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The statistics of topic modelling.
, 2015 This research project aims to provide a clear and concise guide to latent dirichlet allocation which is a form of topic modelling. The aim is to help researchers who do not have a strong background in mathematics or statistics to feel comfortable with using topic modelling in their work.
Rebecca Abey
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Semantic Topic Models: Combining Word Distributional Statistics andDictionary Definitions
Conference on Empirical Methods in Natural Language Processing, 2011 Weiwei Guo, Mona Diab
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Topics in robust statistical learning
ESAIM: Proceedings and Surveys, 2023 Some recent contributions to robust inference are presented. Firstly, the classical problem of robust M-estimation of a location parameter is revisited using an optimal transport approach - with specifically designed Wasserstein-type distances - that reduces robustness to a continuity property.
Brécheteau, Claire +3 more
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PLoS ONE, 2022 Although there are several articles that have carried out a systematic literature review of the analytical hierarchy process (AHP), many of them work with a limited number of analyzed documents.
Peter Madzík, Lukáš Falát
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Descriptive Statistics and Its Applications
Highlights in Science Engineering and Technology, 2023 This review paper examines the topic of descriptive statistics, which is a study of statistics, deriving from basic mathematics. The paper discusses common descriptive statistics using a combination of numerical examples and graphical demonstrations. The
Yihang Dong
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A Tutorial on How to Conduct Meta-Analysis with IBM SPSS Statistics
Psych, 2022 Meta-analysis has started to take place among the most used methodologies in psychological research. Such a technique allows researchers to combine the data sets obtained from several individual studies on the same topic and thus is particularly useful ...
Sedat Şen, I. Yildirim
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Selected topics in statistical computing [PDF]
Encyclopedia with Semantic Computing and Robotic Intelligence, 2017 The field of computational statistics refers to statistical methods or tools that are computationally intensive. Due to the recent advances in computing power, some of these methods have become prominent and central to modern data analysis. In this paper, we focus on several of the main methods including density estimation, kernel smoothing, smoothing ...
Chatla, Suneel Babu +2 more
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GENERATING WORKING HYPOTHESES FOR ORIGINAL RESEARCH STUDIES
Central Asian Journal of Medical Hypotheses and Ethics, 2020 A hypothesis is a statement of the expected outcome of a research study, generally based on analysis of prior published knowledge, or with reference to the previous work of the investigators. The hypothesis forms the foundation of a research proposal.
Durga Prasanna Misra, Vikas Agarwal
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Studies and research design in medicine
Сеченовский вестник, 2021 Adequate design is an essential condition for conducting a successful study. This review describes the most common types of research design in medicine. We discuss the differences between different types of observational and interventional studies, their
N. M. Bulanov +7 more
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Statistical hypothesis testing: general approach in medical research
Сеченовский вестник, 2021 Statistical hypothesis testing is one of the key steps in modern medical research. Initially, scientists formulate a research hypothesis based on which the statistical hypothesis is then developed and statistically tested.
A. Yu. Suvorov +6 more
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