A Bayesian State-Space Approach to Dynamic Hierarchical Logistic Regression for Evolving Student Risk in Educational Analytics by Moeketsi Mosia

“…Early detection of academically at-risk students is crucial for designing timely interventions that improve educational outcomes. However, many existing approaches either ignore the temporal evolution of student performance or rely on “black box” models that sacrifice interpretability. …”
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Leveraging climate and remote sensing metrics for predicting forest carbon stock using Bayesian geostatistical modelling under a projected climate warming in Zimbabwe by Tsikai S. Chinembiri, Onisimo Mutanga, Timothy Dube

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HIV Transmission Misconceptions and Their Associated Factors Among Reproductive-Age Women in Somalia: Findings from a Nationwide Study by Mohamud LA, Hassan-Kadle MA, Abdullahi HM, Ahmed AA

“…Policies should focus on educating younger women, promoting female education, implementing region-specific health interventions, and enhancing internet access and digital literacy, particularly in rural areas, to improve HIV knowledge and support public health efforts.Keywords: HIV misconceptions, Somali women, digital literacy, bayesian analysis, highest posterior density interval, bayesian adjusted odds ratios, public health interventions…”
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An MCMC Approach to Bayesian Image Analysis in Fourier Space by Konstantinos Bakas, John Kornak, Hernando Ombao

“…Bayesian image analysis methods are commonly applied to solve image analysis problems such as noise reduction, feature enhancement, and object detection. …”
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A deep operator network for Bayesian parameter identification of self-oscillators by Tobias Sugandi, Bayu Dharmaputra, Nicolas Noiray

“…The low computational time of the forward path enables Bayesian inference of the parameters. Metropolis-adjusted Langevin algorithm is employed to obtain the posterior distribution of the parameters. …”
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The probability of reducing hospitalization rates for bronchiolitis with epinephrine and dexamethasone: A Bayesian analysis. by Larry Dong, Terry P Klassen, David W Johnson, Rhonda Correll, Serge Gouin, Maala Bhatt, Hema Patel, Gary Joubert, Karen J L Black, Troy W S Turner, Sandra R Whitehouse, Amy C Plint, Anna Heath

“…<h4>Objective</h4>To explore the probability that EpiDex results in a reduction in hospitalizations using Bayesian methods.…”
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Hierarchical Bayesian Reliability Model for Wind Turbines with Small Fault Sample Sets by Dameng WANG, Zhiyong MA, Yibing LIU, Wei TENG

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South Korea is the center for the origin and emanation of soybean mosaic virus with Bayesian phylogeographic inference by Shiqing Wei, Lei Zhang, Liang Cheng, Linwen Liu, Guoliang Chen, Hui Yang, Xiaoyan Qiu, Liya Luo, Guoshu Gong, Min Zhang

“…ABSTRACT Soybean mosaic virus (SMV) is one of the most serious viral pathogens, causing reductions in soybean yield worldwide. Using more than 350 time-stamped SMV coat protein encoding gene sequences from more than a dozen countries and regions in Central Asia, East Asia, North America, South America, and Western Europe, we investigated the phylodynamics of SMV to understand the origin and dispersal of the virus via Bayesian phylogeographic inference. …”
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On Bayesian estimation of a latent trait model defined by a rank-based likelihood by Daniel Biftu Bekalo, Anthony Kibira Wanjoya, Samuel Musili Mwalili

“…Performance metrics like mean absolute error, root mean square error, and 95% confidence interval coverage probability revealed the estimates from the proposed Bayesian method surpassed those from classical approaches. …”
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Efficacy and safety of prostaglandin drugs for elevated intraocular pressure: a Bayesian network meta-analysis by Jieting Peng, Wenrui Huang, Junguo Duan

“…Among these, bimatoprost showed the most effective reduction in intraocular pressure compared to latanoprost [mean difference (MD) 0.69; 95%confidence interval (CI) 0.28–1.1; SUCRA 95.6%; moderate confidence]. …”
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Data-driven soil salinization mapping: risk prediction and uncertainty quantification based on Bayesian inference by Yujian Yang, Ying Zhao, Rongjiang Yao, Xueqin Tong

