Artículos de revistas sobre el tema "Hierarchical Bayesian Priors"
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Song, Chengyuan, Dongchu Sun, Kun Fan y Rongji Mu. "Posterior Propriety of an Objective Prior in a 4-Level Normal Hierarchical Model". Mathematical Problems in Engineering 2020 (14 de febrero de 2020): 1–10. http://dx.doi.org/10.1155/2020/8236934.
Texto completoJiao, Yan, Christopher Hayes y Enric Cortés. "Hierarchical Bayesian approach for population dynamics modelling of fish complexes without species-specific data". ICES Journal of Marine Science 66, n.º 2 (26 de septiembre de 2008): 367–77. http://dx.doi.org/10.1093/icesjms/fsn162.
Texto completoZhang, Hai, Puyu Wang, Qing Dong y Pu Wang. "Sparse Bayesian linear regression using generalized normal priors". International Journal of Wavelets, Multiresolution and Information Processing 15, n.º 03 (16 de febrero de 2017): 1750021. http://dx.doi.org/10.1142/s0219691317500217.
Texto completoChan, Joshua C. C. "Minnesota-type adaptive hierarchical priors for large Bayesian VARs". International Journal of Forecasting 37, n.º 3 (julio de 2021): 1212–26. http://dx.doi.org/10.1016/j.ijforecast.2021.01.002.
Texto completoScarpa, Bruno y David B. Dunson. "Bayesian Hierarchical Functional Data Analysis Via Contaminated Informative Priors". Biometrics 65, n.º 3 (23 de enero de 2009): 772–80. http://dx.doi.org/10.1111/j.1541-0420.2008.01163.x.
Texto completoGu, Xiaojing, Henry Leung y Xingsheng Gu. "Bayesian Sparse Estimation Using Double Lomax Priors". Mathematical Problems in Engineering 2013 (2013): 1–17. http://dx.doi.org/10.1155/2013/176249.
Texto completoLiang, Xinya, Akihito Kamata y Ji Li. "Hierarchical Bayes Approach to Estimate the Treatment Effect for Randomized Controlled Trials". Educational and Psychological Measurement 80, n.º 6 (16 de marzo de 2020): 1090–114. http://dx.doi.org/10.1177/0013164420909885.
Texto completoNam, Hyun Woo. "Modeling hyper-priors for Bayesian IRT equating: Fixed hyper-parameters or Hierarchical hyper-priors". Korean Society for Educational Evaluation 32, n.º 4 (30 de diciembre de 2019): 777–95. http://dx.doi.org/10.31158/jeev.2019.32.4.777.
Texto completoWang, Mengxi, Qingwang Liu, Liyong Fu, Guangxing Wang y Xiongqing Zhang. "Airborne LIDAR-Derived Aboveground Biomass Estimates Using a Hierarchical Bayesian Approach". Remote Sensing 11, n.º 9 (3 de mayo de 2019): 1050. http://dx.doi.org/10.3390/rs11091050.
Texto completoKrishnan, Ranganath, Mahesh Subedar y Omesh Tickoo. "Specifying Weight Priors in Bayesian Deep Neural Networks with Empirical Bayes". Proceedings of the AAAI Conference on Artificial Intelligence 34, n.º 04 (3 de abril de 2020): 4477–84. http://dx.doi.org/10.1609/aaai.v34i04.5875.
Texto completoCucchi, Karina, Falk Heße, Nura Kawa, Changhong Wang y Yoram Rubin. "Ex-situ priors: A Bayesian hierarchical framework for defining informative prior distributions in hydrogeology". Advances in Water Resources 126 (abril de 2019): 65–78. http://dx.doi.org/10.1016/j.advwatres.2019.02.003.
Texto completoShan, Bowei. "Estimation of Response Functions Based on Variational Bayes Algorithm in Dynamic Images Sequences". BioMed Research International 2016 (2016): 1–9. http://dx.doi.org/10.1155/2016/4851401.
Texto completoNegrín-Hernández, Miguel-Angel, María Martel-Escobar y Francisco-José Vázquez-Polo. "Bayesian Meta-Analysis for Binary Data and Prior Distribution on Models". International Journal of Environmental Research and Public Health 18, n.º 2 (19 de enero de 2021): 809. http://dx.doi.org/10.3390/ijerph18020809.
