2. Some theoretical results on the tensor elliptical distribution
3. Assessment and modeling of Interval-Valued Variables in Generalized Linear Models
5. A Simple Gibbs Sampler for learning Bayesian Network Structure
6. Estimation of Fixed Parameters in Negative Binomial Mixed Model Using Shrinkage Estimators
7. Mathematical Modeling of Behavior of Retrofitted RC Frames
8. New Adaptive Monte Carlo algorithm to solve financial option pricing problems
9. Routing optimization in Wireless Sensor Networks to increase network life by managing network energy
10. Semiparametric Models in Finite Mixture of Negative Binomial Responses
11. Some Theoretical Results on the Tensor Elliptical Distribution
12. Assessment and Modeling of Interval-Valued Variables in Generalized Linear Models
13. A Simple Gibbs Sampler for Learning Bayesian Network Structure
14. New Adaptive Monte Carlo Algorithm to Solve Financial Option Pricing Problems
15. Routing Optimization in Wireless Sensor Networks to Increase Network Life by Managing Network Energy
16. Static Sign Language Recognition Using Depth Data Based on Geometric Features
17. A Bayesian Semiparametric Random Effect Model for Meta-Regression
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