中文版 | English

在结果中检索

CSpace

浏览/检索结果: 共9条，第1-9条 帮助

限定条件    
已选(0)清除 条数/页：   排序方式：
BiTSC2: Bayesian inference of tumor clonal tree by joint analysis of single-cell SNV and CNA data 期刊论文
BRIEFINGS IN BIOINFORMATICS, 2022, 页码: 12
作者:  Chen, Ziwei;  Gong, Fuzhou;  Wan, Lin;  Ma, Liang
收藏  |  浏览/下载：159/0  |  提交时间：2022/06/21
single-cell DNA sequencing  intra-tumor heterogeneity  single nucleotide variation  copy number alteration  Bayesian modeling  cancer evolution  
An interval decomposition-ensemble approach with data-characteristic-driven reconstruction for short-term load forecasting 期刊论文
APPLIED ENERGY, 2022, 卷号: 306, 页码: 16
作者:  Yang, Dongchuan;  Guo, Ju-E;  Sun, Shaolong;  Han, Jing;  Wang, Shouyang
收藏  |  浏览/下载：117/0  |  提交时间：2022/04/02
Short-term load forecasting  Bivariate empirical mode decomposition  Decomposition-ensemble approach  Reconstruction  Bayesian optimization  Long short-term memory network  
Clustering Hidden Markov Models With Variational Bayesian Hierarchical EM 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2021, 页码: 15
作者:  Lan, Hui;  Liu, Ziquan;  Hsiao, Janet H.;  Yu, Dan;  Chan, Antoni B.
收藏  |  浏览/下载：136/0  |  提交时间：2022/04/02
Hidden Markov models  Bayes methods  Data models  Computational modeling  Mixture models  Clustering algorithms  Analytical models  Clustering  hidden Markov mixture model (H3M)  hierarchical EM  variational Bayesian (VB)  
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  
Modeling basketball games by inverse Gaussian processes 期刊论文
COMMUNICATIONS IN STATISTICS-SIMULATION AND COMPUTATION, 2020, 页码: 11
作者:  Tian, Xinyu;  Gao, Yiran;  Shi, Jian
收藏  |  浏览/下载：163/0  |  提交时间：2020/09/23
Bayesian method  Betting  In-game prediction  Inverse Gaussian process  
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：166/0  |  提交时间：2019/03/11
Bayesian inverse problems  Multi-fidelity polynomial chaos  Surrogate modeling  Markov chain Monte Carlo  
AN ADAPTIVE MULTIFIDELITY PC-BASED ENSEMBLE KALMAN INVERSION FOR INVERSE PROBLEMS 期刊论文
INTERNATIONAL JOURNAL FOR UNCERTAINTY QUANTIFICATION, 2019, 卷号: 9, 期号: 3, 页码: 205-220
作者:  Yan, Liang;  Zhou, Tao
收藏  |  浏览/下载：156/0  |  提交时间：2020/01/10
Bayesian inverse problems  ensemble Kalman inversion  multifidelity polynomial chaos  surrogate modeling  
MultiWaver 2.0: modeling discrete and continuous gene flow to reconstruct complex population admixtures 期刊论文
EUROPEAN JOURNAL OF HUMAN GENETICS, 2019, 卷号: 27, 期号: 1, 页码: 133-139
作者:  Ni, Xumin;  Yuan, Kai;  Liu, Chang;  Feng, Qidi;  Tian, Lei;  Ma, Zhiming;  Xu, Shuhua
收藏  |  浏览/下载：262/0  |  提交时间：2019/03/05
MSIQ: JOINT MODELING OF MULTIPLE RNA-SEQ SAMPLES FOR ACCURATE ISOFORM QUANTIFICATION 期刊论文
ANNALS OF APPLIED STATISTICS, 2018, 卷号: 12, 期号: 1, 页码: 510-539
作者:  Li, Wei Vivian;  Zhao, Anqi;  Zhang, Shihua;  Li, Jingyi Jessica
收藏  |  浏览/下载：191/0  |  提交时间：2018/07/30
Isoform abundance estimation  joint inference from multiple samples  RNA sequencing  Bayesian hierarchical models  Gibbs sampling  data heterogeneity