Lianne Ippel Email & Phone Number
@cbs.nl
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Who is Lianne Ippel? Overview
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Lianne Ippel is listed as methodologist at Centraal Bureau voor de Statistiek at Centraal Bureau voor de Statistiek, a company with 1488 employees, based in Meerssen, Limburg, Netherlands. AeroLeads shows a work email signal at cbs.nl and a matched LinkedIn profile for Lianne Ippel.
Lianne Ippel previously worked as Methodologist at Centraal Bureau Voor De Statistiek and Postdoctoral Researcher at Maastricht University Institute Of Data Science. Lianne Ippel holds Research Master, Individual In Social Context - Methodology And Statistics, Internship from Tilburg University.
Email format at Centraal Bureau voor de Statistiek
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About Lianne Ippel
Experienced Postdoctoral Researcher with a demonstrated history of working in the higher education industry. Skilled in Sociology, Lecturing, English, Data Analysis, and Quantitative Research. Strong research professional with a Research Master focused in Individual in Social Context - Methodology and Statistics from Tilburg University.
Listed skills include Statistics, Quantitative Research, Qualitative Research, English, and 9 others.
Lianne Ippel's current company
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Lianne Ippel work experience
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Postdoctoral Researcher
Lianne Ippel is a Postdoctoral researcher at the Institute for Data Science at Maastricht University. She received her PhD degree from Tilburg University for her thesis “Multilevel Modeling for Data Streams with Dependent Observations”, for which she won ‘Best Thesis Award’ at the General Online Research conference in Cologne (2018). Her research interests.
Postdoctoral Researcher
In Computer Adaptive Testing, tests are personalised to better fit the test-taker's ability. Two characteristics are of main importance: the proficiency estimate and it's standard error. The latter is used to determine whether more items should be administered or whether enough precision of the proficiency level is reached. Currently asymptotic standard.
Phd
During my PhD project, I worked on the estimation of well-known statistical models in a context where data stream in over time. Estimating models in such a situation can be troublesome because some models require estimation methods which use all data in memory. When new data keep streaming in, estimating certain statistical models becomes infeasible. In my.
Visiting Phd Student
During this period I worked on making an algorithm to be able to fit a Logistic Multilevel Model in a data stream. This is still work in progress.
Student Assistant
Teaching assistant in statistics: introduction to Methodology, introduction to Statistics, Analyses of Questionnaires, SPSS tutorials, International Summer school in Statistics
Student Assistant
analysing and updating new data about work and welfare on www.edacwowe.eu
Colleagues at Centraal Bureau voor de Statistiek
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Sekou Guirassy
Colleague at Centraal Bureau Voor De StatistiekGreater Paris Metropolitan Region, France
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PO
Pieter Oddens
Colleague at Centraal Bureau Voor De StatistiekNetherlands, Netherlands
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WP
Wim Plate
Colleague at Centraal Bureau Voor De StatistiekEcht, Limburg, Netherlands, Netherlands
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DL
Dirk Luijendijk
Colleague at Centraal Bureau Voor De StatistiekThe Randstad, Netherlands, Netherlands
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BC
Billy Cleary
Colleague at Centraal Bureau Voor De StatistiekBronx, New York, United States, United States
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HM
Hamz Mosa
Colleague at Centraal Bureau Voor De StatistiekAmsterdam, North Holland, Netherlands, Netherlands
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YH
Yordi Havermans
Colleague at Centraal Bureau Voor De StatistiekBreda, North Brabant, Netherlands, Netherlands
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RV
Rik Van Der Vliet
Colleague at Centraal Bureau Voor De StatistiekThe Hague, South Holland, Netherlands, Netherlands
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JV
James Van Praagh
Colleague at Centraal Bureau Voor De StatistiekLos Angeles, California, United States, United States
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BS
Ben Schoffelen
Colleague at Centraal Bureau Voor De StatistiekMaastricht, Limburg, Netherlands, Netherlands
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Lianne Ippel education
Research Master, Individual In Social Context - Methodology And Statistics, Internship
Bachelor, Sociology, 7.8
Frequently asked questions about Lianne Ippel
Quick answers generated from the profile data available on this page.
What company does Lianne Ippel work for?
Lianne Ippel works for Centraal Bureau voor de Statistiek.
What is Lianne Ippel's role at Centraal Bureau voor de Statistiek?
Lianne Ippel is listed as methodologist at Centraal Bureau voor de Statistiek at Centraal Bureau voor de Statistiek.
What is Lianne Ippel's email address?
AeroLeads has found 1 work email signal at @cbs.nl for Lianne Ippel at Centraal Bureau voor de Statistiek.
Where is Lianne Ippel based?
Lianne Ippel is based in Meerssen, Limburg, Netherlands while working with Centraal Bureau voor de Statistiek.
What companies has Lianne Ippel worked for?
Lianne Ippel has worked for Centraal Bureau Voor De Statistiek, Maastricht University Institute Of Data Science, University Of Liège, Tilburg University, and University Of California, Berkeley.
Who are Lianne Ippel's colleagues at Centraal Bureau voor de Statistiek?
Lianne Ippel's colleagues at Centraal Bureau voor de Statistiek include Sekou Guirassy, Pieter Oddens, Wim Plate, Dirk Luijendijk, and Billy Cleary.
How can I contact Lianne Ippel?
You can use AeroLeads to view verified contact signals for Lianne Ippel at Centraal Bureau voor de Statistiek, including work email, phone, and LinkedIn data when available.
What schools did Lianne Ippel attend?
Lianne Ippel holds Research Master, Individual In Social Context - Methodology And Statistics, Internship from Tilburg University.
What skills is Lianne Ippel known for?
Lianne Ippel is listed with skills including Statistics, Quantitative Research, Qualitative Research, English, R, Sociology, Teaching, and Research.
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