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This case study-based textbook in multivariate analysis for advanced students in the humanities emphasizes descriptive, exploratory analyses of various types of data sets from a wide range of sub-disciplines, promoting the use of multivariate analysis and illustrating its wide applicability. Fields…

Mining time series is a machine learning subfield that focuses on a particular data structure, where variables are measured over (short or long) periods of time.

Calamus javensis is polymorphic. Morphometry and molecular approach resulted in all names used in the complex are regarded as synonyms of C. javensis except C. tenompokensis, which is retained as a distinct species. One variety is here recognized, C. javensis var. polyphyllus (including C. acuminatu…

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The research programme Statistical Science is concerned with the analysis and interpretation of masses of data, the quantification of uncertainty using probability models, and the development and benchmarking of algorithms and methods with these aims.

In this dissertation, we study partition-based models that can be used both for interpretable predictive modeling and for understanding data via interpretable patterns.

In this thesis,

The main methodological aspects of the use of stepwise LCA estimators under different circumstances.

Promotor: Prof.dr. G.P. van Wezel

The programme group Research Methods and Statistics offers support to researchers from a variety of research projects within Education and Child Studies.

Promotor: S.M. Verduyn Lunel

Data theory research on the analysis on the multidimensional data

With textnets it is possible to visualize and analyze textual data in novel ways.

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Assistant Professor at the Department of Analytical Chemistry, Radboud University Nijmegen, the Netherlands

Promotor: Prof.dr. J.N. Kok, Co-promotor: F.J. Verbeek

Science, Mathematical Institute (MI)

We explored how to morphologically classify well-resolved jetted radio-loud active galactic nuclei (RLAGN) in the LOw Frequency Array (LOFAR) Two-metre Sky Survey (LoTSS) using machine learning.

In this publication, Prof. Tahir Abbas, Inés Bolaños Somoano, Joana Cook, Isabelle Frens, Graig R. Klein and Richard McNeil-Willson look into the manifesto that was linked to the Buffalo attack in order to better understand the broader context and specific factors that motivated the perpetrator.

The Explainatory Data Analysis group develops algorithms and theory that enable domain experts to explain data by finding interpretable patterns and models.

Obtaining imaging data is nowadays only the start of your project. Once the data has been acquired there are many things that still need to be done.

The Institute of Environmental Sciences has carried out and participates in several projects that deal with the analysis of energy systems.

The research of this programme is centered around dynamical systems, functional analysis, and their interplay.

The research of our group is centered around dynamical systems, functional analysis and their interplay.

Can we link multiple components from herbal extracts with their biological activities?

The research of the Applied Mathematics cluster is concerned with such diverse topics as dynamical systems, representation theory, differential equations and pattern recognition.

This handbook provides a resource for those already familiar with some kinds of micro-particles who wish to learn more about others, or for those just starting out in the study of microremains who wish to have a broad understanding about microscopic archaeology.

The volume is one-stop shopping for crisis studies and a number of closely related fields, providing a window onto the latest thinking in the field. The articles reflect cutting edge, state of the art scholarship and pose key questions for research and practical development.

The programme group Research Methods and Statistics offers methodological support in many projects in the field of education and child studies.

The focus of the Multicriteria Optimization and Decision Analysis (MODA) group is to develop foundations of methods in multi-objective optimization.

The objective is to develop in vitro antigen degradation assays in order to mimic the fate of the antigen in vivo.

Explore "Analysis of Repeated Measurements" at Boerhaave Nascholing. Learn statistical methods for correlated data in time. Read more here.

Promotor: W.Th.F. den Hollander Co-Promotor: F.M. Spieksma

This thesis is based on five papers on several topics.

Systems pharmacology aims to apply techniques from systems biology to pharmacological models.

Analysis of neuroimaging data requires multiple steps where statistics play a crucial role. The MRI methods research group develops new statistical methods that are accurate, transparent and easy to use.

This thesis seeks to combine two different research topics; Multi-Objective Optimization and Complex Network Analysis.

This study is a critical discourse analysis of the misogynistic narratives shared by three incel violent extremists.

A research data infrastructure in computational social science

The Automated Design and Analysis of Algorithms (ADA) research group pursues the development of Artificial Intelligence techniques that complement, rather than replace, human intelligence.

Promotor: Prof.dr. E. Deprettere

Are you thinking about studying Cultural Analysis: Literature and Theory? Learn more and watch the introduction video.

Can we develop a platform for raw materials intelligence?