Texto completoGhoreishi, S. K. "Bayesian analysis of hierarchical heteroscedastic linear models using Dirichlet-Laplace priors". Journal of Statistical Theory and Applications 16, n.º 1 (2017): 53. http://dx.doi.org/10.2991/jsta.2017.16.1.5.
Texto completoBhattacharya, Samir K. y Ram C. Tiwari. "Hierarchical Bayesian reliability analysis using Erlang families of priors and hyperpriors". Microelectronics Reliability 32, n.º 1-2 (enero de 1992): 241–47. http://dx.doi.org/10.1016/0026-2714(92)90102-q.
Texto completoPeters, Megan A. K., Ling-Qi Zhang y Ladan Shams. "The material-weight illusion is a Bayes-optimal percept under competing density priors". PeerJ 6 (11 de octubre de 2018): e5760. http://dx.doi.org/10.7717/peerj.5760.
Texto completoMohite, Siddharth R., Priyadarshini Rajkumar, Shreya Anand, David L. Kaplan, Michael W. Coughlin, Ana Sagués-Carracedo, Muhammed Saleem et al. "Inferring Kilonova Population Properties with a Hierarchical Bayesian Framework. I. Nondetection Methodology and Single-event Analyses". Astrophysical Journal 925, n.º 1 (1 de enero de 2022): 58. http://dx.doi.org/10.3847/1538-4357/ac3981.
Texto completoNabi, Sareh, Houssam Nassif, Joseph Hong, Hamed Mamani y Guido Imbens. "Bayesian Meta-Prior Learning Using Empirical Bayes". Management Science 68, n.º 3 (marzo de 2022): 1737–55. http://dx.doi.org/10.1287/mnsc.2021.4136.
Texto completoLIU, Shuai, Licheng JIAO, Shuyuan YANG y Hongying LIU. "Hierarchical Sparse Bayesian Learning with Beta Process Priors for Hyperspectral Imagery Restoration". IEICE Transactions on Information and Systems E100.D, n.º 2 (2017): 350–58. http://dx.doi.org/10.1587/transinf.2016edp7322.
Texto completoKeefe, Matthew J., Marco A. R. Ferreira y Christopher T. Franck. "Objective Bayesian Analysis for Gaussian Hierarchical Models with Intrinsic Conditional Autoregressive Priors". Bayesian Analysis 14, n.º 1 (marzo de 2019): 181–209. http://dx.doi.org/10.1214/18-ba1107.
Texto completoBell, Andrew y Kelvyn Jones. "Bayesian informative priors with Yang and Land’s hierarchical age–period–cohort model". Quality & Quantity 49, n.º 1 (25 de diciembre de 2013): 255–66. http://dx.doi.org/10.1007/s11135-013-9985-3.
Texto completoDonegan, Connor, Yongwan Chun y Amy E. Hughes. "Bayesian estimation of spatial filters with Moran’s eigenvectors and hierarchical shrinkage priors". Spatial Statistics 38 (agosto de 2020): 100450. http://dx.doi.org/10.1016/j.spasta.2020.100450.
Texto completoZhou, Feng y Xueru Bai. "High-Resolution Sparse Subband Imaging Based on Bayesian Learning With Hierarchical Priors". IEEE Transactions on Geoscience and Remote Sensing 56, n.º 8 (agosto de 2018): 4568–80. http://dx.doi.org/10.1109/tgrs.2018.2827072.
Texto completoAbdelnour, Farras, Christopher Genovese y Theodore Huppert. "Hierarchical Bayesian regularization of reconstructions for diffuse optical tomography using multiple priors". Biomedical Optics Express 1, n.º 4 (6 de octubre de 2010): 1084. http://dx.doi.org/10.1364/boe.1.001084.
Texto completoMcCandless, Lawrence C., Paul Gustafson, Adrian R. Levy y Sylvia Richardson. "Hierarchical priors for bias parameters in Bayesian sensitivity analysis for unmeasured confounding". Statistics in Medicine 31, n.º 4 (17 de enero de 2012): 383–96. http://dx.doi.org/10.1002/sim.4453.
