Post-regularization inference for time-varying nonparanormal graphical models

被引：0
|
作者：
Lu, Junwei [1 ]
Kolar, Mladen [2 ]
Liu, Han [1 ]
机构：
[1] Department of Operations Research and Financial Engineering, Princeton University, Princeton,NJ,08544, United States
[2] Booth School of Business, University of Chicago, Chicago,IL,60637, United States
来源：
Journal of Machine Learning Research | 2018年 / 18卷
关键词：
The authors are grateful for the support of NSF CAREER Award DMS1454377; NSF IIS1408910; NSF IIS1332109; NIH R01MH102339; NIH R01GM083084; and NIH R01HG06841. This work is also supported by an IBM Corporation Faculty Research Fund at the University of Chicago Booth School of Business. This work was completed in part with resources provided by the University of Chicago Research Computing Center;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
引用
收藏
页码：1 / 78
相关论文
共 50 条
  • [31] Semiparametric Bayesian inference for time-varying parameter regression models with stochastic volatility
    Dimitrakopoulos, Stefanos
    ECONOMICS LETTERS, 2017, 150 : 10 - 14
  • [32] Unified Inference for Sparse and Dense Longitudinal Data in Time-varying Coefficient Models
    Chen, Yixin
    Yao, Weixin
    SCANDINAVIAN JOURNAL OF STATISTICS, 2017, 44 (01) : 268 - 284
  • [33] Bayesian inference in time-varying additive hazards models with applications to disease mapping
    Chernoukhov, A.
    Hussein, A.
    Nkurunziza, S.
    Bandyopadhyay, D.
    ENVIRONMETRICS, 2018, 29 (5-6)
  • [34] mgm: Estimating Time-Varying Mixed Graphical Models in High-Dimensional Data
    Haslbeck, Jonas M. B.
    Waldorp, Lourens J.
    JOURNAL OF STATISTICAL SOFTWARE, 2020, 93 (08):
  • [35] Time-varying network models
    Crane, Harry
    BERNOULLI, 2015, 21 (03) : 1670 - 1696
  • [36] Statistical inference for time-varying ARCH processes
    Dahlhaus, Rainer
    Rao, Suhasini Subba
    ANNALS OF STATISTICS, 2006, 34 (03): : 1075 - 1114
  • [37] Latent Variable Time-varying Network Inference
    Tomasi, Federico
    Tozzo, Veronica
    Salzo, Saverio
    Verri, Alessandro
    KDD'18: PROCEEDINGS OF THE 24TH ACM SIGKDD INTERNATIONAL CONFERENCE ON KNOWLEDGE DISCOVERY & DATA MINING, 2018, : 2338 - 2346
  • [38] Causal inference for time-varying instructional treatments
    Hong, Guanglei
    Raudenbush, Stephen W.
    JOURNAL OF EDUCATIONAL AND BEHAVIORAL STATISTICS, 2008, 33 (03) : 333 - 362
  • [39] Variational single image interpolation with time-varying regularization
    Qiao, Peng
    Chen, Yunjin
    Dou, Yong
    SIGNAL PROCESSING-IMAGE COMMUNICATION, 2017, 58 : 258 - 269
  • [40] Two Gaussian Regularization Methods for Time-Varying Networks
    Jian, Jie
    Sang, Peijun
    Zhu, Mu
    JOURNAL OF AGRICULTURAL BIOLOGICAL AND ENVIRONMENTAL STATISTICS, 2024, 29 (04) : 853 - 873
12345