Zobrazeno 1 - 10
of 89
pro vyhledávání: '"Ren, Yimeng"'
Multi-relational networks among entities are frequently observed in the era of big data. Quantifying the effects of multiple networks have attracted significant research interest recently. In this work, we model multiple network effects through an au
Externí odkaz:
http://arxiv.org/abs/2406.03296
The Gini coefficient is an universally used measurement of income inequality. Intersectoral GDP contributions reveal the economic development of different sectors of the national economy. Linking intersectoral GDP contributions to Gini coefficients w
Externí odkaz:
http://arxiv.org/abs/2405.07408
To reduce the repetitive and complex work of instructors, exam paper generation (EPG) technique has become a salient topic in the intelligent education field, which targets at generating high-quality exam paper automatically according to instructor-s
Externí odkaz:
http://arxiv.org/abs/2303.01042
Matrix-valued time series data are frequently observed in a broad range of areas and have attracted great attention recently. In this work, we model network effects for high dimensional matrix-valued time series data in a matrix autoregression framew
Externí odkaz:
http://arxiv.org/abs/2212.02107
The rapid growth of online network platforms generates large-scale network data and it poses great challenges for statistical analysis using the spatial autoregression (SAR) model. In this work, we develop a novel distributed estimation and statistic
Externí odkaz:
http://arxiv.org/abs/2210.16634
Autor:
Ren, Yimeng, Zhou, Longzhu, Shi, Yujie, Yu, Yanan, Xing, Weihai, Zhao, Qingyu, Zhang, Junmin, Bai, Yueyu, Li, Jing, Tang, Chaohua
Publikováno v:
In Heliyon 30 August 2024 10(16)
Autor:
Zhou, Longzhu, Ren, Yimeng, Shi, Yujie, Fan, Shijie, Zhao, Liyuan, Dong, Miaomiao, Li, Jing, Yang, Youyou, Yu, Yanan, Zhao, Qingyu, Zhang, Junmin, Tang, Chaohua
Publikováno v:
In Food Chemistry 15 December 2024 461
Vector autoregression model is ubiquitous in classical time series data analysis. With the rapid advance of social network sites, time series data over latent graph is becoming increasingly popular. In this paper, we develop a novel Bayesian grouped
Externí odkaz:
http://arxiv.org/abs/2110.04991
Autor:
Yang, Pengjie, Tian, Jinzhong, Zhang, Lu, Zhang, Hui, Yang, Gaohua, Ren, Yimeng, Fang, Jingyuan, Gu, Yang, Jiang, Weihong
Publikováno v:
In Synthetic and Systems Biotechnology March 2024 9(1):43-54
Publikováno v:
In Journal of Econometrics January 2024 238(2)