Temporal and Spatial Distribution Characteristics of NOx Emissions of City Buses on Real Road Based on Spatial Autocorrelation by Qikai Peng, Jiaqiang Li, Yanyan Wang, Longqing Zhao, Jianwei Tan, Chao He

“…To fill the data gaps and produce a complete data set, we combined Bayesian network modeling and probabilistic inference. …”
Get full text

Blind Source Parameters for Performance Evaluation of Despeckling Filters by Nagashettappa Biradar, M. L. Dewal, ManojKumar Rohit, Sanjaykumar Gowre, Yogesh Gundge

“…The quantitative evaluation and clinical validation reveal that the filters such as the nonlocal mean, posterior sampling based Bayesian estimation, hybrid median, and probabilistic patch based filters are acceptable whereas median, anisotropic diffusion, fuzzy, and Ripplet nonlinear approximation filters have limited applications for echocardiographic images.…”
Get full text

Molecular phylogeny and comparative chloroplast genome analysis of the type species Crucigenia quadrata by Ting Wang, Huan Feng, Huan Zhu, Bojian Zhong

“…Results In this study, we utilize molecular phylogenetics and comparative genomics to show that C. quadrata belongs to Chlorophyceae rather than Trebouxiophyceae. The Bayesian and maximum likelihood (ML) phylogenetic trees support a monophyletic group of C. quadrata and Scenedesmaceae (Chlorophyceae) species. …”
Get full text

Investigating the diet of Mesolithic groups in the Southern Alps: An attempt using stable carbon and nitrogen isotope analyses by Valentina Gazzoni, Gwenaëlle Goude, Giampaolo Dalmeri, Antonio Guerreschi, Elisabetta Mottes, Franco Nicolis, Fabrizio Antonioli, Federica Fontana

“…The isotopic data and the Bayesian model developed from the latter and from data in the literature indicate a very significant proportion of terrestrial resources in the protein fraction of the human diet, particularly from red deer compared to other ungulates and potentially from freshwater fish and small mammals. …”
Get full text

Research on the Human Rights and Cultural Protection of Environmentally Displaced Persons under Rising Sea Levels by Rui Xie, Wen-Bo Li, Meng-Chun Lin, Di Lu, Jia-Ming Zhu

“…We have established a Bayesian Network and a Fault Tree Model to demonstrate the improvement brought about by the implementation of policy recommendations from both qualitative and quantitative perspectives and use the method of fault tree analysis to illustrate the importance of policies from the degree of probability reduction after policy changes. …”
Get full text

Real-world pharmacovigilance of ofatumumab in multiple sclerosis: a comprehensive FAERS data analysis by Hui Chen

“…Statistical approaches used included the Reporting Odds Ratio, Proportional Reporting Ratio, Bayesian Confidence Propagation Neural Network, and Multi-item Gamma Poisson Shrinker. …”
Get full text

Model Optimization Analysis of Customer Churn Prediction Using Machine Learning Algorithms with Focus on Feature Reductions by Seyed Mohammad Sina Mirabdolbaghi, Babak Amiri

“…In the third step, light GBM’s hyperparameter is tuned using Bayesian hyperparameter optimization and genetic optimization algorithms. …”
Get full text

Unified Fingerprinting/Ranging Localization in Harsh Environments by Javier Prieto, Juan F. De Paz, Gabriel Villarrubia, Fernando De la Prieta, Juan M. Corchado

“…Such framework is conceived from the Bayesian perspective that facilitates the specification of recursive algorithms for real-time operation. …”
Get full text

Pain sensitivity mediates the relationship between empathy for pain and psychopathic traits by Dimana V. Atanassova, Inti A. Brazil, Christiaan E. A. Tomassen, Joukje M. Oosterman

“…Psychopathic traits (Interpersonal, Affective, Lifestyle and Antisocial) were assessed with the Self-Report Psychopathy Scale, and pain threshold (cold, electrical, pressure) and tolerance (cold, electrical) were measured. A Bayesian Structural Equation Modelling approach indicated that self-centered pain estimates and sensitivity to electrical pain predicted judgments of others’ pain (‘pain empathy’). …”
Get full text

Indirect evidence of an early mating advantage in wild cooperatively breeding male banded mongooses by Graham Birch, Michael A. Cant, Hazel J. Nichols, Magali Meniri, Robert Businge, Francis Mwanguhya, Jonathan D. Blount

“…We carry out an indirect rare test of an early mating advantage in a population of free-living wild animals. Using Bayesian GLMM analysis of a long-term life history database spanning 17 years, we show that banded mongoose males who interacted with females in earlier days of oestrus had a higher chance of siring their offspring compared with later rivals. …”
Get full text

Stock status of kawakawa Euthynnus affinis (Cantor, 1849) fishery using surplus production model: An assessment from coastal waters of Tamil Nadu, Bay of Bengal, Southeast coast of... by Rajendran Abinaya, Moosambikandy K. Sajeevan

