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Trace-class Monte Carlo Markov chains for Bayesian multivariate linear regression with non-Gaussian errors
Qian Qin
, James P. Hobert
Research output
:
Contribution to journal
›
Article
›
peer-review
5
Scopus citations
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Dive into the research topics of 'Trace-class Monte Carlo Markov chains for Bayesian multivariate linear regression with non-Gaussian errors'. Together they form a unique fingerprint.
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Mathematics
Data Augmentation
72%
Linear regression
53%
Trace
43%
Markov Operator
29%
Shape Parameter
23%
Markov chain
17%
Class
16%
Geometric Ergodicity
15%
Scale Mixture
14%
Noninformative Prior
13%
Inverse Gaussian
13%
Denote
13%
Standards
12%
Generalized Inverse
11%
Linear Regression Model
10%
Likelihood
9%
Regression Model
8%
Spectrality
8%
Imply
6%
Converge
6%
Eigenvalue
6%
Alternatives
6%
Business & Economics
Monte Carlo Markov Chain
100%
Data Augmentation
84%
Linear Regression
56%
Markov Chain
23%
Operator
19%
Ergodicity
16%
Eigenvalues
13%
Linear Regression Model
12%
Regression Model
8%
Alternatives
5%