Applications of Time Series Analysis in Astronomy and Meteorology
时间序列分析在天文学和气象学中的应用AI 解读 ↓
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AI 根据所提供的论文材料归类:目录明确列出时间序列方法、即时预测与预测、变化点分析,支持这三个方向;所列应用并非宏观经济数据。
时间序列分析在天文学和气象学中的应用AI 解读 ↓
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Part 1 Time series - theory and methodology: A short history of time series, M.B. Priestley Frequency estimation, E.J. Hannan et al Asymptotic expansion of estimators for diffusions with small noises, N. Yoshida Spatial-temporal spectral analysis with random sampling, I-Shang Chow, Ken-Shin Lii Detection of periodicities, M.B. Priestley Spectral and multivariate probability density estimation of continuous time stationary processes from randomly sampled data, Elias Masry Minimum distance approach in parametric estimation for diffusion processes, Yu. Kutoyants From data to models, D. Guegan Filtering of spatial-time series, G. Cariolaro Time-domain and frequency-domain analysis of non linear astronomical time series, T. Subba Rao. Part 2 Applications to astronomy: Time series problems in astronomy: an introduction, Eric D. Feigelson Time delay estimates for Q0957+561A,B , David J. Thomson, Rudy Schild Continuum power spectrum components in x-ray sources: detailed modelling and search for coherent periodicities, L. Stella et al Wavelet methods in the astronomical time series analysis, Jeffrey D. Scargle Non parametric methods for shift and periodicity detection in irregular measured data, Jaan Pelt A multi-channel, cross-spectral technique for calculating best-fit time-delay spectra, Brian Vaughan Period analysis of variable stars, J. Cuypers Change analysis of astronomical data, F. Lombard, C. Koen Doppler tomography of starspot distributions on stellar surfaces, a.C. Cameron Nowcasting astronomical seeing and forecasting telescope environment for the ESO VLT, Fionn Murtagh, Marc Sarazin Linear and non linear modelling of the geomagnetic aa indices, Gy Terdik A sample of astronomical time series, Paul Hertz, Eric D. Feigelson. Part 3 Applications to meteorology and climatology: Problems and examples in the estimation of fractal dimension from meteorological and earthquake data, D. Vere-Jones et al Characterizing trends in climatological time series: an application to Brera Observatory (Milan) rainfall series, R. Sneyers et al Applications of singular spectrum analysis to climatological time series, R. Vautard, C.A. Pires Change points in hydrometeorlogical time series, Pierre Hubert Detection of pollution signals in tree-ring series using AR processes and neural networks, J. Guiot, L. Tessier Statistical verification studies and future scenarios of modelled climate change due to the greenhouse effect, Christian D. Schonwiese Controlling the homogeneity of a long meterological series: the series of Padova (1725 - today), Dario Camuffo, Franco Zardini.
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