Wind Climate in Kongsfjorden, Svalbard, and Attribution of Leading Wind Driving Mechanisms through Turbulence-Resolving Simulations by Igor Esau, Irina Repina

“…Wind direction diagrams reveal strong wind channeled in the surface layer up to 300 m to 500 m. The probability analysis links strong wind channeling and cold temperature anomalies in the surface layer. …”
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A model for phenotype change in a stochastic framework by Graeme Wake, Anthony Pleasants, Alan Beedle, Peter Gluckman

“…A stochastic predator-prey model isproposed in which the prey have a fixed initial energy budget.Fitness is the product of survival probability and the energyremaining for non-defensive purposes. …”
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A Bayesian Network Model for Origin-Destination Matrices Estimation Using Prior and Some Observed Link Flows by Lin Cheng, Senlai Zhu, Zhaoming Chu, Jingxu Cheng

“…Both the point estimation and the corresponding probability intervals can be provided by this model. …”
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Dynamic Schedule-Based Assignment Model for Urban Rail Transit Network with Capacity Constraints by Baoming Han, Weiteng Zhou, Dewei Li, Haodong Yin

“…The proposal model can estimate the path choice probability according to the equilibrium condition when passengers minimize their perceptive cost in a schedule-based network. …”
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Bearing Fault Diagnosis Based on Multilayer Domain Adaptation by Bingru Yang, Qi Li, Liang Chen, Changqing Shen

“…Deep learning-based fault diagnosis methods are usually performed on the hypothesis that the training set and test set obey the same probability distribution, which is hard to satisfy under the actual working conditions. …”
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QMU Analysis of Flexoelectric Timoshenko Beam by Evidence Theory by Feng Zhang, Jiajia Zhang, Weiyue Wang, Ruijie Du, Cheng Han, Zijie Qiao

“…The combination of available data and engineers’ experience suggests that there are random and cognitive uncertainties in the parameters. Therefore, the probability distribution of the system performance response is expressed by the likelihood function and belief function through the quantification of margins and uncertainties (QMUs) analysis methodology under the framework of evidence theory, and the system reliability or performance evaluation is measured by the calculated confidence factors. …”
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Parameter estimation of social forces in pedestrian dynamics models via a probabilistic method by Alessandro Corbetta, Adrian Muntean, Kiamars Vafayi

“…Focusing on a specific crowd dynamics situation, including real lifeexperiments and measurements, our paper targets a twofold aim: (1) wepresent a Bayesian probabilistic method to estimate the value and theuncertainty (in the form of a probability density function) ofparameters in crowd dynamic models from the experimental data; and (2)we introduce a fitness measure for the models to classify acouple of model structures (forces) according to their fitness to theexperimental data, preparing the stage for a more generalmodel-selection and validation strategy inspired by probabilistic dataanalysis. …”
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Statistics of Conditional Fluid Velocity in the Corrugated Flamelets Regime of Turbulent Premixed Combustion: A Direct Numerical Simulation Study by Nilanjan Chakraborty, Andrei N. Lipatnikov

“…Expressions for conditional mean velocity and conditional velocity correlations which are derived based on a presumed bimodal probability density function of reaction progress variable for unity Lewis number flames are assessed in this study with respect to the corresponding quantities extracted from DNS data. …”
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Individual Subjective Initiative Merge Model Based on Cellular Automaton by Yin-Jie Xu, Yu-Guang Chen, Chao Yang, Yi-Chao Pu

“…The merge control models proposed for work zones are classified into two types (Hard Control Merge (HCM) model and Soft Control Merge (SCM) model) according to their own control intensity and are compared with a new model, called Individual Subjective Initiative Merge (ISIM) model, which is based on the linear lane-changing probability strategy in the merging area. The attention of this paper is paid to the positive impact of the individual subjective initiative for the whole traffic system. …”
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A multi-strategy improved snake optimizer and its application to SVM parameter selection by Hong Lu, Hongxiang Zhan, Tinghua Wang