“…The Catch-based MSY (CMSY), the Bayesian state-space Schaefer surplus production Model (BSM), and stochastic Surplus Production model in Continuous Time (SPiCT) packages were used to investigate the stock exploitation by running surplus production models with catch, catch per unit effort (CPUE), and other life history data. …”
Get full text

New Aquilariomyces and Mangifericomes species (Pleosporales, Ascomycota) from Aquilaria spp. in China by Tian-Ye Du, Samantha C. Karunarathna, Kevin D. Hyde, Somrudee Nilthong, Ausana Mapook, Dong-Qin Dai, Kunhiraman C. Rajeshkumar, Abdallah M. Elgorban, Li-Su Han, Hao-Han Wang, Saowaluck Tibpromma

“…Full descriptions, photo plates, and phylogenetic analyses (maximum likelihood and Bayesian inference analyses based on LSU, ITS, SSU, tef1-α, and rpb2 gene combinations) of the new species are provided, along with a comprehensive list of saprobic fungi associated with Aquilaria spp.…”
Get full text

Genomic exploration of the journey of Plasmodium vivax in Latin America. by Margaux J M Lefebvre, Fanny Degrugillier, Céline Arnathau, Gustavo A Fontecha, Oscar Noya, Sandrine Houzé, Carlo Severini, Bruno Pradines, Antoine Berry, Jean-François Trape, Fabian E Sáenz, Franck Prugnolle, Michael C Fontaine, Virginie Rougeron

“…Analyses of the genetic structure, diversity, ancestry, coalescent-based inferences, including demographic scenario testing using Approximate Bayesian Computation, have revealed a more complex evolutionary history than previously envisioned. …”
Get full text

IMPLEMENTATION OF GENOME-WIDE SELECTION IN WHEAT by G. Charmet, E. Storlie

“…This study assesses different models (GBLUP, Ridge Regression BLUP, Bayesian Ridge Regression and Lasso) and their ability to predict the yields of genotypes evaluated in a multi-site network from 2000 to 2009 in a highly unbalanced design. …”
Get full text

Phylogenetic Relationships in the Miracle Berry Genus, <i>Synsepalum</i>, Sensu Lato, and Relatives (Sapotaceae) by Daniel Potter, Mark Uleh

“…This study has been conducted to refine the phylogenetic relationships between and within the two genera utilizing nuclear and chloroplast DNA data. Bayesian analyses and Maximum likelihood of nuclear internal transcribed spacer (<i>ITS</i>) and plastid (<i>trnH-psbA</i>) sequences were used to reconstruct the phylogeny of the two genera. …”
Get full text

Chinaʼs Economic Growth, Energy Efficiency, and Industrial Development: Nonlinear Effects on Carbon Dioxide Emissions by Donghai Zhou, Binxia Chen, Jiahui Li, Yuanying Jiang

“…The first nonlinear structural model constructed is the TVP regression model. According to the Bayesian model comparison criterion, TVP-SV-VAR was selected as the second constructed model from four types of VAR models containing nonlinear structures. …”
Get full text

Estimation for Akshaya Failure Model with Competing Risks under Progressive Censoring Scheme with Analyzing of Thymic Lymphoma of Mice Application by Tahani A. Abushal, Jitendra Kumar, Abdisalam Hassan Muse, Ahlam H. Tolba

“…We consider the Akshaya lifetime failure model under independent causes and the number of subjects removed at every failure time when the removal follows the binomial distribution with known parameters. The classical and Bayesian approaches are used to account for the point and interval estimation procedures for parameters and parametric functions. …”
Get full text

Vibration Reliability Analysis of Aeroengine Rotor Based on Intelligent Neural Network Modeling Framework by Jia-Qi Liu, Yun-Wen Feng, Cheng Lu, Wei-Huang Pan, Da Teng

“…INNMF is based on the artificial neural network (ANN) algorithm through improved particle swarm optimization (PSO) algorithm and Bayesian Regularization (BR) optimization. Through the analysis of the rotor vibration reliability of the B737-800 aircraft during a flight mission from Beijing to Urumqi, the time-varying rotor vibration reliability was obtained, which verified the effectiveness and feasibility of the method. …”
Get full text

Earthquake-based multi-hazard resilience assessment: a case study of Istanbul, Turkey (neighborhood level) by Saman Ghaffarian, Mahyat Shafapourtehrany, Umut Lagap, Maryna Batur, Haluk Özener, Rıza Evren Kılcı, Himmet Karaman

“…The resilience assessment uses the Bayesian Best-Worst Method, a multi-criteria decision-making framework that combines expert knowledge and statistical assessments. …”
Get full text

Multiple sclerosis diagnosis with brain MRI retrieval: A deep learning approach by R.M. Haggag, Eman M. Ali, M.E. Khalifa, Mohamed Taha

“…Fine-tuning the hyper-parameters for the whole system was done using the Bayesian optimizer. We experiment with Nine different distance metrics to measure query and database image similarity. …”
Get full text