Statistics and Probability Theory : In Pursuit of Engineering Decision Support / by Faber, M. H. (Michael Havbro), author 656113

“…The purpose of the book is to ensure that the reader will acquire the required theoretical basis and technical skills such as to feel comfortable with the theory of basic statistics and probability. Moreover, in this book, as opposed to many standard books on the same subject, the perspective is to focus on the use of the theory for the purpose of engineering model building and decision making. …”
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Multiscale approach to nematic liquid crystals via statistical field theory by Lu, Bing-Sui

“…We propose an approach to a multiscale problem in the theory of thermotropic uniaxial nematics based on the method of statistical field theory. …”
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3D reconstruction of building models based on 2D floorplans using statistical analysis by Gasiorowski, Pawel, Vassilev, Vassil

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Dealing with confounders in omics analysis by Goh, Wilson Wen Bin, Wong, Limsoon

“…The Anna Karenina effect is a manifestation of the theory-practice gap that exists when theoretical statistics are applied on real-world data. …”
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Homogenization of nonlinear blood flow in periodic networks: the limit of small haematocrit heterogeneity by Ben-Ami, Y, Wood, BD, Pitt-Francis, JM, Maini, PK, Byrne, HM

“…We demonstrate how the statistical distribution of vessel lengths and diameters, together with the average haematocrit level, affect the statistical properties of the macroscopic permeability tensor. …”

Modeling human-like non-rationality in social agents by Kochanowicz, Jaroslaw Slawomir

“…It is inspired by a Dramaturgical Metaphor and a theory of Cognitive Dissonance and used in a simulation of 'System 1' affect generation. …”
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Mathematical foundation of data science by Fang, Xiaowei

“…Later, the method of chaining and the combinatorial reasoning based on the VC dimensionenables us to bound the subgaussian-incremented processes and random quadratic form, extending two applications about empirical processes and statistical learning theory. …”
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Unraveling the association between socioeconomic diversity and consumer price index in a tourism country by Leng, Yan, Babwany, Nakash Ali, Pentland, Alex

“…Based on these strong predictive relationships, we construct daily, and spatial maps to monitor CPI measures at a high resolution to complement existing CPI measures from the statistical office. …”
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Information entropy based leakage profiling by Ou, Changhai, Zhou, Xinping, Lam, Siew-Kei, Zhou, Chengju, Ning, Fangxing

“…MED is a moment-based statistical PDF model in side-channel attacks. It can theoretically use information on arbitrary higher-order moments to infinitely approximate the leakage distribution, and well compensates the theory vacancy of model profiling and evaluation. …”
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Diagrammatic Representation and Inference : 12th International Conference, Diagrams 2021, Virtual, September 28-30, 2021, Proceedings / by Diagrams (Conference) (12th : 2021 : Online) 643173, Basu, Amrita, 1953-, editor 643175, Stapleton, Gem, editor 643176, Linker, Sven, editor 643177, Legg, Catherine, editor 643178, Manalo, Emmanuel, editor 643179, Viana, Petrucio, editor 643180

Modélisation des interactions en Italie du Nord au premier âge du Fer: de la circulation de parures aux réseaux d’influences culturelles by Cicolani, V, Huet, T, Zamboni, L

“…This paper therefore proposes to re-examine the roles of italic populations described as peripheral within the networks of interaction and technocultural transfers that developed in the early Iron Age in northwestern Italy. By applying statistical and spatial data modelling (R program and Graph theory), it is possible to visualise and order complex and heterogeneous data, such as archaeological records, as well as to identify a dynamic typology of connected networks and sub-network. …”

Urban Informatics and Future Cities / by Geertman, S. C. M., editor 642892, Pettit, Christopher, editor 310233, Goodspeed, Robert, editor 642893, Staffans, Aija, editor 642894

Bayes factors for logistic (mixed effect) models by Silvey, C, Dienes, Z, Wonnacott, E

“…Bayes factors can make this distinction; however, uptake of Bayes factors in psychology has so far been low for two reasons. First, they require researchers to specify the range of effect sizes their theory predicts. …”