An investigation of machine learning methods applied to genomic prediction in yellow-feathered broilers by Bogong Liu, Huichao Liu, Junhao Tu, Jian Xiao, Jie Yang, Xi He, Haihan Zhang

“…For eviscerated weight (EW), ML methods still outperformed GBLUP and Bayesian methods. MLP gained the largest improvement at 19.0%, while SVR, RF, GBDT, XGBoost, LightGBM, and KRR improved by 15.0%, 16.5%, 9.5%, 7.0%, 1.6%, and 15.9%, respectively. …”
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Within‐chain parallelization—Giving Stan Jet Fuel for population modeling in pharmacometrics by Casey Davis, Pavan Vaddady

“…However, MCMC is computationally expensive and can be time‐consuming, enough so that people will often forgo Bayesian methods for a more traditional approach. This paper shows how to speed up the sampling process in Stan by within‐chain parallelization through both multi‐threading using Stan's reduce_sum() function and multi‐processing using Torsten's group ODE solver. …”
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Bayesian and non-bayesian analysis for stress-strength model based on progressively first failure censoring with applications. by Salem A Alyami, Amal S Hassan, Ibrahim Elbatal, Olayan Albalawi, Mohammed Elgarhy, Ahmed R El-Saeed

“…This article examines the estimate of ϑ = P [T < Q], using both Bayesian and non-Bayesian methods, utilizing progressively first-failure censored data. …”
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On Optimal Progressive Censoring Schemes from Models with U-Shaped Hazard Rate: A Comparison between Conventional and Fuzzy Priors by Navid Feroze, Muhammad Noor-ul-Amin, Maryam Sadiq, Md. Moyazzem Hossain

“…This paper explores the optimal censoring schemes from models with U-shaped hazard rates (USHRs) using Bayesian methods. Topp-Leone (TL) distribution has been considered as a special case. …”
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A Mixed Prediction Model of Ground Subsidence for Civil Infrastructures on Soft Ground by Kiyoshi Kobayashi, Kiyoyuki Kaito

“…The mixed model can be updated by the Bayesian methods based upon the newly obtained monitoring data. …”
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Second-round effects of food prices on core inflation in Turkey by Türken Fatma, Yildirim Mustafa Ozan

“…Incorporating domestic and international macroeconomic variables, the model identifies second-round effects by imposing theory-based constraints and leveraging Bayesian methods. Results reveal that core inflation reacts strongly to food price shocks, with rising food prices worsening inflation expectations and amplifying second-round effects on overall inflation. …”
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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

“…This paper presents a Bayesian network model for estimating origin-destination matrices. Most existing Bayesian methods adopt prior OD matrixes, which are always troublesome to be obtained. …”
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Bayesian Hierarchical Risk Premium Modeling with Model Risk: Addressing Non-Differential Berkson Error by Minkun Kim, Marija Bezbradica, Martin Crane

“…Using simulated datasets developed with varying error rate scenarios, we demonstrate the superiority of Bayesian methods in correcting parameter estimates. However, our modeling process highlights the challenge in accurately identifying the variance of NDB errors. …”
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Reliability analysis of new jointly Type-II hybrid NH censored data and its modeling for three engineering cases by Maysaa Elmahi Abd Elwahab, Ahmed Elshahhat, Ohud A. Alqasem, Mazen Nassar

“…We consider two estimation approaches, maximum likelihood and Bayesian methods, to obtain point and interval estimates of the model parameters. …”
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Data-based regression models for predicting remifentanil pharmacokinetics by Prathvi Shenoy, Mahadev Rao, Shreesha Chokkadi, Sushma Bhatnagar, Naveen Salins

“…By optimising the hyperparameters with Bayesian methods, the performance of these models is significantly improved, attaining the minimum MSE value. …”
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A novel framework for increasing research transparency: Exploring the connection between diversity and innovation. by Timothy R Wojan, Dayton M Lambert

