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

Get full text

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. …”
Get full text

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. …”
Get full text

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.…”
Get full text

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. …”
Get full text

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. …”
Get full text

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]. …”
Get full text

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. …”
Get full text

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

Get full text

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.…”
Get full text

The Role of Consumer Characteristics and Marketing Mix on the Waste of Agricultural Products by M. Mahmoudi, H. Mohammadi, A. Karbasi

“…Results and Discussion Based on the results in Table (7), the gender variable, with a mean value of 0.8285 for its parameter distribution, falls within the estimated confidence interval. It is identified as one of the factors influencing the reduction of waste in fruit and vegetable products. …”
Get full text

Helicobacter pylori eradication treatment for gastric carcinoma prevention in asymptomatic or dyspeptic adults: systematic review and Bayesian meta-analysis of randomised controlle... by Teruhiko Terasawa, Isao Miyashiro, Katsuaki Kato, Takaki Yoshikawa, Reo Takaku, Hiroshi Nishida

“…Eradication algorithms were heterogeneous, and unsuccessful eradication and reinfection were frequently observed. A Bayesian meta-analysis with competing risk outcomes found low-certainty evidence that eradication therapy might be more likely than control to reduce gastric carcinoma risk (HR=0.65; 95% credible interval (CrI) 0.41 to 1.0; I2=11%). …”
Get full text

Independent evaluation of Wolbachia infected male mosquito releases for control of Aedes aegypti in Harris County, Texas, using a Bayesian abundance estimator. by Saul Lozano, Kevin Pritts, Dagne Duguma, Chris Fredregill, Roxanne Connelly

“…To estimate mosquito population reduction, we used a mosquito abundance Bayesian hierarchical estimator that accounted for inefficient trapping. …”
Get full text

Impact of strategic public health interventions to reduce tuberculosis incidence in Brazil: a Bayesian structural time-series scenario analysisResearch in context by Klauss Villalva-Serra, Beatriz Barreto-Duarte, Moreno M. Rodrigues, Artur T.L. Queiroz, Leonardo Martinez, Julio Croda, Valeria C. Rolla, Afrânio L. Kritski, Marcelo Cordeiro-Santos, Timothy R. Sterling, Mariana Araújo-Pereira, Bruno B. Andrade

“…Under current trends, we forecasted TB incidence in Brazil to be 42.1 [34.1–49.8] per 100,000 person-years by 2030 (mean [95% prediction intervals]). A scenario considering decreases in TB cases among vulnerable populations resulted in an absolute reduction of −10.6 [−9.4 to −12.0] in projected TB incidence. …”
Get full text

Bayesian joint longitudinal and survival modeling of bipolar symptom burden and time to symptomatic recovery of patients with bipolar disorder at Jimma University Medical Center, J... by Tefera Fufa Kulute, Geremew Muleta Akessa, Demeke Kifle

“…There was a significant negative relationship between the subject-specific random intercept (baseline) of the burden of symptoms and the time to symptomatic recovery of bipolar disorder. Their 95% credible intervals exclude zero. Conclusions This study using the Bayesian joint modeling of longitudinal and survival has revealed a strong negative relationship between the event of recovery and the burden of bipolar symptoms at the baseline time. …”
Get full text

Optimal exercise dose on Body Mass Index (BMI) in children and adolescents with overweight and obesity: a systematic review and bayesian model-based network meta-analysis by Zan Huang, Gang Sun, Jiayu Li, Bin Zhang, Guangping Lai, Hongwei Jing, Yulan Zhou

Get full text

Global, regional, and national estimates of burden and risk factors of female cancers in child-bearing age: A systematic analysis for Global Burden of Disease Study and Bayesian pr... by Guang Chen, Shichen Zhou, Qiaoxin Shi, Yunqing Xun, Tung-Leong Fong, Ruogu Xiong, Ya Xuan Sun, Junjie Lu, Yige Li, Zheng Li, Guanghui Zhu, Ying Wu, Yang Zhou, Yibin Feng, Karen K.L. CHAN

“…Projections to 2030 were generated using a Bayesian model. Results: In 2021, the global incidence of breast, uterine, cervical, and ovarian cancer among WCBA was 561,438 (95 % Uncertainty Interval [UI]: 523,147–602,978), 58,860 (95 % UI: 50,765–65,452), 307,428 (95 % UI: 280,667–335,692), and 85,749 (95 % UI: 75,169–95,090), respectively, corresponding to age-standardized rates per 100,000 population of 28.1 (95 % Confidence Interval [CI]: 28.0–28.1), 2.9 (95 % CI: 2.9–3.0), 15.4 (95 % CI: 15.4–15.5), and 4.3 (95 % CI: 4.3–4.4). …”
Get full text

Assessment of the stock status for greenland halibut (<i>Reinhardtius hippoglossoides matsuurae</i>) in the Okhotsk Sea by V. V. Kulik, I. I. Glebov, N. L. Aseeva, R. N. Novikov

“…This conclusion is based on results of double filtering the posterior parameter estimates in the state-space generalized surplus production model JABBA (Just Another Bayesian Biomass Assessment), with additional tuning of the new model taking into account these results. …”
Get full text

Global burden of childhood developmental intellectual disability caused by iodine deficiency from 1990 to 2021 and projection to 2040 by Zihao Liu, Youhui Lin, Li Liang, Xuanyi Li, Zhiyin Wang, Wei Cheng

“…The slope index showed reductions in decline rates for prevalence (−19.256 [95%CI: −26.992, −11.520] to −12.531 [−16.107, − 8.955]) and YLDs (−3.662 [−5.047, − 2.276] to −2.451 [−3.144, − 1.757]), though overlapping confidence intervals indicated non-significance. …”
Get full text

Burdens of sense organ diseases across global, regional, and national levels from 1990 to 2021 and projections for 2050 by Min-Jun Zhao, Jian-Li Yin, Yang-Shuo Ge, Jia-Ying Ding, Chun-Meng Huang, Ting-Ting Meng, Cai Zhang, Xu-Bo Wu, Jian-Ju Liu, Dao-Fang Ding

“…Additionally, we identified risk factors influencing DALYs and projected future disease burden trends for 2022 to 2051 using Bayesian age-period-cohort (BAPC) models. Results In 2021, the global prevalent cases of SOD reached 2,386,160,888 (95% uncertainty interval [UI]: 2,207,871,226 to 2,591,000,614), with 77,327,293 DALYs cases (95% UI: 53,419,192 to 107,972,583). …”
Get full text