Statistical and numerical algorithms

Statistical and numerical algorithms is a research topic within Applied Mathematics. Science Explorer counts 12k research works in it since 1950. 10.1% of them reached the world's top 10% most cited for their field and year.

This cluster of papers focuses on the theory, algorithms, and applications of Total Least Squares (TLS) methods, including Singular Spectrum Analysis, weighted least squares, geodetic transformations, forecasting models, errors-in-variables models, structured low-rank approximation, parameter estimation, and time series analysis.

• Total Least Squares
• Singular Spectrum Analysis
• Weighted Least Squares
• Geodetic Transformations
• Forecasting
• Errors-in-Variables Models
• Structured Low-Rank Approximation
• Parameter Estimation
• Time Series Analysis
• Regression