Amanote Research
Register
Sign In
Sliced Inverse Regression for High-Dimensional Time Series
Studies in Classification, Data Analysis, and Knowledge Organization
- Netherlands
doi 10.1007/978-3-642-55721-7_1
Full Text
Open PDF
Abstract
Available in
full text
Categories
Management
Computer Science Applications
Information Systems
Analysis
Date
January 1, 2003
Authors
C. Becker
R. Fried
Publisher
Springer Berlin Heidelberg
Related search
Sliced Inverse Regression
Robust Regression for Functional Time Series Data
JOURNAL OF THE JAPAN STATISTICAL SOCIETY
Retrieval of Mars Surface Physical Properties From OMEGA Hyperspectral Images Using Regularized Sliced Inverse Regression
Journal of Geophysical Research
Geochemistry
Space
Planetary Sciences
Oceanography
Paleontology
Petrology
Soil Science
Forestry
Atmospheric Science
Ecology
Geophysics
Aquatic Science
Earth
Earth-Surface Processes
Planetary Science
Technology
Water Science
Functional-Coefficient Regression Models for Nonlinear Time Series
Journal of the American Statistical Association
Uncertainty
Statistics
Probability
3d Sliced Tomographic Inverse Scattering Experimental Results
Progress In Electromagnetics Research
A Sparse Regression Mixture Model for Clustering Time-Series
Lecture Notes in Computer Science
Computer Science
Theoretical Computer Science
Volatility Estimation With Functional Gradient Descent for Very High-Dimensional Financial Time Series
Journal of Computational Finance
Applied Mathematics
Computer Science Applications
Finance
Regularized Parametric Regression for High-Dimensional Survival Analysis
Semiparametric Ultra-High Dimensional Model Averaging of Nonlinear Dynamic Time Series
SSRN Electronic Journal
