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You searched for: Subject "Bayesian theory" Remove constraint Subject: "Bayesian theory"
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1. Shared Bayesian variable shrinkage in multinomial logistic regression

Author:
Md Nazir Uddin; Jeremy T. Gaskins
Source:
Computational statistics & data analysis 2023 v.177 pp. 107568
ISSN:
0167-9473
Subject:
Bayesian theory,   etc   ; data analysis; regression analysis; shrinkage;     Show all 4 Subjects
Abstract:
... Multiple Bayesian approaches have been explored for variable selection in the multinomial regression framework. While there are a number of studies considering variable selection in the regression paradigm with a numerical response, the research is limited for a categorical response variable. The proposed approach develops a method for leveraging the features of the global-local shrinkage framewor ...
DOI:
10.1016/j.csda.2022.107568

2. DSSApple: A hybrid expert system for the diagnosis of post-harvest diseases of apple

Author:
Gabriele Sottocornola; Sanja Baric; Maximilian Nocker; Fabio Stella; Markus Zanker
Source:
Smart agricultural technology 2023 v.3 pp. 100070
ISSN:
2772-3755
Subject:
Bayesian theory,   etc   ; Internet; apples; cultivars; decision support systems; diagnostic techniques; fruits; streams;     Show all 8 Subjects
Abstract:
... Post-harvest diseases of apple can cause considerable economic losses. Thus, we developed DSSApple, an interactive web-based decision support system, that helps users to diagnose post-harvest diseases of domesticated apple based on observed macroscopic symptoms on fruit. Specifically, DSSApple is designed as a two-stream hybrid diagnostic tool, that can be effectively used by both expert and non-e ...
DOI:
10.1016/j.atech.2022.100070

3. Improving rice phenology simulations based on the Bayesian model averaging method

Author:
Jinhui Zheng; Shuai Zhang
Source:
European journal of agronomy 2023 v.142 pp. 126646
ISSN:
1161-0301
Subject:
Bayesian theory,   etc   ; agricultural management; agronomy; climate; model uncertainty; phenology; prediction; rice; simulation models;     Show all 9 Subjects
Abstract:
... Crop simulation models play an increasingly important role in agricultural management. Therefore, improving crop models’ accuracy and reliability has become a key issue. Previous studies have shown that multi-model ensembles (MMEs) perform better than individual models and are capable of assessing model uncertainty. Here, we study the use of the Bayesian model averaging (BMA) method to improve the ...
DOI:
10.1016/j.eja.2022.126646

4. Fast Bayesian inference on spectral analysis of multivariate stationary time series

Author:
Zhixiong Hu; Raquel Prado
Source:
Computational statistics & data analysis 2023 v.178 pp. 107596
ISSN:
0167-9473
Subject:
Bayesian theory,   etc   ; data collection; electroencephalography; models; spectral analysis; time series analysis; wind speed; California;     Show all 8 Subjects
Abstract:
... Spectral analysis discovers trends, periodic and other characteristics of a time series by representing these features in the frequency domain. However, when multivariate time series are considered, and the number of components increases, the size of the spectral density matrix grows quadratically, making estimation and inference rather challenging. The proposed novel Bayesian framework considers ...
DOI:
10.1016/j.csda.2022.107596

5. Prediction accuracies of cheese-making traits using Fourier-transform infrared spectra in goat milk

Author:
Giorgia Stocco; Christos Dadousis; Michele Pazzola; Giuseppe M. Vacca; Maria L. Dettori; Elena Mariani; Claudio Cipolat-Gotet
Source:
Food chemistry 2023 v.403 pp. 134403
ISSN:
0308-8146
Subject:
Bayesian theory,   etc   ; cheesemaking; cheeses; dairy goats; farms; food chemistry; goat milk; milk; prediction; spectroscopy;     Show all 10 Subjects
Abstract:
... The objectives of this study were to explore the use of Fourier-transform infrared (FITR) spectroscopy on 458 goat milk samples for predicting cheese-making traits, and to test the effect of the farm variability on their prediction accuracy. Calibration equations were developed using a Bayesian approach with three different scenarios: i) a random cross-validation (CV) [80% calibration (CAL); 20% v ...
DOI:
10.1016/j.foodchem.2022.134403

6. Application of the weibull model to describe the kinetic behaviors of thiol decolorizers in chlorogenic acid-lysine solutions

