Graphical models for marked point processes based on local independence

31 October 2007

Papers citing "Graphical models for marked point processes based on local independence"

46 / 46 papers shown

Title
Time After Time: Deep-Q Effect Estimation for Interventions on When and What to do Yoav Wald M. Goldstein Yonathan Efroni Wouter A. C. van Amsterdam Rajesh Ranganath CML 76 0 0 20 Mar 2025
An Asymmetric Independence Model for Causal Discovery on Path Spaces Georg Manten Cecilia Casolo Søren Wengel Mogensen Niki Kilbertus 59 0 0 12 Mar 2025
Identifying Drift, Diffusion, and Causal Structure from Temporal Snapshots Vincent Guan Joseph Janssen Hossein Rahmani Andrew Warren Stephen X. Zhang Elina Robeva Geoffrey Schiebinger DiffM 41 2 0 30 Oct 2024
A matrix algebra for graphical statistical models Qingyuan Zhao 42 1 0 22 Jul 2024
Dynamic Structural Causal Models Philip A. Boeken Joris M. Mooij 44 2 0 03 Jun 2024
A sparsity test for multivariate Hawkes processes Antoine Lotz 16 2 0 14 May 2024
Mitigating Label Noise on Graph via Topological Sample Selection Yuhao Wu Jiangchao Yao Xiaobo Xia Jun-chen Yu Ruxing Wang Bo Han Tongliang Liu NoLa 47 2 0 04 Mar 2024
Signature Kernel Conditional Independence Tests in Causal Discovery for Stochastic Processes Georg Manten Cecilia Casolo E. Ferrucci Søren Wengel Mogensen C. Salvi Niki Kilbertus CML BDL 44 8 0 28 Feb 2024
Partial correlation graphs for continuous-parameter time series Vicky Fasen-Hartmann Lea Schenk 13 1 0 30 Jan 2024
Granger Causal Inference in Multivariate Hawkes Processes by Minimum Message Length Katerina Hlaváčková-Schindler A. Melnykova I. Tubikanec 16 1 0 05 Sep 2023
Hawkes Processes with Delayed Granger Causality Chao Yang Hengyuan Miao Shuang Li 13 0 0 11 Aug 2023
Learning Behavioral Representations of Routines From Large-scale Unlabeled Wearable Time-series Data Streams using Hawkes Point Process Tiantian Feng Brandon M. Booth Shrikanth Narayanan AI4TS 17 0 0 10 Jul 2023
Temporal Causal Mediation through a Point Process: Direct and Indirect Effects of Healthcare Interventions Caglar Hizli S. T. John A. Juuti Tuure Saarinen Kirsi Pietiläinen Pekka Marttinen CML 27 1 0 16 Jun 2023
Discovering Causal Relations and Equations from Data Gustau Camps-Valls Andreas Gerhardus Urmi Ninad Gherardo Varando Georg Martius E. Balaguer-Ballester Ricardo Vinuesa Emiliano Díaz L. Zanna Jakob Runge PINN AI4Cl AI4CE CML 35 72 0 21 May 2023
Causal Discovery from Temporal Data: An Overview and New Perspectives Chang Gong Di Yao Chuzhe Zhang Wenbin Li Jingping Bi AI4TS CML 16 17 0 17 Mar 2023
Weak equivalence of local independence graphs Søren Wengel Mogensen 21 3 0 24 Feb 2023
A Graphical Point Process Framework for Understanding Removal Effects in Multi-Touch Attribution Jun Tao Qian Chen James W. Snyder Arava Sai Kumar A. Meisami Lingzhou Xue 15 3 0 13 Feb 2023
Summary Markov Models for Event Sequences D. Bhattacharjya Saurabh Sihag Oktie Hassanzadeh Liza Bialik AI4TS 14 9 0 06 May 2022
Nonparametric Conditional Local Independence Testing Alexander Mangulad Christgau Lasse Petersen N. Hansen 14 8 0 25 Mar 2022
Identifying Causal Effects using Instrumental Time Series: Nuisance IV and Correcting for the Past Nikolaj Thams Rikke Sondergaard S. Weichwald J. Peters AI4TS CML 11 13 0 11 Mar 2022
