Inferring Change Points in High-Dimensional Linear Regression via Approximate Message Passing.
Gabriel ArpinoXiaoqi LiuRamji VenkataramananPublished in: CoRR (2024)
Keyphrases
- linear regression
- message passing
- inference in graphical models
- high dimensional
- generalized linear models
- belief propagation
- least squares
- data points
- distributed systems
- probabilistic inference
- regression methods
- junction tree
- ridge regression
- nonlinear regression
- shared memory
- factor graphs
- distributed shared memory
- linear models
- markov random field
- high dimensional data
- approximate inference
- sum product algorithm
- sum product
- graphical models
- generalized belief propagation
- parameter estimation