Author:
Charles Taylor Drucker; Lilian Were Senger; Criselda Toto Pacioles
Source:
Journal of food engineering 2023 v.339 pp. 111287
ISSN:
0260-8774
Subject:
Bayesian theory,   etc   ; Weibull statistics; chlorogenic acid; color; cumulative distribution; cysteine; decolorization; glutathione; models; pH; thiols;     Show all 11 Subjects
Abstract:
... Thiols (cysteine and glutathione) were explored as potential decolorization agents to mitigate green pigment formation in chlorogenic acid quinone-lysine solutions. Reparameterizations of the Weibull cumulative distribution function were applied to describe the time-dependence of greening under varying pH conditions. Repeated fitting of 3-parameter models (RMSE = 0.0111, CVRMSE = 1.55%) indicated ...
DOI:
10.1016/j.jfoodeng.2022.111287

7. Advancing freshwater ecological forecasts: Harmful algal blooms in Lake Erie

Author:
Donald Scavia; Yu-Chen Wang; Daniel R. Obenour
Source:
Science of the total environment 2023 v.856 pp. 158959
ISSN:
0048-9697
Subject:
Bayesian theory,   etc   ; case studies; data collection; ecosystems; environment; freshwater; lakes; models; phosphorus; poisonous algae; spring; uncertainty; Lake Erie;     Show all 13 Subjects
Abstract:
... Ecological models help provide forecasts of ecosystem responses to natural and anthropogenic stresses. However, their ability to create reliable predictions requires forecasts with track records sufficiently long to build confidence, skill assessments, and treating uncertainty quantitatively. We use Lake Erie harmful algal blooms as a case study to help formalize ecological forecasting. Key challe ...
DOI:
10.1016/j.scitotenv.2022.158959

8. Bayesian joint modeling for causal mediation analysis with a binary outcome and a binary mediator: Exploring the role of obesity in the association between cranial radiation therapy for childhood acute lymphoblastic leukemia treatment and the long-term risk of insulin resistance

Author:
Miguel Caubet; Mariia Samoilenko; Simon Drouin; Daniel Sinnett; Maja Krajinovic; Caroline Laverdière; Valérie Marcil; Geneviève Lefebvre
Source:
Computational statistics & data analysis 2023 v.177 pp. 107586
ISSN:
0167-9473
Subject:
Bayesian theory,   etc   ; childhood; data analysis; insulin resistance; lymphocytic leukemia; models; obesity; radiotherapy; regression analysis; relative risk; sample size;     Show all 11 Subjects
Abstract:
... Mediation analysis with a binary outcome is notoriously more challenging than with a continuous outcome. A new Bayesian approach for performing causal mediation with a binary outcome and a binary mediator, named the t-link approach, is introduced. This approach relies on the Bayesian multivariate logistic regression model introduced by O'Brien and Dunson (2004) and its Student-t approximation. By ...
DOI:
10.1016/j.csda.2022.107586

9. Association of phthalate exposure with low birth weight in couples conceiving naturally or via assisted reproductive technology in a prospective birth cohort

Author:
Lu Zang; Hong Lv; Jiangbo Du; Yitao Pan; Yuan Lin; Jiayin Dai
Source:
Science of the total environment 2023 v.855 pp. 158852
ISSN:
0048-9697
Subject:
Bayesian theory,   etc   ; assisted reproductive technologies; cohort studies; conception; confidence interval; environment; low birth weight; maternal exposure; metabolites; phthalates; risk; urine; China;     Show all 13 Subjects
Abstract:
... Few studies have investigated the adverse effects of preconception phthalate (PAE) exposure on birth weight in couples receiving assisted reproductive technology (ART) compared to naturally conceived newborns. We examined the association between parental preconception/prenatal urinary phthalate exposure and low birth weight (LBW) risk in couples who conceived using ART or naturally. From the Jiang ...
DOI:
10.1016/j.scitotenv.2022.158852

10. Joint effect of multiple air pollutants on cardiometabolic health in normal-weight and obese adults: A novel insight into the role of circulating free fatty acids

Author:
Wenlou Zhang; Wanzhou Wang; Luyi Li; Mark R. Miller; Liyan Cui; Junxiu Liu; Yang Wang; Dayu Hu; Shan Liu; Junhui Xu; Shaowei Wu; Junchao Duan; Zhiwei Sun; Xinbiao Guo; Furong Deng
Source:
Science of the total environment 2023 v.856 pp. 159014
ISSN:
0048-9697
Subject:
Bayesian theory,   etc   ; air; air pollutants; air pollution; biomarkers; blood lipids; blood pressure; coagulation; environment; enzymes; high density lipoprotein cholesterol; homeostasis; inflammation; lipogenesis; metabolomics; triacylglycerols;     Show all 16 Subjects
Abstract:
... The cardiometabolic effects of air pollution in the context of mixtures and the underlying mechanisms remain not fully understood. This study aims to investigate the joint effect of air pollutant mixtures on a broad range of cardiometabolic parameters, examine the susceptibility of obese individuals, and determine the role of circulating fatty acids. In this panel study, metabolically healthy norm ...
DOI:
10.1016/j.scitotenv.2022.159014

