Autoregressive statistical modeling of a Peru margin multi-proxy holocene record shows correlation not causation, flickering regimes and persistence
DOI10.1007/S10955-019-02391-4zbMath1441.86010OpenAlexW2979424405MaRDI QIDQ781831
Mark Altabet, Baylor Fox-Kemper, Charles E. Lawrence, Timothy Herbert, Seonmin Ahn
Publication date: 20 July 2020
Published in: Journal of Statistical Physics (Search for Journal in Brave)
Full work available at URL: https://www.clim-past-discuss.net/cp-2018-1/
Applications of statistics to economics (62P20) Time series, auto-correlation, regression, etc. in statistics (GARCH) (62M10) Inference from stochastic processes and spectral analysis (62M15) Geostatistics (86A32)
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Cites Work
- Unnamed Item
- Rational-expectations econometric analysis of changes in regime. An investigation of the term structure of interest rates
- A New Approach to the Economic Analysis of Nonstationary Time Series and the Business Cycle
- Investigating Causal Relations by Econometric Models and Cross-spectral Methods
- Distinct metastable atmospheric regimes despite nearly Gaussian statistics: A paradigm model
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