Texto completoOdegaard, Brian y Ladan Shams. "The Relationship Between Audiovisual Binding Tendencies and Prodromal Features of Schizophrenia in the General Population". Clinical Psychological Science 5, n.º 4 (9 de junio de 2017): 733–41. http://dx.doi.org/10.1177/2167702617704014.
Texto completoMacNab, Ying C. "On Gaussian Markov random fields and Bayesian disease mapping". Statistical Methods in Medical Research 20, n.º 1 (14 de junio de 2010): 49–68. http://dx.doi.org/10.1177/0962280210371561.
Texto completoGILL, JEFF y JOHN R. FREEMAN. "Dynamic elicited priors for updating covert networks". Network Science 1, n.º 1 (abril de 2013): 68–94. http://dx.doi.org/10.1017/nws.2012.6.
Texto completoYang, Bishan, Claire Cardie y Peter Frazier. "A Hierarchical Distance-dependent Bayesian Model for Event Coreference Resolution". Transactions of the Association for Computational Linguistics 3 (diciembre de 2015): 517–28. http://dx.doi.org/10.1162/tacl_a_00155.
Texto completoDelgado, H. E., L. M. Sarro, G. Clementini, T. Muraveva y A. Garofalo. "Hierarchical Bayesian model to inferPL(Z)relations usingGaiaparallaxes". Astronomy & Astrophysics 623 (marzo de 2019): A156. http://dx.doi.org/10.1051/0004-6361/201832945.
Texto completoLiu, Qinghua, Yuanxin He, Kai Ding y Quanmin Xie. "Complex Multisnapshot Sparse Bayesian Learning for Offgrid DOA Estimation". International Journal of Antennas and Propagation 2022 (28 de febrero de 2022): 1–12. http://dx.doi.org/10.1155/2022/4500243.
Texto completoMuller, Peter y Gary L. Rosner. "A Bayesian Population Model With Hierarchical Mixture Priors Applied to Blood Count Data". Journal of the American Statistical Association 92, n.º 440 (diciembre de 1997): 1279. http://dx.doi.org/10.2307/2965398.
Texto completoYu, Rongjie y Mohamed Abdel-Aty. "Investigating different approaches to develop informative priors in hierarchical Bayesian safety performance functions". Accident Analysis & Prevention 56 (julio de 2013): 51–58. http://dx.doi.org/10.1016/j.aap.2013.03.023.
Texto completoYang, Jie y Yixin Yang. "Sparse Bayesian DOA Estimation Using Hierarchical Synthesis Lasso Priors for Off-Grid Signals". IEEE Transactions on Signal Processing 68 (2020): 872–84. http://dx.doi.org/10.1109/tsp.2020.2967665.
Texto completoMüller, Peter y Gary L. Rosner. "A Bayesian Population Model with Hierarchical Mixture Priors Applied to Blood Count Data". Journal of the American Statistical Association 92, n.º 440 (diciembre de 1997): 1279–92. http://dx.doi.org/10.1080/01621459.1997.10473649.
Texto completoLeoni, Leonardo, Farshad BahooToroody, Saeed Khalaj, Filippo De Carlo, Ahmad BahooToroody y Mohammad Mahdi Abaei. "Bayesian Estimation for Reliability Engineering: Addressing the Influence of Prior Choice". International Journal of Environmental Research and Public Health 18, n.º 7 (24 de marzo de 2021): 3349. http://dx.doi.org/10.3390/ijerph18073349.
Texto completoMillar, Russell B. y Wayne S. Stewart. "Automatic calculation of the sensitivity of Bayesian fisheries models to informative priors". Canadian Journal of Fisheries and Aquatic Sciences 62, n.º 5 (1 de mayo de 2005): 1028–36. http://dx.doi.org/10.1139/f04-240.
Texto completoZhang, Li y Ying-Ying Zhang. "The Bayesian Posterior and Marginal Densities of the Hierarchical Gamma–Gamma, Gamma–Inverse Gamma, Inverse Gamma–Gamma, and Inverse Gamma–Inverse Gamma Models with Conjugate Priors". Mathematics 10, n.º 21 (28 de octubre de 2022): 4005. http://dx.doi.org/10.3390/math10214005.
