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. …”
Get full text
Get full text

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. …”
Get full text
Get full text

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. …”
Get full text

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. …”
Get full text

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. …”
Get full text

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. …”
Get full text

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

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. …”