Association between exposure to urinary metal and all-cause and cardiovascular mortality in US adults. by Ting Cheng, Dongdong Yu, Geng Li, Xiankun Chen, Li Zhou, Zehuai Wen

“…Therefore, we employed diverse statistical models to evaluate the associations between eight urinary metals and the risks of all-cause and cardiovascular mortality.…”
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Evaluation of deceased-donor kidney offers: development and validation of novel data driven and expert based prediction models for early transplant outcomes by Christoph F. Mahler, Felix Friedl, Christian Nusshag, Claudius Speer, Louise Benning, Daniel Göth, Matthias Schaier, Claudia Sommerer, Markus Mieth, Arianeb Mehrabi, Christoph Michalski, Lutz Renders, Quirin Bachmann, Uwe Heemann, Markus Krautter, Vedat Schwenger, Fabian Echterdiek, Fabian Echterdiek, Martin Zeier, Christian Morath, Florian Kälble

“…In summary, we developed novel statistical models that represent current clinical consensus and are tailored to the older deceased donor population. …”
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Interference Coordination Based on POMDP in Multi-Cell OFDMA System by Qiang Wei, Tao Yang, Hui Feng, Bo Hu

“…The inter-cell interference coordination（ICIC）of OFDMA system was studied，and a dynamic ICIC algorithm based on the theory of partially observable Markov decision process（POMDP）was proposed.The statistic model of interference and SINR of channel was combined to allocate channels for cell-edge user in this algorithm.Simulation results show that the proposed scheme can efficiently avoid interference for the cell-edge user.Since this algorithm avoids the coordination between cells，the system overhead is saved.Furthermore，a likelihood relation between SINR and interference was established by using particle filter，so there was no necessary for system to measure the interference.…”
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The effect of interspike interval statistics on the information gainunder the rate coding hypothesis by Shinsuke Koyama, Lubomir Kostal

“…The question, how much information can be theoreticallygained from variable neuronal firing rate with respect to constantaverage firing rate is investigated.We employ the statistical concept of information based on the Kullback-Leibler divergence,and assume rate-modulated renewal processes as a model of spike trains.We show thatif the firing rate variation is sufficiently small and slow(with respect to the mean interspike interval), the information gaincan be expressed by the Fisher information.Furthermore, under certain assumptions, the smallestpossible information gain is provided by gamma-distributed interspikeintervals.The methodology is illustrated and discussed on severaldifferent statistical models of neuronal activity.…”
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Uncertainty quantification in modeling HIV viral mechanics by H. T. Banks, Robert Baraldi, Karissa Cross, Kevin Flores, Christina McChesney, Laura Poag, Emma Thorpe

“…We then consider statistical models to describe the data and use these with residual plots in generalized least squares problems to develop accurate descriptions of the proper weights for the data. …”
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Effects of tax exemption on economic growth by Marconi Silva Miranda, Marco Aurélio Marques Ferreira, Luiz Antônio Abrantes, Suélem Viana Macedo

“…The empirical strategy employed used statistical models in panel data and quantile regression, taking the period between 2007 and 2017. …”
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USING ARTIFICIAL INTELLIGENCE (AI) AND DEEP LEARNING TECHNIQUES IN FINANCIAL RISK MANAGEMENT by Joseph Olorunfemi AKANDE

“…Our analysis highlights the extensive use of sophisticated statistical models in financial risk management. While some progress has been made, more challenges need to be addressed, especially in traditional statistical models. …”
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USING ARTIFICIAL INTELLIGENCE (AI) AND DEEP LEARNING TECHNIQUES IN FINANCIAL RISK MANAGEMENT by Joseph Olorunfemi AKANDE

“…Our analysis highlights the extensive use of sophisticated statistical models in financial risk management. While some progress has been made, more challenges need to be addressed, especially in traditional statistical models. …”
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Study of interstage channel of hybrid turbomolecular pump by J. A. Shostak, N. K. Nikulin, P. A. Shostak, G. T. Tsakadze, E. V. Svichkar

“…The calculation is based on the use of Monte Carlo method (method of test particle), which consists in the statistical modeling of processes. The article describes an algorithm to construct a mathematical model step by step. …”
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Los intereses sectoriales de la vivienda social en Cuba by Adriana Rabinovich

“…It sheds light on the statist model that has gradually given priority to quantity while defining quality via criteria for low-cost productivity. …”
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Långsiktiga prognoser av platsbehovet på fängelser by Hanns von Hofer