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Bayesian parameter estimation and failure time prediction under double Type-II hybrid censoring for the generalized inverse exponential distribution by Shi Wei, Guoyuan He, Dalong Mo

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Time-Series Interval Forecasting with Dual-Output Monte Carlo Dropout: A Case Study on Durian Exports by Unyamanee Kummaraka, Patchanok Srisuradetchai

“…This paper explicitly details a practical approach integrating dual-output Monte Carlo Dropout (MCDO) with DNNs to approximate predictive means and variances within a Bayesian framework, enabling forecast interval construction. …”
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Predictors of postpartum depression among new mothers in Kumasi, Ghana: A multicenter study using Bayesian analysis by Joyce Emakayor Bening, Felix Darko, Richard Anterkyi, Vera Korkor Narh, Nana Yaa Agyeman Prempeh, Nityanand Jain, Albert Lawrence Kwansa, Ernest Kissi Kontor, Michael Ntim

“…Results: The pooled prevalence of postpartum depression was 25% (range 13% to 31%). Education attainment [coefficient = −0.43, 95% credible interval: −0.57 to −0.29, (adjusted odds ratio (aOR) = 0.65] and economic support from multiple earning members (coefficient = −0.28, 95% credible interval: −0.33 to −0.22, aOR = 0.75) substantially reduced the likelihood of postpartum depression. …”
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Source Reconstruction of Atmospheric Releases by Bayesian Inference and the Backward Atmospheric Dispersion Model: An Application to ETEX-I Data by Yungang Zhao, Yuanyuan Liu, Li Wang, Jianping Cheng, Shilian Wang, Qi Li

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Early reduction in gut microbiota diversity in critically ill patients is associated with mortality by Hannah Wozniak, Nadia Gaïa, Vladimir Lazarevic, Christophe Le Terrier, Tal Sarah Beckmann, Eleonora Balzani, Martin Urner, Jérôme Pugin, Jacques Schrenzel, Claudia-Paula Heidegger, Gut Microbiota working group

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Geographical and socioeconomic inequalities in female breast cancer incidence and mortality in Iran: A Bayesian spatial analysis of registry data. by Shadi Rahimzadeh, Beata Burczynska, Alireza Ahmadvand, Ali Sheidaei, Sara Khademioureh, Forough Pazhuheian, Sahar Saeedi Moghaddam, James Bentham, Farshad Farzadfar, Mariachiara Di Cesare

“…We estimated the age-standardised incidence and mortality rates in women aged more than 30 years for all 31 provinces in the consecutive time intervals 2000-2003, 2004-2007 and 2008-2010 using a Bayesian spatial model.…”
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Reliability Prediction Based on Multi-State Dynamic Bayesian Network Structure Learning for Complex System With Time-Lagged Correlation by Kaixin Liu, Weilu Chen

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Determinants of stillbirth among mothers who gave birth at Bishoftu General Hospital, Ethiopia: using a Bayesian logistic regression model by Yeshi Regassa, Hunde Lemi, Tesfaye Getachew Charkos

“…The collected data were entered into Epi-info version 7.2. A Bayesian logistic regression model was used in this study, with a 95% Credible interval to determine the association between independent variables and stillbirth. …”
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Early postnatal care uptake and its associated factors following childbirth in East Africa—a Bayesian hierarchical modeling approach by Bewuketu Terefe, Dejen Kahsay Asgedom, Fetlework Gubena Arage, Setognal Birara Aychiluhm, Tadesse Awoke Ayele

“…Hence, using the more flexible Bayesian multilevel modeling approach, this study aims to investigate the pooled prevalence and potential factors for PNC utilization among women after delivery in East African countries.MethodsWe retrieved secondary data from the Kids Record (KR) demographic and health surveys (DHS) data from 2015 to 2022 from 10 East African countries. …”
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