English
 
Help Privacy Policy Disclaimer
  Advanced SearchBrowse

Item

ITEM ACTIONSEXPORT
Add to Basket
 Local TagsRelease HistoryDetailsSummary
  Investigations on Bayesian uncertainty quantification with two examples

Preuss, R., & Toussaint, U. v. (2016). Investigations on Bayesian uncertainty quantification with two examples. AIP Conference Proceedings, 1757: 060001. doi:10.1063/1.4959060.

Item is

 

show all hide all

Basic

show hide
Item Permalink: http://hdl.handle.net/11858/00-001M-0000-002B-AA58-1 Version Permalink: http://hdl.handle.net/21.11116/0000-0004-5409-4
Genre: Journal Article

Files

show Files
hide Files
:
preuss_investigations.pdf (Supplementary material), 329KB
 
File Permalink:
-
Name:
preuss_investigations.pdf
Description:
-
Visibility:
Private
MIME-Type / Checksum:
application/pdf
Technical Metadata:
Copyright Date:
-
Copyright Info:
-
License:
-
:
Preuss_Investigations.pdf (Any fulltext), 225KB
View   Save
File Permalink:
http://hdl.handle.net/11858/00-001M-0000-002D-174C-8
Name:
Preuss_Investigations.pdf
Description:
-
Visibility:
Public
MIME-Type / Checksum:
application/pdf / [MD5]
Technical Metadata:
View
Copyright Date:
-
Copyright Info:
-
License:
-

Locators

show
hide
Locator:
http://dx.doi.org/10.1063/1.4959060 (Publisher version)
Description:
-

Creators

show
hide
 Creators:
Preuss, R.1, Author              
Toussaint, U. von1, Author              
Affiliations:
1Numerical Methods in Plasma Physics (NMPP), Max Planck Institute for Plasma Physics, Max Planck Society, ou_1856344              

Content

show
hide
Free keywords: Konferenzbeitrag
 Abstract: -

Details

show
hide
Language(s): eng - English
 Dates: 20152016
 Publication Status: Published in print
 Pages: 8 p.
 Publishing info: -
 Table of Contents: -
 Rev. Type: Peer
 Identifiers: DOI: 10.1063/1.4959060
 Degree: -

Event

show

Legal Case

show

Project information

show hide
Project name : Euratom Research and Training Programme 2014-2018 – EUROfusion
Grant ID : 633053
Funding program : Horizon 2020 (H2020)
Funding organization : European Commission (EC)

Source 1

show
hide
Title: AIP Conference Proceedings
  Abbreviation : AIP Conf. Proc.
  Subtitle : 35th International Workshop on Bayesian Inference and Maximum Entropy Methods in Science and Engineering (MaxEnt 2015), Potsdam, NY, 2015-07-19 to 2015-07-24
Source Genre: Journal
 Creator(s):
Affiliations:
Publ. Info: Melville, NY : AIP Publishing
Pages: - Volume / Issue: 1757 Sequence Number: 060001 Start / End Page: - Identifier: ISSN: 0094-243X
CoNE: https://pure.mpg.de/cone/journals/resource/954928528968