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Statistical seasonal prediction based on regularized regression
Timothy DelSole,
Arindam Banerjee
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Dive into the research topics of 'Statistical seasonal prediction based on regularized regression'. Together they form a unique fingerprint.
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Keyphrases
Prediction Method
100%
Dynamical Model
100%
Regularized Regression
100%
Seasonal Prediction
100%
Regression Model
66%
Sea Surface Temperature
50%
Model Output
50%
Modeling Data
33%
Laplace Operator
16%
Linear Prediction
16%
Eigenvector
16%
Large Sample Size
16%
Texas
16%
Spatial Structure
16%
Constrained Optimization Problem
16%
Temperature-based Method
16%
One-variable
16%
Regression Coefficient
16%
Smoothness Constraint
16%
Predictive Relations
16%
Numerical Software
16%
Least Absolute Shrinkage and Selection Operator (LASSO)
16%
Ridge Regression
16%
Regularized Regression Model
16%
Teleconnections
16%
Statistical Prediction Model
16%
Operator Regression
16%
Observed Anomaly
16%
Engineering
Sea Surface
100%
Model Data
66%
Laplace Operator
33%
Eigenvector
33%
Spatial Structure
33%
Constrained Optimization Problem
33%
Regression Coefficient
33%
Least Absolute Shrinkage and Selection Operator
33%
Mathematics
Dynamical Model
100%
Regression Model
83%
Eigenvector
16%
Laplace Operator
16%
Linear Prediction
16%
Constrained Optimization Problem
16%
Lasso Regression
16%
Regression Coefficient
16%
Ridge Regression
16%
Statistical Prediction
16%