News

Presentations Annual Meeting are Online!

29th of March 2017
Last week, the annual meeting was a succes. We thank all ±160 attendants for making this meeting a succes!   Read more...

Room 417

22nd of March 2017
The VvS+PR Annual Meeting is held in Room 417 of the Jaarbeurs (Beatrix building).

General Members Meeting Documents online!

12th of March 2017
To see the documents, make sure you have your login information. Please find the documents at: Read more...

Nieuw administratiekantoor

5th of January 2017
Per 1 januari 2017 werkt de vereniging samen met een ander administratiekantoor. Voor vragen of informatie over lidmaatschap, contributie, en andere zaken betreffende de vereniging, graag contact opnemen met:  VvS-OR, Postbus 1058, 3860 BB  NIJKERK, Tel: 033-2473408, e-mail: admin@vvs-or.nl

Conference of European Statistics Stakeholders - call for abstracts

20th of April 2016
Submit your abstract and participate to the Second Conference of European Statistics Stakeholders, that will be held in Budapest, 20-21, October 2016. Read more...

Werk mee aan internationale normen voor statistische methoden voor Six Sigma, QFD en SPC

18th of December 2015
Voldoet mijn product aan kwaliteitseisen? Hoe kan ik mijn processen efficiënter maken? Sluit mijn product aan bij de wensen van de klant of andere stakeholders?   Read more...

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Mixture-based Nonparametric Density Estimation

When:  16th of May 2017 tot 15th of May 2017
Starttime  12:45

On Tuesday (16/05/2017), we have another interesting talk in our Probability and Statistics seminar series at TU Delft.
All of you are very welcome.

 

Yong Wang (The University of Auckland)

When: Tuesday May 16th, 12:45
Where: TU Delft, Faculty EWI, Mekelweg 4, Room D@ta.

Mixture-based Nonparametric Density Estimation

In this talk, I will describe a general framework for nonparametric density estimation that uses nonparametric or semiparametric mixture distributions. Similar to kernel-based estimation, the proposed approach uses bandwidth to control the density smoothness, but each density estimate for a fixed bandwidth is determined by likelihood maximization, with bandwidth selection carried out as model selection. This leads to much simpler models than the kernel ones, yet with higher accuracy.
Results of simulation studies and real-world data in both the univariate and the multivariate situation will be given, all suggesting that these mixture-based estimators outperform the kernel-based ones.

More details here: http://goo.gl/TXD1Sw
 
More information:  [comment]
Telephone:  [rooster_phone]
e-mail: 

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10th Conference on Extreme Value Analysis

Delft
26th of June 2017 - 30th of June 2017 Read more...

The State of the Art in the Use of Expert Judgement in Risk and Decision Analyses

Ampere Hall, EWI building, TU Delft, Mekelweg 4.
3rd of July 2017 - 5th of July 2017 Read more...

Workshop in honour of Arnold Janssen

Duesseldorf
21st of July 2017 - 21st of July 2017 Read more...

The tenth Stochastic Activity Month

EURANDOM in Eindhoven
4th of September 2017 - 8th of September 2017 Read more...


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