“…After a brief description of forecasting and its various methods, three quantitative forecasting methods are discussed: trend projection, extrapolation from causal models, and statistical modelling. Swedish and international prison population data (comprising years 1961 ta 2010) are used as illustrations. …”
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Analyzing skewed financial data using skew scale-shap mixtures of multivariate normal distributions by Mostafa Tamandi, Mehdi Amiri

“…This paper introduces an innovative family of statistical models called the multivariate skew scale-shape mixtures of normal distributions. …”
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VVC coded distortion prediction model based on frame-level transform coefficient modeling of generalized Gaussian distribution by Yiyin GU, Hongkui WANG, Haibin YIN

“…In versatile video coding (VVC), a variety of advanced coding tools work together to achieve excellent coding performance.Compared with high efficient video coding (HEVC), the transform coefficient distribution (TCD) of VVC has sharper peaks.In order to solve this phenomenon, the probability density function (PDF) of frame-level TCD was modeled, and a frame-level coding distortion prediction model based on statistical modeling was proposed, which modeled frame-level distortion as a function of TCD distribution parameters and quantization parameters.The experimental results show that compared with the Laplace distribution and Cauchy distribution, the generalized Gaussian distribution has the best performance in TCD probability density fitting.The prediction results based on the generalized Gaussian distribution distortion prediction model are closest to the actual coding distortion.…”
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Adaptive routing strategy in multi layer satellite communication networks by LI Hui, GU Xue-mai

“…The characteristics of multi-coverage of multilayer satellite networks make sure of good validity and reliability of the space-based networks.Walker delta type constellation guarantees permanent inter satellite links between satellites in the same layer and provides nonpermanent inter orbit links,both of which make an autonomic satellite backbone.Un-der statistic model of traffic flow from global perspective,multilayer satellite networks consider path delay and ISL link weight adopt adaptive routing strategy and bear more reliability.Compare with single layer satellite networks,multilayer satellite networks distribute traffic more evenly and have smaller percent of lost packet,network normalized link load and total path weight of special path,which do favor to decreasing percent of blocking probability of network and the special path.…”
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Forudsigelser om skyld og straffastsættelse by Christian M. Dahl, Rasmus H. Wandall, Simon Wittrock

“…In this paper, we examine how statistical models increase predictability regarding sentencing outcomes and find that our models reduce the uncertainty of case outcomes for the accused, the victims, and their relatives.…”
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Modifications and Statistical Analysis of Acoustic Emission Models Based on the Damage and Fractal Characteristics by Jie Yang, Yanna Zheng, Huijing Wang

“…Damage variable expressions are proposed based on the damage and fractal characteristics firstly. Then, the statistical models for acoustic emission considering damage and fractal characteristics are established by deducing the relationship between acoustic emission parameters and load cycles and fractal dimensions. …”
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Robust Bayesian Regularized Estimation Based on t Regression Model by Zean Li, Weihua Zhao

“…The t distribution is a useful extension of the normal distribution, which can be used for statistical modeling of data sets with heavy tails, and provides robust estimation. …”
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Dispositif d’accompagnement hybride dans un cours de physique de première année à l’université en Belgique by Elisabeth Gruwé

“…To identify at-risk student profiles in the course, we also constructed statistical models to explore the links between the socio-demographic characteristics and past schooling of first-time enrolled students, their participation in the program, and the grade obtained on the exam. …”
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The Impact of COVID-19 on DTP3 Vaccination Coverage in Europe (2012–2023) by Ines Aguinaga-Ontoso, Sara Guillen-Aguinaga, Laura Guillen-Aguinaga, Rosa Alas-Brun, Miriam Guillen-Aguinaga, Luc Onambele, Enrique Aguinaga-Ontoso, Esperanza Rayón-Valpuesta, Francisco Guillen-Grima

“…Results: The findings revealed significant regional disparities across Europe. Statistical models indicated reductions in DTP3 coverage in countries such as Ireland, Sweden, and Switzerland, whereas Ukraine and San Marino showed improvements. …”
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Optimal receiver and blind demodulation performance bounds for single channel co-frequency mixed signals by YU Hongyi, ZHA Renpeng, SHEN Zhixiang, SHEN Caiyao, HU Yunpeng

“…Based on the sufficient statistics model, a lower bound on the performance of single-channel blind demodulation for co-frequency mixed signals was derived using Forney’s method. …”
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