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Bayesian predictive inference for linear regression models with t-errors
Azizur Rahman
Data Science and Engineering Research Unit
DaMRG - Data Mining Research Group
Machine Vision and Digital Health (MaViDH) Research Group
Cyber Security Research Group (CSRG)
Imaging and Sensing Research Group
Health Services Research Group
Computing, Mathematics and Engineering
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Keyphrases
Linear Regression Model
100%
Predictive Inference
100%
Shape Parameter
100%
Bayesian Predictive Inference
100%
Bayesian Approach
100%
Multiple Regression Model
100%
Multivariate T-distribution
100%
Scale Parameter
50%
Error Distribution
50%
Statistical Methods
50%
Regression Parameters
50%
Structural Relationship
50%
T-distribution
50%
Simple Regression Model
50%
Location-scale
50%
Predictive Distribution
50%
Location Parameter
50%
Response Matrix
50%
Degrees of Freedom
50%
Normal Error
50%
Structural Distribution
50%
T-matrix
50%
Model Robustness
50%
Prior Robustness
50%
Mathematics
Bayesian
100%
Future Response
100%
Linear Regression Model
100%
Predictive Inference
100%
Matrix
75%
Multiple Regression Model
50%
Shape Parameter
50%
Bayesian Approach
50%
Conditionals
25%
Statistical Approach
25%
Simple Regression Model
25%
T-Distribution
25%
Regression Parameter
25%
Statistical Method
25%
Error Distribution
25%
Scale Parameter
25%
Classical Method
25%
Degree of Freedom
25%
Engineering
Bayesian Approach
100%
Shape Parameter
100%
Degree of Freedom
50%
Scale Parameter
50%
Location Parameter
50%
Classical Method
50%
Error Distribution
50%