insurance
For a portfolio of life insurance policies observed for a stated period ...
research
∙
07/29/2020
Approximate inferences for nonlinear mixed effects models with scale mixtures of skew-normal distributions
Nonlinear mixed effects models have received a great deal of attention i...
research
∙
06/14/2020
Heckman selection-t model: parameter estimation via the EM-algorithm
Heckman selection model is perhaps the most popular econometric model in...
research
∙
05/15/2020
Power laws distributions in objective priors
The use of objective prior in Bayesian applications has become a common ...
research
∙
03/12/2020
Spatial Tweedie exponential dispersion models
This paper proposes a general modeling framework that allows for uncerta...
research
∙
02/16/2020
Bayesian Spatial Homogeneity Pursuit Regression for Count Value Data
Spatial regression models are ubiquitous in many different areas such as...
research
∙
08/18/2019
Block Nearest Neighboor Gaussian processes for large datasets
This work develops a valid spatial block-Nearest Neighbor Gaussian proce...
research
∙
05/19/2018
An Extended Poisson Family of Life Distribution: A Unified Approach in Competitive and Complementary Risks
In this paper, we introduce a new approach to generate flexible parametr...
research
∙
05/15/2018
The degree profile and Gini index of random caterpillar trees
In this paper, we investigate the degree profile and Gini index of rando...
research
∙
05/01/2018