Texto completoPibouleau, Leslie y Sylvie Chevret. "BAYESIAN HIERARCHICAL META-ANALYSIS MODEL FOR MEDICAL DEVICE EVALUATION: APPLICATION TO INTRACRANIAL STENTS". International Journal of Technology Assessment in Health Care 29, n.º 2 (abril de 2013): 123–30. http://dx.doi.org/10.1017/s0266462313000093.
Texto completoThorson, James T. y Jim Berkson. "Multispecies estimation of Bayesian priors for catchability trends and density dependence in the US Gulf of Mexico". Canadian Journal of Fisheries and Aquatic Sciences 67, n.º 6 (junio de 2010): 936–54. http://dx.doi.org/10.1139/f10-040.
Texto completoMontano, Diego. "Multivariate hierarchical Bayesian models and choice of priors in the analysis of survey data". Journal of Applied Statistics 44, n.º 16 (20 de diciembre de 2016): 3011–32. http://dx.doi.org/10.1080/02664763.2016.1267120.
Texto completoDunson, David B. y Kenneth R. Tindall. "Bayesian Analysis of Mutational Spectra". Genetics 156, n.º 3 (1 de noviembre de 2000): 1411–18. http://dx.doi.org/10.1093/genetics/156.3.1411.
Texto completoPacifico, Antonio. "Structural Compressed Panel VAR with Stochastic Volatility: A Robust Bayesian Model Averaging Procedure". Econometrics 10, n.º 3 (12 de julio de 2022): 28. http://dx.doi.org/10.3390/econometrics10030028.
Texto completoCunanan, Kristen M., Alexia Iasonos, Ronglai Shen y Mithat Gönen. "Variance prior specification for a basket trial design using Bayesian hierarchical modeling". Clinical Trials 16, n.º 2 (7 de diciembre de 2018): 142–53. http://dx.doi.org/10.1177/1740774518812779.
Texto completoMangipudi, Abhi, Eric Thrane y Csaba Balazs. "Bayesian WIMP detection with the Cherenkov Telescope Array". Journal of Cosmology and Astroparticle Physics 2022, n.º 11 (1 de noviembre de 2022): 010. http://dx.doi.org/10.1088/1475-7516/2022/11/010.
Texto completoAsmarian, Naeimehossadat, Seyyed Mohammad Taghi Ayatollahi, Zahra Sharafi y Najaf Zare. "Bayesian Spatial Joint Model for Disease Mapping of Zero-Inflated Data with R-INLA: A Simulation Study and an Application to Male Breast Cancer in Iran". International Journal of Environmental Research and Public Health 16, n.º 22 (13 de noviembre de 2019): 4460. http://dx.doi.org/10.3390/ijerph16224460.
Texto completoYang, Haoyuan, Xiuqin Su, Jing Wu y Songmao Chen. "Non-blind image blur removal method based on a Bayesian hierarchical model with hyperparameter priors". Optik 204 (febrero de 2020): 164178. http://dx.doi.org/10.1016/j.ijleo.2020.164178.
Texto completovan Erp, Bart, Wouter W. L. Nuijten, Thijs van de Laar y Bert de Vries. "Automating Model Comparison in Factor Graphs". Entropy 25, n.º 8 (29 de julio de 2023): 1138. http://dx.doi.org/10.3390/e25081138.
Texto completoSilva, Fabyano Fonseca e., Thelma Sáfadi, Joel Augusto Muniz, Guilherme Jordão Magalhães Rosa, Luiz Henrique de Aquino, Gerson Barreto Mourão y Carlos Henrique Osório Silva. "Bayesian analysis of autoregressive panel data model: application in genetic evaluation of beef cattle". Scientia Agricola 68, n.º 2 (abril de 2011): 237–45. http://dx.doi.org/10.1590/s0103-90162011000200015.
Texto completoHassan, Masoud M. "A Fully Bayesian Logistic Regression Model for Classification of ZADA Diabetes Dataset". Science Journal of University of Zakho 8, n.º 3 (30 de septiembre de 2020): 105–11. http://dx.doi.org/10.25271/sjuoz.2020.8.3.707.
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