Decomposition of Seasonality and Long-term Trend in Seismological Data: A Bayesian Modelling of Earthquake Detection Capability
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Publication:2802872
DOI10.1111/anzs.12079zbMath1334.86009OpenAlexW2125977504MaRDI QIDQ2802872
Publication date: 27 April 2016
Published in: Australian & New Zealand Journal of Statistics (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1111/anzs.12079
smoothingpoint processesseasonal adjustmentcubic B-splineBayesian methods (smoothing, nonparametric, semiparametric)maximum likelihood estimation and inference
Bayesian inference (62F15) Geostatistics (86A32) Detection theory in information and communication theory (94A13)
Cites Work
- Unnamed Item
- Space-time point-process models for earthquake occurrences
- Smoothness priors analysis of time series
- Information criteria and statistical modeling.
- Empirical Bayes Age-Period-Cohort Analysis of Retrospective Incidence Data
- Introduction to Time Series Modeling
- Accurate Approximations for Posterior Moments and Marginal Densities
- SEASONAL ADJUSTMENT BY A BAYESIAN MODELING
- An Introduction to the Theory of Point Processes
- Nonparametric Roughness Penalties for Probability Densities
- A Simplex Method for Function Minimization
- An Introduction to the Theory of Point Processes
- Maximum penalized likelihood estimation. Vol. 1: Density estimation
- A new look at the statistical model identification