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An Adaptive Surrogate Modeling Based on Deep Neural Networks for Large-Scale Bayesian Inverse Problems 期刊论文
COMMUNICATIONS IN COMPUTATIONAL PHYSICS, 2020, 卷号: 28, 期号: 5, 页码: 2180-2205
作者:  Yan, Liang;  Zhou, Tao
收藏  |  浏览/下载：131/0  |  提交时间：2021/01/14
Bayesian inverse problems  deep neural networks  multi-fidelity surrogate modeling  Markov chain Monte Carlo  
Time-Inconsistent Stochastic LQ Problem with Regime Switching 期刊论文
JOURNAL OF SYSTEMS SCIENCE & COMPLEXITY, 2020, 页码: 22
作者:  Si, Binbin;  Ni, Yuan-Hua;  Zhang, Ji-Feng
收藏  |  浏览/下载：152/0  |  提交时间：2020/09/23
Forward-backward stochastic difference equation  open-loop equilibrium control  regime switching  stochastic linear-quadratic problem  time inconsistency  
ADAPTIVE LOW-NONNEGATIVE-RANK APPROXIMATION FOR STATE AGGREGATION OF MARKOV CHAINS 期刊论文
SIAM JOURNAL ON MATRIX ANALYSIS AND APPLICATIONS, 2020, 卷号: 41, 期号: 1, 页码: 244-278
作者:  Duan, Yaqi;  Wang, Mengdi;  Wen, Zaiwen;  Yuan, Yaxiang
收藏  |  浏览/下载：142/0  |  提交时间：2020/09/23
Markov chain  state aggregation  nonnegative matrix factorization  atomic norm  proximal alternating linearized minimization  
Confidence intervals for Markov chain transition probabilities based on next generation sequencing reads data 期刊论文
QUANTITATIVE BIOLOGY, 2020, 卷号: 8, 期号: 2, 页码: 143-154
作者:  Wan, Lin;  Kang, Xin;  Ren, Jie;  Sun, Fengzhu
收藏  |  浏览/下载：182/0  |  提交时间：2021/01/14
DNA  FREQUENCIES  PREDICTION  Markov chains  next generation sequencing  transition probabilities  confidence intervals