Survival Analysis of the Compressor Station Based on Hawkes Process with Weibull Base Intensity Lu-ning Zhang Jian-wei Liu Xin Zuo 15 0 0 27 Dec 2021
Local Independence Testing for Point Processes Nikolaj Thams N. Hansen 25 1 0 25 Oct 2021
Temporal Point Process Graphical Models Yalong Lyu Huiyuan Wang Wei Lin 3DPC 17 0 0 22 Oct 2021
Scalable Marked Point Processes for Exchangeable and Non-Exchangeable Event Sequences A. Panos Ioannis Kosmidis P. Dellaportas 12 2 0 30 May 2021
A Constraint-Based Algorithm for the Structural Learning of Continuous-Time Bayesian Networks Alessandro Bregoli M. Scutari Fabio Stella CML 25 10 0 07 Jul 2020
Learnability of Timescale Graphical Event Models Philipp Behrendt AI4TS 13 0 0 25 May 2020
Graphical modeling of stochastic processes driven by correlated errors Søren Wengel Mogensen N. Hansen 22 18 0 15 May 2020
CAUSE: Learning Granger Causality from Event Sequences using Attribution Methods W. Zhang Thomas Kobber Panum S. Jha P. Chalasani David Page CML AI4TS 14 47 0 18 Feb 2020
Efficient Simulation of Sparse Graphs of Point Processes Cyrille Loïc Mascart A. Muzy Patricia Reynaud-Bouret 81 1 0 06 Jan 2020
Learning Latent Process from High-Dimensional Event Sequences via Efficient Sampling Qitian Wu Zixuan Zhang Xiaofeng Gao Junchi Yan Guihai Chen GAN 14 8 0 28 Oct 2019
Event-scheduling algorithms with Kalikow decomposition for simulating potentially infinite neuronal networks T. Phi A. Muzy Patricia Reynaud-Bouret 13 6 0 23 Oct 2019
Properties of an N Time-Slice Dynamic Chain Event Graph Rodrigo A. Collazo Jim Q. Smith 8 5 0 22 Oct 2018
Fast Estimation of Causal Interactions using Wold Processes Flavio Figueiredo Guilherme R. Borges Pedro O. S. Vaz de Melo Renato M. Assunção 29 9 0 12 Jul 2018
Causal Modeling of Dynamical Systems Stephan Bongers Tineke Blom Joris M. Mooij 15 22 0 23 Mar 2018
Markov equivalence of marginalized local independence graphs Søren Wengel Mogensen N. Hansen 14 1 0 27 Feb 2018
Unifying Markov Properties for Graphical Models Steffen Lauritzen Kayvan Sadeghi 24 0 0 20 Aug 2016
Graphical Modeling for Multivariate Hawkes Processes with Nonparametric Link Functions M. Eichler R. Dahlhaus J. Dueck 14 153 0 22 May 2016
Learning Granger Causality for Hawkes Processes Hongteng Xu Mehrdad Farajtabar H. Zha AI4TS CML 14 224 0 14 Feb 2016
Causal interpretation of stochastic differential equations Alexander Sokol N. Hansen CML 65 49 0 31 Mar 2013
Fast MCMC sampling for Markov jump processes and extensions Vinayak A. Rao Yee Whye Teh 48 117 0 23 Aug 2012
Asymmetric separation for local independence graphs Vanessa Didelez 44 20 0 27 Jun 2012
The stochastic system approach to causality with a view toward lifecourse epidemiology Daniel Commenges CML 60 1 0 26 Mar 2012
Counterfactual analyses with graphical models based on local independence K. Røysland CML 35 29 0 06 Jun 2011
Stochastic kinetic models: Dynamic independence, modularity and graphs Clive G. Bowsher 52 19 0 19 Oct 2010
A general definition of influence between stochastic processes A. Gégout‐Petit Daniel Commenges 58 20 0 22 May 2009
A martingale approach to continuous-time marginal structural models K. Røysland 55 46 0 19 Jan 2009