Adoption of ZakaTech in the Time of COVID-19: Cross-Country and Gender Differences by Nashwan, Saeed Awadh, Ismaiel, Abdelhamid Elsayed A., Muneeza, Aishath, Isa, Mohamad Yazid

“…Therefore, this study aims to provide an integrated model that scrutinizes the determinants of acceptance and use of technology (UTAUT) of ZakaTech, combined with social cognitive theory (SCT), in the midst of the COVID-19 crisis where social distancing is the norm in conducting economic activities. …”
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Macroeconomic and Firm-Specific Effects on Islamic Deposits Sustainability by Ab Rahman, Sazana, Ahmad, Nor Hayati, Che Arshad, Noraziah

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On the weak convergence of stochastic integrals on Skorokhod space: From general theory to applications within the realm of continuous-time random walks by Wunderlich, F

“…We refine the classical theory, reveal new insights into convergence behaviours even in the classical J1 setting and address the sharpness of various key statements. …”

Reliability analysis and data driven modelling of railway component failure by Wang, Jinlong

“…Such statistical models are under some distribution assumptions which may not be fully satisfied in practice, but the models can be fitted with limited data samples and their interpretabilities are high. …”
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Novel statistical emulator construction for volcanic ash transport model Ash3d with physically motivated measures by Yang, Qingyuan, Pitman, E. Bruce, Spiller, Elaine, Bursik, Marcus, Bevilacqua, Andrea

“…Statistical emulators are a key tool for rapidly producing probabilistic hazard analysis of geophysical processes. …”
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Bayes factors for logistic (mixed effect) models by Silvey, C, Dienes, Z, Wonnacott, E

“…We illustrate this using mainly the estimates from frequentist logistic mixed-effects models (because of their widespread adoption) but also using Bayesian model comparison with Bayesian hierarchical models (which have increased flexibility). …”

Modelling and characterization of membrane fouling in osmotically-driven membrane processes (ODMPs) by Lai, Li

“…In order to connect this experimentally inaccessible parameter with model, the parameter was extracted from optimization through series layers model and fed into a backpropagation neural networks with various experimentally-accessible real time parameters. …”
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Glass transition behaviour In a voronoi model of cell tissues by Loh, Leon Yeong Wei

“…This allows one to study the static and dynamical statistical properties in the temperature regime where mode-coupling theory is dominant. …”
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Integrated user-interface acceptance model for e-learning system by Ramadiani, -

“…Based on t-value, loading factors, and the relative suitability of each attribute, the User Interface Acceptance Model for e-learning can be accepted. Based on the Goodness of Fit statistical value in the first and the second model, the model of e-learning user interface has a highly significant correlation with e-learning acceptance. …”
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Content-based image retrieval with statistical machine learning. by Zhang, Lining.

“…Relevance feedback (RF) is a powerful tool to bridge the gap between low-level visual features and high-level semantic concepts in CBIR. …”
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Dynamical and statistical properties of anyons in fractional quantum hall effect by Ha, Quang Trung

“…Our analysis provides the necessary tools to study such geometric effects, which we use to investigate how disorder in a realistic system may affect different experimental schemes for measuring anyon statistics.…”
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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.

“…Furthermore, our framework incorporates built‐in uncertainty quantification capabilities, facilitating efficient parameter sampling using traditional CFD tools. This paper provides comprehensive implementation details and demonstrates the effectiveness of our approach in delivering reliable statistics for hydrodynamic loads while overcoming the computational cost constraints associated with classical modeling methods.…”
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Fast and accurate detection of Identical-By-Descent segment sharing in large genomic datasets by Saada, J

15.060 Data, Models, and Decisions, Fall 2007 by Gamarnik, David, Freund, Robert, Schulz, Andreas

“…Management cases are used extensively to illustrate the practical use of modeling tools to improve the management practice.…”
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Efficient Bayesian estimation and use of cut posterior in semiparametric hidden Markov models by Moss, D, Rousseau, J

Towards robust sensing and recognition : from statistical learning to transfer learning by Yang, Jianfei

“…As different sensors offer heterogeneous data, traditional statistical models may not be capable of tackling the high-dimensional data. …”
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Applicability of behavioural finance by Chong, Chee Wah, Low, Ji Teng, Paik, Jek Yin

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The intransitive dice kernel: $$\frac{\mathbbm {1}_{x\ge y}-\mathbbm {1}_{x\le y}}{4} - \frac{3(x-y)(1+xy)}{8}$$ by Sah, Ashwin, Sawhney, Mehtaab

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Derivation of extreme non-gaussian stochastic offshore structural responses using finite memory nonlinear system by Mukhlas, Nurul ’Azizah

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Developing a Green Tax Policy Model: Towards Green Growth Environment (S/O 14170) by Zainol Ariffin, Zaimah, Bidin, Zainol, Muhammad Jamil, Che Zuriana, Sulaiman, Aryati Juliana

“…From the findings, this study will develop a model of key drivers towards environmental tax laws among Malaysian companies. …”
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