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Evaluation of a joint replenishment policy with sales-based threshold and stochastic demand 期刊论文
COMPUTERS & INDUSTRIAL ENGINEERING, 2022, 卷号: 172, 页码: 11
作者:  Wan, Guangyu;  Cao, Yu;  Wang, Shouyang
收藏  |  浏览/下载：95/0  |  提交时间：2023/02/07
Inventory control  Cost evaluation  Joint replenishment problem  Sales-based threshold  Semi-Markov chain  
Stationary distributions and ergodicity of reflection-type Markov chains 期刊论文
STATISTICS & PROBABILITY LETTERS, 2022, 卷号: 189, 页码: 8
作者:  Liu, Yujie;  Niu, Minwen;  Yao, Dacheng;  Zhang, Hanqin
收藏  |  浏览/下载：76/0  |  提交时间：2023/02/07
Markov chain  Ergodicity  Stationary distribution  Feller chain  Small set  
STOCHASTIC DIFFERENTIAL EQUATION WITH PIECEWISE CONTINUOUS ARGUMENTS: MARKOV PROPERTY, INVARIANT MEASURE AND NUMERICAL APPROXIMATION 期刊论文
DISCRETE AND CONTINUOUS DYNAMICAL SYSTEMS-SERIES B, 2022, 页码: 43
作者:  Chen, Chuchu;  Hong, Jialin;  Lu, Yulan
收藏  |  浏览/下载：144/0  |  提交时间：2023/02/07
   Invariant measure  Markov chain  weak convergence  backward Euler method  stochastic differential equations with piecewise continuous arguments  
Competitive and Cooperative Assortment Games under Markov Chain Choice Model 期刊论文
PRODUCTION AND OPERATIONS MANAGEMENT, 2021, 页码: 19
作者:  Nip, Kameng;  Wang, Changjun;  Wang, Zizhuo
收藏  |  浏览/下载：144/0  |  提交时间：2022/04/02
assortment planning  Markov chain choice model  non-cooperative game  cooperative game  
A discrete-time and finite-state Markov chain based in-play prediction model for NBA basketball matches 期刊论文
COMMUNICATIONS IN STATISTICS-SIMULATION AND COMPUTATION, 2021, 卷号: 50, 期号: 11, 页码: 3768-3776
作者:  Shi, Jian;  Song, Kai
收藏  |  浏览/下载：137/0  |  提交时间：2022/04/02
Betting  In-play predictions  Markov chain  Positive returns  Uncertainty analysis  
AN ACCELERATION STRATEGY FOR RANDOMIZE-THEN-OPTIMIZE SAMPLING VIA DEEP NEURAL NETWORKS* 期刊论文
JOURNAL OF COMPUTATIONAL MATHEMATICS, 2021, 卷号: 39, 期号: 6, 页码: 848-864
作者:  Yan, Liang;  Zhou, Tao
收藏  |  浏览/下载：160/0  |  提交时间：2022/04/02
Bayesian inverse problems  Deep neural network  Markov chain Monte Carlo  
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：172/0  |  提交时间：2021/01/14
Bayesian inverse problems  deep neural networks  multi-fidelity surrogate modeling  Markov chain Monte Carlo  
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：176/0  |  提交时间：2020/09/23
Markov chain  state aggregation  nonnegative matrix factorization  atomic norm  proximal alternating linearized minimization  
Adaptive multi-fidelity polynomial chaos approach to Bayesian inference in inverse problems 期刊论文
JOURNAL OF COMPUTATIONAL PHYSICS, 2019, 卷号: 381, 页码: 110-128
作者:  Yan, Liang;  Zhou, Tao
收藏  |  浏览/下载：197/0  |  提交时间：2019/03/11
Bayesian inverse problems  Multi-fidelity polynomial chaos  Surrogate modeling  Markov chain Monte Carlo  
Multiple Ergodicity For Reversible Markov Chains 期刊论文
ACTA MATHEMATICAE APPLICATAE SINICA-ENGLISH SERIES, 2018, 卷号: 34, 期号: 4, 页码: 863-868
作者:  Liu, Yuan
收藏  |  浏览/下载：199/0  |  提交时间：2018/11/16
Multiple recurrence  reversible Markov chain