“…In addition to increasing statistical power by using information from the full sample, Bayesian methods directly estimate a probability distribution for the magnitude of an effect, allowing much richer inference. …”
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Bayesian Estimation for the Doubly Censored Topp Leone Distribution using Approximate Methods and Fuzzy Type of Priors by Navid Feroze, Ali Al-Alwan, Muhammad Noor-ul-Amin, Shajib Ali, R. Alshenawy

“…The Topp Leone distribution (TLD) is a lifetime model having finite support and U-shaped hazard rate; these features distinguish it from the famous lifetime models such as gamma, Weibull, or Log-normal distribution. The Bayesian methods are very much linked to the Fuzzy sets. …”
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Dynamics of global economic growth: a Bayesian exploration of basic and augmented Solow models by Nguyen Thi My Diem, Nguyen Ngoc Thach

“…In addressing these challenges, Bayesian methods present a compelling alternative. This study rigorously examines both the basic and augmented Solow growth models using a Bayesian non-linear approach applied to a global panel dataset spanning 1970 to 2019. …”
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Bivariate power Lomax Sarmanov distribution: Statistical properties, Reliability measures, and Parameter estimation by M.A. Abd Elgawad, M.A. Alawady, H.M. Barakat, G.M. Mansour, I.A. Husseiny, Salem A. Alyami, Atef F. Hashem, M.O. Mohamed

“…Model parameters are estimated using the maximum likelihood (ML) and Bayesian methods. Moreover, we derive asymptotic confidence intervals for the parameter model. …”
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A novel quantile regression for fractiles based on unit logistic exponential distribution by Hanan Haj Ahmad, Kariema A. Elnagar

“…The statistical properties of the ULE distribution were studied, and parameter estimation through maximum likelihood estimation, Bayesian methods, maximum product spacings, and least squares estimates were conducted. …”
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Rearranging the Bird’s Nest Fungi: molecular review of internal clades in Cyathus (Nidulariaceae, Basidiomycota) by Rhudson Henrique Santos Ferreira da Cruz, Jefferson dos Santos Góis, Paulo Marinho, Iuri Goulart Baseia, Kentaro Hosaka

“…In the phylogenetic analysis, using Maximum Parsimony and Bayesian methods, sequences of ITS and LSU regions from 41 samples of 39 species of Cyathus, 26 were placed with some nomenclatural types. …”
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An Effective 3D Instance Map Reconstruction Method Based on RGBD Images for Indoor Scene by Heng Wu, Yanjie Liu, Chao Wang, Yanlong Wei

“…We integrate these point cloud segments into a global voxel map, updating each voxel’s class using color, distance constraints, and Bayesian methods to create an object-level instance map. …”
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Safedrive dreamer: Navigating safety–critical scenarios in autonomous driving with world models by Haitao Li, Tao Peng, Bangan Wang, Ronghui Zhang, Bolin Gao, Ningguo Qiao, Zhiwei Guan, Jiayin Li, Tianyu shi

“…Furthermore, to reduce trial-and-error costs in real-world applications, this study employs PAC-Bayesian methods to derive generalization error bounds between simulations and reality, enabling a more effective transfer of knowledge and experience from simulations to real-world scenarios. …”
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Bayesian Approach to Equipartition Estimation of Magnetic Field Strength by Adam A. Zychowicz, Krzysztof T. Chyży

“…We present a new approach for calculating the equipartition magnetic field strength based on Bayesian methods. In this approach, the magnetic field is a random variable that is distributed according to a posterior distribution conditional on synchrotron emission and the size of the emitting region. …”
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Diversity of Rhizophydiales (Chytridiomycota) in Thailand: unveiling the hidden gems of the Kingdom by Vedprakash G. Hurdeal, Joyce E. Longcore, E. B. Gareth Jones, Kevin D. Hyde, Eleni Gentekaki

“…To confirm the novelty of the species, we employed robust phylogenetic analyses using maximum likelihood and bayesian methods. The results provided strong support for the presence of eight distinct lineages within the Rhizophydiales, representing our newly discovered species. …”
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