Regularized Modal Regression on Markov-dependent Observations: A Theoretical Assessment.
Tieliang GongYuxin DongHong ChenBo DongWei FengChen LiPublished in: CoRR (2021)
Keyphrases
- regression model
- regression algorithm
- markov chain
- regression problems
- regression analysis
- model selection
- probabilistic model
- least squares
- modal logic
- risk minimization
- estimation problems
- regression methods
- reproducing kernel hilbert space
- markov model
- gaussian processes
- support vector regression
- data sets
- cross validation
- state space
- support vector
- objective function
- knowledge base