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Efficient Inference of Gaussian Process Modulated Renewal Processes with
  Application to Medical Event Data

Efficient Inference of Gaussian Process Modulated Renewal Processes with Application to Medical Event Data

19 February 2014
Thomas A. Lasko
ArXivPDFHTML

Papers citing "Efficient Inference of Gaussian Process Modulated Renewal Processes with Application to Medical Event Data"

6 / 6 papers shown
Title
Heterogeneous Multi-Task Gaussian Cox Processes
Heterogeneous Multi-Task Gaussian Cox Processes
Feng Zhou
Quyu Kong
Zhijie Deng
Fengxiang He
Peng Cui
Jun Zhu
38
2
0
29 Aug 2023
DriPP: Driven Point Processes to Model Stimuli Induced Patterns in M/EEG
  Signals
DriPP: Driven Point Processes to Model Stimuli Induced Patterns in M/EEG Signals
Cédric Allain
Alexandre Gramfort
Thomas Moreau
28
5
0
08 Dec 2021
Nonstationary Multivariate Gaussian Processes for Electronic Health
  Records
Nonstationary Multivariate Gaussian Processes for Electronic Health Records
Rui Meng
Braden C. Soper
Herbert Lee
Vincent X. Liu
John D Greene
Priyadip Ray
9
12
0
13 Oct 2019
Gaussian Process Modulated Cox Processes under Linear Inequality
  Constraints
Gaussian Process Modulated Cox Processes under Linear Inequality Constraints
A. F. López-Lopera
S. T. John
N. Durrande
18
16
0
28 Feb 2019
Modeling Irregularly Sampled Clinical Time Series
Modeling Irregularly Sampled Clinical Time Series
Satya Narayan Shukla
Benjamin M. Marlin
AI4TS
27
8
0
03 Dec 2018
Variational Inference for Gaussian Process Modulated Poisson Processes
Variational Inference for Gaussian Process Modulated Poisson Processes
C. Lloyd
Tom Gunter
Michael A. Osborne
Stephen J. Roberts
26
116
0
02 Nov 2014
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