On direct sequential analysis of heart rate variability signals [PDF]
Archive of Oncology, 2005 Heart rate variability analysis represents one of the most promising and the most commonly used quantitative measures of the cardiovascular autonomic regulatory system.
Bajić Dragana +2 more
doaj +1 more source
Interpretational errors in statistical causal inference [PDF]
arXiv, 2023 We formalize an interpretational error that is common in statistical causal inference, termed identity slippage. This formalism is used to describe historically-recognized fallacies, and analyse a fast-growing literature in statistics and applied fields.
arxiv
Have We Learned to Explain?: How Interpretability Methods Can Learn to Encode Predictions in their Interpretations [PDF]
Proceedings of the 24th International Conference on Artificial
Intelligence and Statistics (AISTATS) 2021, 2021 While the need for interpretable machine learning has been established, many common approaches are slow, lack fidelity, or hard to evaluate. Amortized explanation methods reduce the cost of providing interpretations by learning a global selector model that returns feature importances for a single instance of data.
arxiv
Probability Models in Statistical Data Analysis: Uses, Interpretations, Frequentism-As-Model [PDF]
, 2020 Note: Published now as a chapter in "Handbook of the History and Philosophy of Mathematical Practice" (Springer Nature, editor B. Sriraman, https://doi.org/10.1007/978-3-030-19071-2_105-1). The application of mathematical probability theory in statistics is quite controversial.
arxiv +1 more source
SpICE: An interpretable method for spatial data [PDF]
arXiv, 2023 Statistical learning methods are widely utilized in tackling complex problems due to their flexibility, good predictive performance and its ability to capture complex relationships among variables. Additionally, recently developed automatic workflows have provided a standardized approach to implementing statistical learning methods across various ...
arxiv
Randomized trial of dentists’ understanding: treatment benefit in absolute numbers vs relative risk reduction [PDF]
Brazilian Oral ResearchThis study aimed to assess whether dentists correctly understand the benefit of a dental treatment when it is presented using absolute numbers or relative risk reduction (RRR).
Paulo NADANOVSKY +3 more
doaj +1 more source
Enforcing Interpretability and its Statistical Impacts: Trade-offs between Accuracy and Interpretability [PDF]
arXiv, 2020 To date, there has been no formal study of the statistical cost of interpretability in machine learning. As such, the discourse around potential trade-offs is often informal and misconceptions abound. In this work, we aim to initiate a formal study of these trade-offs.
arxiv
Measure of shape for object data [PDF]
arXiv, 2023 Object data analysis is concerned with statistical methodology for datasets whose elements reside in an arbitrary, unspecified metric space. In this work we propose the object shape, a novel measure of shape/symmetry for object data. The object shape is easy to compute and interpret, owing to its intuitive interpretation as interpolation between two ...
arxiv
Non-Gaussian distributions under scrutiny [PDF]
Journal of Statistical Mechanics: Theory and Experiment 08 (2007)
N08001, 2007 Comment of the very interesting paper by Hilhorst & Schehr, J. Stat. Mech. P06003 (2007). The main point is that one should be extremely careful when interpreting non-Gaussian data in terms of q-Gaussians.
arxiv +1 more source
Sexual dimorphism of the human corpus callosum: Digital morphometric study [PDF]
Vojnosanitetski Pregled, 2006 Background/Aim. Changes in the morphology and the size of the corpus callosum, are related to various pathological conditions. An analysis of these changes requires data about sexual dimorphism of the corpus callosum, which we tried to obtain in our ...
Spasojević Goran +3 more
doaj +1 more source