Exponential tail local Rademacher complexity risk bounds without the Bernstein condition by Kanade, V, Rebeschini, P, Vaškevičius, T

“…Recent years have witnessed several examples of problems where optimal statistical performance is only achievable via non-convex and improper estimators originating from aggregation theory, including the fundamental problem of model selection. …”

Economic indicators for the Singapore economy by Neo, Peck Eng, Tan, Huck Yang

“…It is hoped that through the use of simple statistical tools, the constructed composite index would serve as a useful model for the business community to predict the economic trend effectively and efficiently.…”
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Machine translation of software-specific documentations by Tee, Li Yin

“…Therefore, in this project, we will study a statistical machine translation with a phrase-based model to train and work for software text translation. …”
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R software for traffic crash by Hartatik, Nurani, Prasetijo, Joewono, Dwi Prasetyo, Yudi, Theresia, Theresia, Khilda Nistrina, Khilda Nistrina, Atqiya Muslihati, Atqiya Muslihati

“…The "R" tool can be used for a variety of statistical analyses, from simple analyses like analysis of variance in field research to complicated visualization analyses. …”
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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

“…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. …”

Theoretical study of spermatozoa sorting by dielectrophoresis or magnetophoresis with supervised learning by Koh, James Boon Yong

“…Despite well-established microfluidic sorting techniques, and reliable mathematical models to quantify the swimming of microorganisms, research on sperm sorting via dielectrophoresis or magnetophoresis lacks theoretical and statistical support. …”
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Predicting Team Well-Being through Face Video Analysis with AI by Müller, Moritz, Dupuis, Ambre, Zeulner, Tobias, Vazquez, Ignacio, Hagerer, Johann, Gloor, Peter A.

“…Each pillar of the PERMA model is evaluated as a regression or classification problem using machine learning algorithms. …”
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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. …”

Simultaneous reconstruction of spatial frequency fields and field sample locations by Haines, R

“…</p> <p>The thesis has two main aims - to provide statistical tools for the linguists who collected the data, and to meet the computational and inferential challenge of simultaneously locating large numbers of feature vectors. …”

Two clustering problems in analyzing next generation sequencing data by Ye, Tian

“…As the next generation sequencing (NGS) becomes the dominating technology for studying the gene expression profiles, downstream statistical analysis tools are needed urgently. Clustering samples is an important approach to revealing smaples’ relationships, such as for the discovery of new subtypes of cancer cells. …”
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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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Digital Anatomy : Applications of Virtual, Mixed and Augmented Reality / by Uhl, Jean-François, editor 643187, Jorge, J. A. (Joaquim Armando), editor 643188, Lopes, Daniel Simões, editor 643190, Campos, Pedro F., editor 643191

Investigating the EM performance of building materials for mid-band 5G in urban built environment: an exploratory study by Ng, Sean Jake Peng

“…Finally, a novel inversion modelling procedure was developed based on perturbation theory to numerically extrapolate the relative permittivity of the various dielectric-loaded materials. …”
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Uncertainty & robustness for single-cell studies by Shiffman, Miriam

“…First, we provide a framework for generalizability of differential expression analysis that—unlike common statistical tools (significance, power, standard error)—does not rely on the assumption that the sample in hand is independent and identically distributed as future samples. …”
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Risk-Aware Framework Development for Disruption Prediction: Alcator C-Mod and DIII-D Survival Analysis by Keith, Zander, Nagpal, Chirag, Rea, Cristina, Tinguely, R. Alex

“…Time-to-event predictions from time-series data can be obtained with a survival analysis statistical framework, and there have been many tools developed for this task which we aim to apply to disruption prediction. …”
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Decentralised finance and automated market making by Monga, M

“…In this thesis we formalise and study the trading mechanism of CPMMs with CL, and we develop liquidity provision and liquidity taking strategies. Our models are motivated and tested with market data.</p> <br> <p>We derive optimal strategies for liquidity takers (LTs) who trade orders of large size and execute statistical arbitrages. …”

New supermarket for Jurong West by Mohammed Effendi Basri, Tan, Shok Keng, Yong, Sheue Horng

“…The sources of secondary data include literature, statistical report, companies financial reports and periodicals. …”
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Three essays on frictions of trade by Li, W

“…With the aid of statistical and machine learning tools, no prior knowledge is required regarding the structure of spatial dependence. …”

Numerical and Analytical Methods in Low-Dimensional Strongly Correlated Quantum Systems by Peng, Changnan

“…The study of low-dimensional strongly correlated quantum systems lies at the intersection of intricate theoretical models and practical numerical methods, offering deep insights into condensed matter physics. …”
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