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Title: Bayesian Modeling of Self-Exciting Marked Point Processes with Missing Histories.

Abstract

Abstract not provided.

Authors:
; ;
Publication Date:
Research Org.:
Sandia National Lab. (SNL-NM), Albuquerque, NM (United States)
Sponsoring Org.:
USDOE National Nuclear Security Administration (NNSA)
OSTI Identifier:
1499221
Report Number(s):
SAND2018-2214PE
661066
DOE Contract Number:  
AC04-94AL85000
Resource Type:
Conference
Resource Relation:
Conference: Proposed for presentation at the UNM Statistics Colloquium held March 6, 2018 in Albuquerque, NM.
Country of Publication:
United States
Language:
English

Citation Formats

Lewis, John R, Tucker, James Derek, and Shand, Lyndsay. Bayesian Modeling of Self-Exciting Marked Point Processes with Missing Histories.. United States: N. p., 2018. Web.
Lewis, John R, Tucker, James Derek, & Shand, Lyndsay. Bayesian Modeling of Self-Exciting Marked Point Processes with Missing Histories.. United States.
Lewis, John R, Tucker, James Derek, and Shand, Lyndsay. Thu . "Bayesian Modeling of Self-Exciting Marked Point Processes with Missing Histories.". United States. https://www.osti.gov/servlets/purl/1499221.
@article{osti_1499221,
title = {Bayesian Modeling of Self-Exciting Marked Point Processes with Missing Histories.},
author = {Lewis, John R and Tucker, James Derek and Shand, Lyndsay},
abstractNote = {Abstract not provided.},
doi = {},
journal = {},
number = ,
volume = ,
place = {United States},
year = {2018},
month = {3}
}

Conference:
Other availability
Please see Document Availability for additional information on obtaining the full-text document. Library patrons may search WorldCat to identify libraries that hold this conference proceeding.

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