11. Is Lutjanus argentimaculatus genetically connected along the Arabian Sea and Bay of Bengal? A study using microsatellite markers

Author:
N. Vineesh; I. Shihab; K.V. Akhilesh; K.A. Sajeela; M. Muktha; A. Gopalakrishnan
Source:
Aquaculture 2023 v.562 pp. 738863
ISSN:
0044-8486
Subject:
Bayesian theory,   etc   ; Lutjanus argentimaculatus; aquaculture; cluster analysis; gene flow; genetic resources; genetic structure; genetic variation; marine fish; microsatellite repeats; multidimensional scaling; Arabian Sea; Bay of Bengal;     Show all 13 Subjects
Abstract:
... The mangrove red snapper, Lutjanus argentimaculatus, is a marine fish of key economic and cultural importance in the Indo-Pacific region. It is now considered much more of an important aquaculture species than capture fisheries. The present study aimed to reveal the genetic structure of this candidate species from the Arabian Sea and Bay of Bengal using microsatellite markers. Twelve microsatellit ...
DOI:
10.1016/j.aquaculture.2022.738863

12. Prenatal exposure to organophosphate esters is associated with decreased anogenital distance in offspring

Author:
Min Luan; Hong Liang; Yafei Chen; Da Chen; Honglei Ji; Hexia Chen; Maohua Miao; Wei Yuan
Source:
Science of the total environment 2023 v.856 pp. 159050
ISSN:
0048-9697
Subject:
Bayesian theory,   etc   ; biomarkers; biphenyl; cohort studies; environment; gestational age; homeostasis; humans; maternal exposure; metabolites; organophosphorus compounds; phosphates; progeny; reproductive toxicology; rodents; sex hormones; steroid hormones; urine;     Show all 18 Subjects
Abstract:
... Evidence from in vitro and rodent studies suggests that organophosphate esters (OPEs) may disrupt sex steroid hormone homeostasis, but no human studies, to date, have examined the effects of in utero exposure to OPEs on offspring reproductive development. Anogenital distance (AGD) is a sensitive biomarker of fetal hormonal milieu and has been used to assess reproductive toxicity. We evaluated the ...
DOI:
10.1016/j.scitotenv.2022.159050

13. Phylogenetic relationships and the origin of New World soles (Teleostei: Pleuronectiformes: Achiridae): The role of estuarine habitats

Author:
Jamille A. Bitencourt; Paulo R.A.M. Affonso; Robson T.C. Ramos; Horacio Schneider; Iracilda Sampaio
Source:
Molecular phylogenetics and evolution 2023 v.178 pp. 107631
ISSN:
1055-7903
Subject:
Bayesian theory,   etc   ; Achirus; Miocene epoch; Pleistocene epoch; Pliocene epoch; Trinectes; adenosinetriphosphatase; basins; continental shelf; cytochrome b; cytochrome-c oxidase; estuaries; freshwater; leukemia; mitochondria; monophyly; rhodopsin; statistical analysis;     Show all 18 Subjects
Abstract:
... Even though the monophyletic status of Achiridae has been supported by morphological and molecular data, the interrelationships within the representatives of this family are poorly resolved. In the present study, we carried out the most complete molecular phylogenetic analysis of this group, encompassing all genera and employing both nuclear (Rhodopsin, Recombination activator [Rag 1], Mixed – lin ...
DOI:
10.1016/j.ympev.2022.107631

14. Atmospheric deposition as a direct source of particulate organic carbon in region coastal surface seawater: Evidence from stable carbon and nitrogen isotope analysis

Author:
Lei Xie; Xuelu Gao; Yongliang Liu; Bo Yang; Huamao Yuan; Xuegang Li; Jinming Song; Jianmin Zhao; Qianguo Xing
Source:
Science of the total environment 2023 v.854 pp. 158540
ISSN:
0048-9697
Subject:
Bayesian theory,   etc   ; atmospheric deposition; autumn; biomass; coal; coasts; environment; fuel combustion; isotopes; models; nitrogen; particulate organic carbon; particulates; seasonal variation; seawater; spring; summer; total organic carbon; winter; Yellow Sea;     Show all 20 Subjects
Abstract:
... To assess the source characteristics of coastal aerosols and evaluate the contribution of atmospheric deposition to particulate organic matter in surface seawater, total suspended particulates (TSP) were collected at a shore-based site on the south coast of North Yellow Sea from December 2019 through November 2020. The samples were analyzed for total organic carbon (TOC) and nitrogen (TN) as well ...
DOI:
10.1016/j.scitotenv.2022.158540

