Social gating of statistical learning in infants through interpersonal neural synchrony by Teo, Kai Xin

“…However, it is not known whether interpersonal neural synchronization will influence statistical language learning, an innate mechanism that facilitates infants’ learning through the detection of regularities and patterns in sensory information. …”
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Universality for the largest eigenvalue of sample covariance matrices with general population by Bao, Zhigang, Pan, Guangming, Zhou, Wang

“…This paper is aimed at deriving the universality of the largest eigenvalue of a class of high-dimensional real or complex sample covariance matrices of the form WN = Σ 1 /2 XX* Σ 1/2. …”
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Enhancement of learning through the use of video protocols. by Ong, Eunice Mei Jing.

“…However, according to Dale's cone of experience, reading and audio instructions provide less concrete learning experience. Although hands-on learning and demonstration provides greater concrete learning experience, they are less feasible. …”
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15.075 Applied Statistics, Spring 2003 by Newton, Elizabeth

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INTRODUCTORY STATISTICS / by Mann, Prem S., author 313239, Lacke, Christopher Jay, author 648529

“…When it comes to learning statistics, Mann delivers the information that business professionals need. …”

Enhancing ESL learners’ writing through collaborative learning with canva by Asiah, Kassim, Noraisah Nurul Fatwa, Mohd Razali

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Hermes: Boosting the Performance of Machine-Learning-Based Intrusion Detection System through Geometric Feature Learning by Zhang, Chaoyu, Shi, Shanghao, Wang, Ning, Xu, Xiangxiang, Li, Shaoyu, Zheng, Lizhong, Marchany, Randy, Gardner, Mark, Hou, Y. Thomas, Lou, Wenjing

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Learning moral values through cartoons for Malaysian preschool-aged children by Abdullah, Muhammad Alif Redzuan

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Combating China’s corruption through learning from Taobao’s business model. by Tan, Winifred Guan Xin., Soh, Rachel Mei Hui., Choo, Amelene Isabel.

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E-Module in TVET: unveiling brazing and riveting methods through VAK learning by Hashim, Suhaizal, Mohamad Ali, Nur Alianni, Masran, Saiful Hadi

“…The researcher employed a semi-structured interview as the research instrument to evaluate the usability of the learning e-module in this study. Subsequently, the interview data will undergo thematic analysis and subsequently be assessed using Cohen's Kappa statistic, which will ascertain the level of agreement over the usefulness of the e-learning module. …”
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Statistical modeling of fully nonlinear hydrodynamic loads on offshore wind turbine monopile foundations using wave episodes and targeted CFD simulations through active sampling by Guth, Stephen, Katsidoniotaki, Eirini, Sapsis, Themistoklis P.

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Inference for autoregressive and moving average models with extreme value distribution via simulation study by Samuel, Bako Sunday

“…Time series analysis has emerged as one of the most important statistical discipline and it has been applied in different fields over the years. …”
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Challenges and Solution of Online Learning and Assessment Amidst the COVID-19 Pandemic: A Case Study in Universiti Utara Malaysia (S/O 14793) by Mohd Nordin, Nur Rasyidah, Omar, Wafa, Mohd Ridzuan, Iliya Nurul Iman

“…A mixed method approach was employed to collect data through questionnaires, focus group interview and artifact from social media. …”
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Generative Stochastic Modeling of Strongly Nonlinear Flows with Non-Gaussian Statistics by Arbabi, Hassan, Sapsis, Themistoklis

“…These systems are difficult to model and analyze due to combination of high dimensionality and uncertainty, and there has been much interest in obtaining reduced models, in the form of stochastic closures, that can replicate their non-Gaussian statistics in many dimensions. Here, we propose a data-driven framework to model stationary chaotic dynamical systems through nonlinear transformations and a set of decoupled stochastic differential equations (SDEs). …”
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Organizational Architecture Design and Assessment of Statistical Feasibility for NPM Implementation in an Airplane Subassembly by Daigle, Lea (Lea A.)

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Bayesian collective learning emerges from heuristic social learning by Krafft, P.M., Shmueli, Erez, Griffiths, Thomas L., Tenenbaum, Joshua B., Pentland, Alex

“…The key idea we explore is that Bayesian rationality at the level of a popu- lation can be implemented through a more simplistic heuristic social learning mechanism at the individual level. …”
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Measuring the security of computer vision systems to adversarial attacks by Lovisotto, G

“…<p>Thanks to the increase of on-chip computing capability and recent advances in deep neural networks, autonomous systems increasingly rely on statistical learning and on data collected through digital cameras to automate and fullfil tasks. …”

Predicting Team Well-Being through Face Video Analysis with AI by Müller, Moritz, Dupuis, Ambre, Zeulner, Tobias, Vazquez, Ignacio, Hagerer, Johann, Gloor, Peter A.

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Effects of multilingualism on brain structure, cognition and language processing by Yee, Jia’en

“…Furthermore, opaque orthographies involve more statistical information and requires the employment of more implicit learning mechanisms. …”
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Topics in Bayesian machine learning for finance by Spears, T

“…<p>This thesis presents novel Bayesian machine learning-based approaches to selected problems in finance. …”