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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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. …”
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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. …”
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3D reconstruction of building models based on 2D floorplans using statistical analysis by Gasiorowski, Pawel, Vassilev, Vassil

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A reformulation of additive models by Wozniakowski, Alex

“…Additive models and their fitting algorithms play a pivotal role in the history and development of applied mathematics, machine learning, statistics, and science. …”
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Dynamics of localized waves in one-dimensional random potentials : statistical theory of the coherent forward scattering peak by Lee, Kean Loon, Miniatura, Christian, Grémaud, Benoît

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Fast and accurate detection of Identical-By-Descent segment sharing in large genomic datasets by Saada, J

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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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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Questionnaire data analysis using information geometry by Har-Shemesh, Omri, Quax, Rick, Lansing, J. Stephen, Sloot, Peter M. A.

“…The SM has deep connections with parametric statistical models and the theory of phase transitions in statistical physics. …”
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Racial discrimination against prospective tenants : evidence from the room rental market in Singapore by Chew, Ilynn Mei Xian, Goh, Pei Ying, Ng, Wan Zhyi

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Measuring magic on a quantum processor by Oliviero, Salvatore F. E., Leone, Lorenzo, Hamma, Alioscia, Lloyd, Seth

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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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Hedonic regression model : influence of housing characteristics and housing lease on HDB's resale price by Ng, Darren Kaiwen, Nah, Hng Meng

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Refining learning models in grammatical inference by Wang, Xiangrui

“…Grammatical inference is a branch of computational learning theory that attacks the problem of learning grammatical models from string samples. …”
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Forecasting Singapore’s pharmaceutical industry using time series models. by Lee, Kai Wee., Simandjuntak, Daniel Perdana., Zhuo, Yaohong.

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15.075 Applied Statistics, Spring 2003 by Newton, Elizabeth

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Situasi Pembelajaran Bahasa Asing dalam Kalangan Pelajar di Universiti Utara Malaysia dalam Norma Baharu dengan Menggunakan Model UTAUT (S/O 14775) by Mansor, Masni, Abdul Hamid, Aida Husni, Sanguan, Soraya, Md Yusoff, Mohd Farid

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Modeling human-like non-rationality in social agents by Kochanowicz, Jaroslaw Slawomir

“…To realize those postulates, Social Context Cognition Model (SCCM), inspired among others by the Dual Process Theory, is proposed. …”
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Modeling autobiographical memory in human-like autonomous agents by Wang, Di, Tan, Ah-Hwee, Miao, Chunyan

“…With the motivation of developing human-like intelligence, in this paper, we delineate our approach to enable an agent to maintain memories of its own and to wander in mind. Our model, named Autobiographical Memory-Adaptive Resonance Theory network (AM-ART), is designed to capture autobiographical memories, comprising pictorial snapshots of one's life experiences together with the associated context, namely time, location, people, activity, and emotion. …”
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