“…The differential evolution strategy (DES) helped to reduce the probability of falling into local optimal value. The experimental results of classical benchmark functions and CEC2022 showed that ISO had higher optimization precision and faster convergence rate. …”
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A Study on a Quantitative Analysis Method for Fire and Explosion Risk Assessment of Offshore Platforms by Zhaohui Shang, Huibin Yan, Weidong Ruan, Yong Bai

“…The proposed approach achieves the following three objectives: (a) defining a suitable number of leak scenarios quantitatively based on the Latin Hypercube Sampling (LHS) technique and statistical analysis; (b) defining the explosion scenarios according to the computational fluid dynamics (CFD) dispersion analysis results in the sampled leak scenarios; (c) designing the explosion loads on interested areas according to the CFD analysis results in different explosion scenarios and exceedance probability methods. The proposed method was applied to a process module of an example offshore platform. …”
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THE RADIATION DOSE PROFILE IN PEDIATRIC INTERVENTIONAL CARDIOLOGY TO ESTIMATE THE STOCHASTIC EFFECT RISK: PRELIMINARY STUDY by Lailatul Muqmiroh, Soegardo Indra Praptono, Rusmanto Rusmanto, Risalatul Latifah, nggraini Dwi Sensusiati

“…Conclusion: The greatest probability of stochastic effect that happened was leukemia. …”
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Review of statistical methods for survival analysis using genomic data by Seungyeoun Lee, Heeju Lim

“…Furthermore, machine learning approaches have been adapted for survival analysis, to fit nonlinear and complex interaction effects between predictors, and achieve more accurate prediction of individual survival probability. Presently, since most clinicians and medical researchers can easily assess statistical programs for analyzing survival data, a review article is helpful for understanding statistical methods used in survival analysis. …”
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An Emergency Packet Forwarding Scheme for V2V Communication Networks by Faika Hoque, Sungoh Kwon

“…Via simulations, we show that our proposed algorithm reduces the probability of rear-end crashes by 70% compared to previous algorithms by reducing the intervehicle delay. …”
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Promoting Variable Effect Consistency in Mixture Cure Model for Credit Scoring by Chenlu Zheng, Jianping Zhu, Xinyan Fan, Song Chen, Zhiyuan Zhang

“…Mixture cure models consist of two parts: an incident part which predicts the probability of default and a latency part which predicts when they are likely to default. …”
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Clear Cell Papillary Renal Cell Carcinoma in the Bilateral Native Kidneys after 2 Years of Renal Transplantation: Report of a Case and Review of the Literature by Zhanyong Bing, John E. Tomaszewski

“…Renal transplantation increases the probability of malignant tumors by about 2–4-fold overall with a much higher rate for renal epithelial malignancy. …”
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A Method of Arrival Angle Optimization in Single-Station Positioning Based on Statistical Features by Ting Li, Tongxin Liu, Xuehai Yang, Guobin Yang, Chunhua Jiang, Chongzhe Lao

“…By utilizing the extraction of the main peak area of the probability density distribution of the measured angle, as well as the two-dimensional Gaussian fitting and confidence ellipse bounding, the angle measurement results affected by colored noise interference and the noise points with large deviations can be sequentially filtered out. …”
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Quantile-Based Estimative VaR Forecast and Dependence Measure: A Simulation Approach by Khreshna Syuhada, Risti Nur’aini, Mahfudhotin

“…In both cases, the VaR forecast is obtained by employing its (conditional) probability distribution of loss data, specifically the quantile of loss distribution. …”
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Effect of Friction Coupling on Discharge Velocity Profiles and Force Chain Distribution of Maize Particles in Silos by Yong Feng, Caihua Yu, Fan Pan

“…However, the effects of internal and external friction coupling on the vertical velocity of the side particle, the horizontal velocity of the whole particle, and the spatial distribution and probability distribution of the force chain are more significant.…”
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Efficient group-based discovery for wireless sensor networks by Pengpeng Chen, Ying Chen, Shouwan Gao, Qiang Niu, Jun Gu

“…Instead of directly referring to the wake-up schedules of a whole group of nodes, efficient group-based discovery selectively recommends nodes that are most likely to be neighbors, in which the probability is calculated based on the nodes’ relative distance. …”
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