Evaluation of interpolants in their ability to fit seismometric time series

DOI10.3390/MATH3030666zbMath1331.86014OpenAlexW2119688685MaRDI QIDQ901437

Kanadpriya Basu, Ritwik Sinha, Laura Serpa, Maria Christina Mariani

Publication date: 12 January 2016

Published in: Mathematics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.3390/math3030666

zbMATH Keywords

geophysicsinterpolation methodsstatistical smoothingspline smoothingseismic dataLoess methods

Mathematics Subject Classification ID

Nonparametric regression and quantile regression (62G08) Numerical smoothing, curve fitting (65D10) Time series, auto-correlation, regression, etc. in statistics (GARCH) (62M10) Seismology (including tsunami modeling), earthquakes (86A15)

Related Items (1)

Imbalanced regression and extreme value prediction

Cites Work

• A multilevel algorithm for the biharmonic problem
• Spline interpolation techniques applied to the study of geophysical data
• Ornstein-Uhlenbeck processes for geophysical data analysis
• Local regression type methods applied to the study of geophysics and high frequency financial data
• Locally Weighted Regression: An Approach to Regression Analysis by Local Fitting

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