Zobrazeno 1 - 10
of 300
pro vyhledávání: '"Zheng, Xiaotian"'
We propose a constructive approach to building temporal point processes that incorporate dependence on their history. The dependence is modeled through the conditional density of the duration, i.e., the interval between successive event times, using
Externí odkaz:
http://arxiv.org/abs/2407.03774
Publikováno v:
In Aggression and Violent Behavior September-October 2024 78
We introduce a flexible and scalable class of Bayesian geostatistical models for discrete data, based on the class of nearest neighbor mixture transition distribution processes (NNMP), referred to as discrete NNMP. The proposed class characterizes sp
Externí odkaz:
http://arxiv.org/abs/2111.01840
We develop a class of nearest-neighbor mixture models that provide direct, computationally efficient, probabilistic modeling for non-Gaussian geospatial data. The class is defined over a directed acyclic graph, which implies conditional independence
Externí odkaz:
http://arxiv.org/abs/2107.07736
Autor:
Sun, Xiguang, Huang, Xinrui, Liang, Quanduo, Wang, Nan, Zheng, Xiaotian, Zhang, Qiang, Yu, Dehai
Publikováno v:
In International Journal of Biological Macromolecules June 2024 272 Part 2
Publikováno v:
In Energy Conversion and Management 15 January 2024 300
Mixture transition distribution time series models build high-order dependence through a weighted combination of first-order transition densities for each one of a specified number of lags. We present a framework to construct stationary transition mi
Externí odkaz:
http://arxiv.org/abs/2010.12696
Publikováno v:
In Sustainable Energy Technologies and Assessments December 2023 60
Publikováno v:
In Cement and Concrete Composites November 2023 144
Akademický článek
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