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

“…It is important to make general statements that characterises time series extreme models over a range of sample sizes with varying degree of dependence. …”
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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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Statistical modeling reveals the effect of absolute humidity on dengue in Singapore by Xu, Hai-Yan, Fu, Xiuju, Lee, Lionel Kim Hock, Ma, Stefan, Goh, Kee Tai, Wong, Jiancheng, Habibullah, Mohamed Salahuddin, Lee, Gary Kee Khoon, Lim, Tian Kuay, Tambyah, Paul Anantharajah, Lim, Chin Leong, Ng, Lee Ching

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Generative Stochastic Modeling of Strongly Nonlinear Flows with Non-Gaussian Statistics by Arbabi, Hassan, Sapsis, Themistoklis

“…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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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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15.075 Applied Statistics, Spring 2003 by Newton, Elizabeth

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Investigation of moisture content and higher heating value in refusederived fuel from agricultural residues using statistical modelling by Ny, Abd Halim, Noor Intan Shafinas, Muhammad

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Investigation of moisture content and higher heating value in refuse-derived fuel from agricultural residues using statistical modelling by Nuranis Yasira, Abd Halim, Noor Intan Shafinas, Muhammad

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Improvement of haemodynamic stent strut configuration for patent ductus arteriosus through computational modelling by Taib, Ishkrizat

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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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Effects of statistical sampling errors on flood-damage-reduction project evaluation by Su, Hsin-Ting, Tung, Yeou-Koung

“…The influence of the model parameter uncertainty on the project evaluation results is examined through an example FDR project with five design alternatives in which flood magnitude follows a Gumbel distribution.…”
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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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Sample size estimation with missing values on clinical trials by Zhang, Mengyang

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Hybrid nanofluid radiative flow across a permeable convective moving surface with heat generation: numerical and statistical approach by Wahid, Nur Syahirah, Mustafa, Mohd Shafie, Md Arifin, Norihan, Khashi’ie, Najiyah Safwa, Pop, Ioan

Sentiment analysis and topic modelling of 2024 U.S. and Indonesian election tweets: a study of political discourse and public opinion by Widawati, Elisia Brispalma

“…This study investigates the effectiveness of various deep learning architectures and statistical models in both sentiment analysis and the temporal analysis of online public discourse through topic modelling and sentiment forecasting of tweets related to the 2024 Indonesian and U.S. elections. …”
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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.

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Airline operating cost reduction through enhanced engine health analytics by Luu, Henry H. T

“…In its current form, engine performance is monitored through recorded physical metrics, such as gas temperature, pressure, and altitude, taken as single snapshots at various phases of flight. …”
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Detecting adversarial samples for deep neural networks through mutation testing by Tan, Kye Yen

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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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Modelling and development of carbon molecular sieve membrane for gas separation by Su, Jincai

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