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Statistical Inference for Networks of High-Dimensional Point Processes

Statistical Inference for Networks of High-Dimensional Point Processes

Journal of the American Statistical Association (JASA), 2020
15 July 2020
Xu Wang
Mladen Kolar
Ali Shojaie
ArXiv (abs)PDFHTML

Papers citing "Statistical Inference for Networks of High-Dimensional Point Processes"

8 / 8 papers shown
Joint Gaussian Graphical Model Estimation: A Survey
Joint Gaussian Graphical Model Estimation: A Survey
Katherine Tsai
Oluwasanmi Koyejo
Mladen Kolar
CML
435
34
0
19 Oct 2021
Joint Estimation and Inference for Multi-Experiment Networks of
  High-Dimensional Point Processes
Joint Estimation and Inference for Multi-Experiment Networks of High-Dimensional Point Processes
Xu Wang
Ali Shojaie
3DPC
350
5
0
23 Sep 2021
Causal Discovery in High-Dimensional Point Process Networks with Hidden
  Nodes
Causal Discovery in High-Dimensional Point Process Networks with Hidden Nodes
Xu Wang
Ali Shojaie
CML3DPC
248
4
0
22 Sep 2021
Granger Causality: A Review and Recent Advances
Granger Causality: A Review and Recent AdvancesAnnual Review of Statistics and Its Application (ARSIA), 2021
Ali Shojaie
E. Fox
CMLAI4TS
395
464
0
05 May 2021
An Adaptive Stochastic Sequential Quadratic Programming with
  Differentiable Exact Augmented Lagrangians
An Adaptive Stochastic Sequential Quadratic Programming with Differentiable Exact Augmented LagrangiansMathematical programming (Math. Program.), 2021
Sen Na
M. Anitescu
Mladen Kolar
349
58
0
10 Feb 2021
A Nonconvex Framework for Structured Dynamic Covariance Recovery
A Nonconvex Framework for Structured Dynamic Covariance Recovery
Katherine Tsai
Mladen Kolar
Oluwasanmi Koyejo
488
3
0
11 Nov 2020
Latent Network Structure Learning from High Dimensional Multivariate
  Point Processes
Latent Network Structure Learning from High Dimensional Multivariate Point ProcessesJournal of the American Statistical Association (JASA), 2020
Biao Cai
Jingfei Zhang
Yongtao Guan
401
31
0
07 Apr 2020
FuDGE: A Method to Estimate a Functional Differential Graph in a
  High-Dimensional Setting
FuDGE: A Method to Estimate a Functional Differential Graph in a High-Dimensional SettingJournal of machine learning research (JMLR), 2020
Boxin Zhao
Y Samuel Wang
Mladen Kolar
422
14
0
11 Mar 2020
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