Applying model-based recursive partitioning to improve pedestrian exposure models to support transportation safety analyses by Jakob Wiegand, Vikash Gayah

“…One way to do this is to use statistical models relating pedestrian crash frequency with quantifiable contributing factors, such as land use, demographics, and roadway characteristics. …”
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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 study of a defect evolution in iron under fatigue loading in gigacyclic fatigue regime by O. Plekhov, O. Naimark, M. Narykova, A. Kadomtsev, V. Betechtin

“…The obtained results show the accumulation of porosity in the volume of the sample during fatigue loading and corresponding decrease of the elastic properties. A statistical model of damage accumulation was proposed in order to describe the damage accumulation process. …”
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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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Comparative Study of Statistical Distributions in Electromigration-Induced Failures of Al/Cu Thin-Film Interconnects by M. I. Loupis, J. N. Avaritsiotis, G. D. Tziallas

“…We have combined post processing of existing life-data from Al/Cu + TiW bilayer interconnects with our own results from Al/Cu interconnects to show that the Log Extreme Value distribution is an equally good statistical model for electromigration failures, even in cases where grain size exceeds the linewidth. …”
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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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A Fast and Efficient Estimation of the Parameters of a Model of Accident Frequencies via an MM Algorithm by Issa Cherif Geraldo, Edoh Katchekpele, Tchilabalo Abozou Kpanzou

“…In this paper, we consider a multivariate statistical model of accident frequencies having a variable number of parameters and whose parameters are dependent and subject to box constraints and linear equality constraints. …”
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Indoor Massive MIMO Channel Modelling Using Ray-Launching Simulation by Jialai Weng, Xiaoming Tu, Zhihua Lai, Sana Salous, Jie Zhang

“…We propose one deterministic model and one statistical model for indoor massive MIMO channels, both based on ray-launching simulation. …”
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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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Modeling and Implementation of a Power Estimation Methodology for SystemC by Matthias Kuehnle, Andre Wagner, Alisson V. Brito, Juergen Becker

“…The power analysis is based on a statistical model of the underlying HW structure and an analysis of input data. …”
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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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