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A documentation checklist for (Linked) humanities data
Documentation, including information, instructions, and use cases, is key to reproducibility in Digital Humanities research and usability of...
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Deep Learning Techniques in Big Data Analytics
The emergence of the digital age has ushered in an unprecedented era of data production and collection, creating big data models. In this context, a...
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Hypericons for interpretability: decoding abstract concepts in visual data
In an era of information abundance and visual saturation, the need for resources to organise and access the vast expanse of visual data is paramount....
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Clustering functional data via variational inference
Among different functional data analyses, clustering analysis aims to determine underlying groups of curves in the dataset when there is no...
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Simultaneous subgroup identification and variable selection for high dimensional data
The high dimensionality of genetic data poses many challenges for subgroup identification, both computationally and theoretically. This paper...
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Robust Bayesian cumulative probit linear mixed models for longitudinal ordinal data
Longitudinal studies have been conducted in various fields, including medicine, economics and the social sciences. In this paper, we focus on...
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Research on the Recommendation Method of Postgraduate Supervisor Based on Natural Intelligence Information Integration
In response to the difficulty of choosing a supervisor for prospective postgraduate, this research proposes a method for recommending postgraduate...
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Shape-based functional data analysis
Functional data analysis (FDA) is a fast-growing area of research and development in statistics. While most FDA literature imposes the classical
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Publication: Where Data Comes to Life!
The architecture of the OCHRE platform and its item-based approach to knowledge representation allows digital publication to be reimagined. Data can...
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Regression analysis of doubly censored failure time data with ancillary information
Doubly censored failure time data occur in many areas and for the situation, the failure time of interest usually represents the elapsed time between...
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Architekturen und Technologien für den Data Lake
Lange Zeit galt das Data Warehouse als das zentrale Architekturkonzept für dispositive Reporting- & Analysezwecke. Im Zuge der zunehmenden...
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Statistik zwischen Data Science, Artificial Intelligence und Big Data: Beiträge aus dem Kolloquium „Make Statistics great again“
Statistics as a subject has to sustain its position in a fast changing environment which is characterized by the rise of Data Science, the growth of...
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Mixture copulas with discrete margins and their application to imbalanced data
This article introduces the approach of using Bayesian sampling to estimate the mixture copula with discrete margins, we further apply our models to...
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Modern Real-World Applications Using Data Analytics and Machine Learning
Modern technology has given rise to strong technologies like machine learning, big data, and data analytics that are revolutionising how businesses...
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Improving the design of the Italian permanent population and housing census: a transition towards a massive use of administrative data
The permanent population and housing census (PPHC) has been designed according to the Italian National Institute of Statistics (Istat) modernization...
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Data Presentation
This chapter explores several issues related to data manipulation and presentation. Planners deal with spatial data and need to understand the...
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Data-driven and On-Demand Conceptual Modeling
The data infrastructure of an organization involves data stored in different models and systems, spreadsheets, files, data mining models, streams,...
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Data Standards and Platform Interoperability
This chapter examines the role of health data and interoperability standards, their harmonization and role within data platforms (in particular...
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Estimating the Conditional Tail Expectation of Randomly Right-Censored Heavy-Tailed Data
The conditional tail expectation (CTE) is a very useful tool in risk management and one of the best-known risk measures in the realm of insurance....
