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Nonparametric Estimation, Forecasts, and Model Evaluation of Spatial Temporal Point Process Models for California Seismicity.

机译：加利福尼亚地震时空时空过程模型的非参数估计，预测和模型评估。

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作者
Gordon, Joshua Seth.;
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作者单位

University of California, Los Angeles.;

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授予单位 University of California, Los Angeles.;
学科 Statistics.
学位 Ph.D.
年度 2017
页码 132 p.
总页数 132
原文格式 PDF
正文语种 eng
中图分类
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1. VORONOI RESIDUAL ANALYSIS OF SPATIAL POINT PROCESS MODELS WITH APPLICATIONS TO CALIFORNIA EARTHQUAKE FORECASTS [J] . Bray Andrew, Wong Ka, Barr Christopher D., The Annals of applied statistics . 2014,第4期

机译：空间点过程模型的VORONOI残差分析及其在加州地震预报中的应用
2. Nonparametric Estimation and Forecasting for Time-Varying Coefficient Realized Volatility Models [J] . Chen Xiangjin B., Gao Jiti, Li Degui, Journal of business & economic statistics . 2018,第1期

机译：时变系数实现的波动率模型的非参数估计与预测
3. Bayesian geoadditive modelling of climate extremes with nonparametric spatially varying temporal effects [J] . Yang Chi, Xu Jing, Li Yang International Journal of Climatology: A Journal of the Royal Meteorological Society . 2016,第12期

机译：具有非参数时变时空效应的极端气候贝叶斯地理叠加模型
4. Improved Spatial-Temporal Forecasting through Modelling of Spatial Residuals in Recent History [C] . D. Pokrajac, Z. Obradovic SIAM International Conference on Data Mining . 2001

机译：通过近期历史上的空间残差建模改进空间 - 时间预测
5. Modeling and imaging asperities on a fault plane and characterizing spatial and temporal patterns of precursory seismicity. [D] . Chen, Youlin. 2004

机译：在断层平面上对凹凸进行建模和成像，并表征前震性的时空格局。
6. Spatial–temporal modelling of fMRI data through spatially regularized mixture of hidden process models [O] . Yuan Shen, Stephen D. Mayhew, Zoe Kourtzi, -1

机译：通过隐藏过程模型的空间正则化混合对fMRI数据进行时空建模
7. Voronoi residual analysis of spatial point process models with applications to California earthquake forecasts [O] . Bray, Andrew, Wong, Ka, Barr, Christopher D., 2015

机译：基于maTLaB的空间点过程模型的Voronoi残差分析应用于加州地震预报

Nonparametric Estimation, Forecasts, and Model Evaluation of Spatial Temporal Point Process Models for California Seismicity.

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