15. A hierarchical object oriented Bayesian network-based fault diagnosis method for building energy systems

Author:
Tingting Li; Yangze Zhou; Yang Zhao; Chaobo Zhang; Xuejun Zhang
Source:
Applied energy 2022 v.306 pp. 118088
ISSN:
0306-2619
Subject:
Bayesian theory,   etc   ; algorithms; energy;     Show all 3 Subjects
Abstract:
... Bayesian network is a powerful algorithm to diagnose the faults in building energy systems based on incomplete and uncertain diagnostic information. In practice, it is very challenging to construct Bayesian networks for large-scale and complex systems. Inspired by the object oriented programming technology, a hierarchical object oriented Bayesian network-based method is proposed in this study. Its ...
DOI:
10.1016/j.apenergy.2021.118088

16. Automatic modeling of socioeconomic drivers of energy consumption and pollution using Bayesian symbolic regression

Author:
Daniel Vázquez; Roger Guimerà; Marta Sales-Pardo; Gonzalo Guillén-Gosálbez
Source:
Sustainable Production and Consumption 2022 v.30 pp. 596-607
ISSN:
2352-5509
Subject:
Bayesian theory,   etc   ; energy; equations; pollution;     Show all 4 Subjects
Abstract:
... Predicting countries’ energy consumption and pollution levels precisely from socioeconomic drivers will be essential to support sustainable policy-making in an effective manner. Current predictive models, like the widely used STIRPAT equation, are based on rigid mathematical expressions that assume constant elasticities. Using a Bayesian approach to symbolic regression, here we explore a vast amou ...
DOI:
10.1016/j.spc.2021.12.025

17. Quo vadis, agent-based modelling tools?

Author:
Aisling J. Daly; Lander De Visscher; Jan M. Baetens; Bernard De Baets
Source:
Environmental modelling & software 2022 v.157 pp. 105514
ISSN:
1364-8152
Subject:
Bayesian theory,   etc   ; computer software; models;     Show all 3 Subjects
Abstract:
... Agent-based models (ABMs) are an increasingly popular choice for simulating large systems of interacting components, and have been applied across a wide variety of natural and environmental systems. However, ABMs can be incredibly disparate and often opaque in their formulation, implementation, and analysis. This can impede critical assessment and re-implementation, and jeopardize the reproducibil ...
DOI:
10.1016/j.envsoft.2022.105514

18. Reducing emissions of atmospheric pollutants along major dry bulk and tanker routes through autonomous shipping

Author:
Jiahui Liu; Adrian Wing-Keung Law; Okan Duru
Source:
Journal of environmental management 2022 v.302 pp. 114080
ISSN:
0301-4797
Subject:
Bayesian theory,   etc   ; algorithms; sea transportation;     Show all 3 Subjects
Abstract:
... The present study investigates the environmental benefits of phasing-in autonomous ships in global maritime transportation along major dry bulk and tanker routes using Bayesian probabilistic forecasting algorithm. The focus is on the simulations and calibrations on the navigational behavior of autonomous ships at both port and high-sea, as well as the potential emission abatement of atmospheric po ...
DOI:
10.1016/j.jenvman.2021.114080

19. Analysis of the Origin and Dissemination of HIV-1 Subtype C in Bulgaria

Author:
Ivailo Alexiev; Carla Mavian; Taylor Paisie; Massimo Ciccozzi; Reneta Dimitrova; Anna Gancheva; Asya Kostadinova; Carole Seguin-Devaux; Marco Salemi
Source:
Viruses 2022 v.14 no.2 pp. -
ISSN:
1999-4915
Subject:
Bayesian theory,   etc   ; phylogeny; phylogeography; Bulgaria;     Show all 4 Subjects
Abstract:
... HIV-1 subtype C is the most abundant strain of HIV-1 infections worldwide and was found in the first known patients diagnosed with HIV/AIDS in Bulgaria in 1986. However, there is limited information on the molecular-epidemiological characteristics of this strain in the epidemic of the country. In this study, we analyze the evolutionary history of the introduction and dissemination of HIV-1 subtype ...
DOI:
10.3390/v14020263

20. Fast increased fidelity samplers for approximate Bayesian Gaussian process regression

Author:
Kelly R. Moran; Matthew W. Wheeler
Source:
Journal of the Royal Statistical Society 2022 v.84 no.4 pp. 1198-1228
ISSN:
1369-7412
Subject:
Bayesian theory,   etc   ; algorithms; normal distribution;     Show all 3 Subjects
Abstract:
... Gaussian processes (GPs) are common components in Bayesian non‐parametric models having a rich methodological literature and strong theoretical grounding. The use of exact GPs in Bayesian models is limited to problems containing several thousand observations due to their prohibitive computational demands. We develop a posterior sampling algorithm using H‐matrix approximations that scales at O(nlog ...
DOI:
10.1111/rssb.12494