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Academy of Mathematics and Systems Science, CAS Colloquia & Seminars：Model-Guided Data Driven Extremum Seeking Control
模型引导 数据驱动 极值 控制
2023/5/5
Extremum seeking control(ESC)is a class of data-driven optimization algorithms which can drive the output of an unknown dynamic system to its optimal value with respect to some cost function by using ...
Academy of Mathematics and Systems Science, CAS Colloquia & Seminars：Dynamic copula-based nonparametric estimation of rank-tracking probabilities with longitudinal data
动态copula 纵向数据秩 跟踪概率 非参数估计
2023/5/10
The rank-tracking probability (RTP) is a useful statistical index for measuring the ``tracking ability'' of longitudinal disease risk factors in biomedical studies. A flexible nonparametric method for...
Patterns of Regional Travel Behavior: An Analysis of Japanese Hotel Reservation Data
Japanese Hotel Reservation Mixture of Poisson distributions EM-algorithm Parameter Estimation
2012/4/19
This study considers the availability of room opportunities collected from a Japanese hotel booking site. We empirically analyze the daily number of room opportunities for four areas. To determine the...
A New Method of Data Compression in Multisensor Estimation Fusion
Parameter estimation data compression Bayesian decision
2011/11/7
Consider the decentralized estimation of an unknown parameter by bandwidth constrained sensor network with a fusion center. Local sensors make observations which are linearly scaled versions of these ...
Evaluating Data Assimilation Algorithms
Data Assimilation Algorithms Data Analysis Statistics and Probability
2011/10/9
Abstract: Data assimilation refers to methodologies for the incorporation of noisy observations of a physical system into an underlying model in order to infer the properties of the state of the syste...
Limit theorems for bifurcating autoregressive processes with missing data
bifurcating autoregressive process missing data
2011/1/20
We study the asymptotic behavior of the least squares estimators of the unknown parameters of bifurcating autoregressive processes when some of the data are missing.
Nonlinear Stochastic Model of Return matching to the data of New York and Vilnius Stock Exchanges
Nonlinear Stochastic Model Return matching Vilnius Stock Exchanges
2010/4/27
We scale and analyze the empirical data of return from New York and Vilnius stock exchanges matching it to the same nonlinear double stochastic model of return in financial market.