搜索结果: 1-6 共查到“会议中心 Time series”相关记录6条 . 查询时间(0.156 秒)
Academy of Mathematics and Systems Science, CAS Colloquia & Seminars：Estimating Time-Varying Networks for High-Dimensional Time Series
高维 时间序列 时变网络
2023/4/25
We explore time-varying networks for high-dimensional locally stationary time series, using the large VAR model framework with both the transition and (error) precision matrices evolving smoothly over...
Academy of Mathematics and Systems Science, CAS Colloquia & Seminars：Policy Choice in Time Series by Empirical Welfare Maximization
经验福利 最大化 时间序列 政策选择
2023/4/25
This paper develops a novel method for policy choice in a dynamic setting where the available data is a multivariate time series. Building on the statistical treatment choice framework, we propose Tim...
Academy of Mathematics and Systems Science, CAS Colloquia & Seminars：Calculation of high-order harmonic generation of atoms and molecules by combining time series prediction and neural networks
时间序列预测 神经网络计算 原子分子 高阶谐波生成
2023/5/9
High-order harmonic generation (HHG) from the interaction of ultra-intense laser pulses with atoms is an important tabletop short-wave coherent light source. Accurate quantum simulations of it present...
Academy of Mathematics and Systems Science, CAS Colloquia & Seminars：Modeling normalcy-dominant ordinal time series: An application to air quality level
正态主导 有序时间序列 建模 空气质量水平
2023/5/10
Inspired by the study of air quality level data, we propose a new model for the normalcy-dominant ordinal time series. The proposed model is based on a new zero-one-inflated bounded Poisson distributi...
Academy of Mathematics and Systems Science, CAS Colloquia & Seminars： Modeling normalcy-dominant ordinal time series: An application to air quality level
正态主导 有序时间序列 建模 空气质量水平
2023/5/10
Inspired by the study of air quality level data, we propose a new model for the normalcy-dominant ordinal time series. The proposed model is based on a new zero-one-inflated bounded Poisson distributi...
三亚国际数学论坛：Complex Time Series Modelling and Forecasting
三亚国际数学论坛 Complex Time Series Modelling Forecasting
2017/11/24
The purpose of this workshop is to bring together the leading experts, active scholars and young researchers in Dynamic Network, Spatio-Temporal Processes, and Functional Time Series under the umbrell...