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Статті в журналах з теми "Hierarchical Bayesian Priors"
Song, Chengyuan, Dongchu Sun, Kun Fan, and Rongji Mu. "Posterior Propriety of an Objective Prior in a 4-Level Normal Hierarchical Model." Mathematical Problems in Engineering 2020 (February 14, 2020): 1–10. http://dx.doi.org/10.1155/2020/8236934.
Повний текст джерелаJiao, Yan, Christopher Hayes, and Enric Cortés. "Hierarchical Bayesian approach for population dynamics modelling of fish complexes without species-specific data." ICES Journal of Marine Science 66, no. 2 (September 26, 2008): 367–77. http://dx.doi.org/10.1093/icesjms/fsn162.
Повний текст джерелаZhang, Hai, Puyu Wang, Qing Dong, and Pu Wang. "Sparse Bayesian linear regression using generalized normal priors." International Journal of Wavelets, Multiresolution and Information Processing 15, no. 03 (February 16, 2017): 1750021. http://dx.doi.org/10.1142/s0219691317500217.
Повний текст джерелаChan, Joshua C. C. "Minnesota-type adaptive hierarchical priors for large Bayesian VARs." International Journal of Forecasting 37, no. 3 (July 2021): 1212–26. http://dx.doi.org/10.1016/j.ijforecast.2021.01.002.
Повний текст джерелаScarpa, Bruno, and David B. Dunson. "Bayesian Hierarchical Functional Data Analysis Via Contaminated Informative Priors." Biometrics 65, no. 3 (January 23, 2009): 772–80. http://dx.doi.org/10.1111/j.1541-0420.2008.01163.x.
Повний текст джерелаGu, Xiaojing, Henry Leung, and 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.
Повний текст джерелаLiang, Xinya, Akihito Kamata, and Ji Li. "Hierarchical Bayes Approach to Estimate the Treatment Effect for Randomized Controlled Trials." Educational and Psychological Measurement 80, no. 6 (March 16, 2020): 1090–114. http://dx.doi.org/10.1177/0013164420909885.
Повний текст джерелаNam, Hyun Woo. "Modeling hyper-priors for Bayesian IRT equating: Fixed hyper-parameters or Hierarchical hyper-priors." Korean Society for Educational Evaluation 32, no. 4 (December 30, 2019): 777–95. http://dx.doi.org/10.31158/jeev.2019.32.4.777.
Повний текст джерелаWang, Mengxi, Qingwang Liu, Liyong Fu, Guangxing Wang, and Xiongqing Zhang. "Airborne LIDAR-Derived Aboveground Biomass Estimates Using a Hierarchical Bayesian Approach." Remote Sensing 11, no. 9 (May 3, 2019): 1050. http://dx.doi.org/10.3390/rs11091050.
Повний текст джерелаKrishnan, Ranganath, Mahesh Subedar, and Omesh Tickoo. "Specifying Weight Priors in Bayesian Deep Neural Networks with Empirical Bayes." Proceedings of the AAAI Conference on Artificial Intelligence 34, no. 04 (April 3, 2020): 4477–84. http://dx.doi.org/10.1609/aaai.v34i04.5875.
Повний текст джерелаДисертації з теми "Hierarchical Bayesian Priors"
Israeli, Yeshayahu D. "Whitney Element Based Priors for Hierarchical Bayesian Models." Case Western Reserve University School of Graduate Studies / OhioLINK, 2021. http://rave.ohiolink.edu/etdc/view?acc_num=case1621866603265673.
Повний текст джерелаGeorge, Robert Emerson. "The role of hierarchical priors in robust Bayesian inference /." The Ohio State University, 1993. http://rave.ohiolink.edu/etdc/view?acc_num=osu1487847761308082.
Повний текст джерелаSonksen, Michael David. "Bayesian Model Diagnostics and Reference Priors for Constrained Rate Models of Count Data." The Ohio State University, 2011. http://rave.ohiolink.edu/etdc/view?acc_num=osu1312909127.
Повний текст джерелаPfarrhofer, Michael, and Philipp Piribauer. "Flexible shrinkage in high-dimensional Bayesian spatial autoregressive models." Elsevier, 2019. http://epub.wu.ac.at/6839/1/1805.10822.pdf.
Повний текст джерелаBitto, Angela, and Sylvia Frühwirth-Schnatter. "Achieving shrinkage in a time-varying parameter model framework." Elsevier, 2019. http://dx.doi.org/10.1016/j.jeconom.2018.11.006.
Повний текст джерелаFeldkircher, Martin, Florian Huber, and Gregor Kastner. "Sophisticated and small versus simple and sizeable: When does it pay off to introduce drifting coefficients in Bayesian VARs?" WU Vienna University of Economics and Business, 2018. http://epub.wu.ac.at/6021/1/wp260.pdf.
Повний текст джерелаSeries: Department of Economics Working Paper Series
Pirathiban, Ramethaa. "Improving species distribution modelling: Selecting absences and eliciting variable usefulness for input into standard algorithms or a Bayesian hierarchical meta-factor model." Thesis, Queensland University of Technology, 2019. https://eprints.qut.edu.au/134401/1/Ramethaa_Pirathiban_Thesis.pdf.
Повний текст джерелаManandhar, Binod. "Bayesian Models for the Analyzes of Noisy Responses From Small Areas: An Application to Poverty Estimation." Digital WPI, 2017. https://digitalcommons.wpi.edu/etd-dissertations/188.
Повний текст джерелаEgidi, Leonardo. "Developments in Bayesian Hierarchical Models and Prior Specification with Application to Analysis of Soccer Data." Doctoral thesis, Università degli studi di Padova, 2018. http://hdl.handle.net/11577/3427270.
Повний текст джерелаNegli ultimi anni la sfida per la specificazione di nuove distribuzioni a priori e per l’uso di complessi modelli gerarchici è diventata ancora più rilevante all’interno dell’inferenza Bayesiana. L’avvento delle tecniche Markov Chain Monte Carlo, insieme a nuovi linguaggi di programmazione probabilistici, ha esteso i confini del campo, sia in direzione teorica che applicata. Nella presente tesi ci dedichiamo a obiettivi teorici e applicati. Nella prima parte proponiamo una nuova classe di distribuzioni a priori che dipendono dai dati e che sono specificate tramite una mistura tra una a priori non informativa e una a priori informativa. La generica distribuzione appartenente a questa nuova classe fornisce meno informazione di una priori informativa e si candida a non dominare le conclusioni inferenziali quando la dimensione campionaria è piccola o moderata. Tale distribuzione `e idonea per scopi di robustezza, specialmente in caso di scorretta specificazione della distribuzione a priori informativa. Alcuni studi di simulazione all’interno di modelli coniugati mostrano che questa proposta può essere conveniente per ridurre gli errori quadratici medi e per migliorare la copertura frequentista. Inoltre, sotto condizioni non restrittive, questa classe di distribuzioni d`a luogo ad alcune altre interessanti proprietà teoriche. Nella seconda parte della tesi usiamo la classe dei modelli gerarchici Bayesiani per prevedere alcune grandezze relative al gioco del calcio ed estendiamo l’usuale modellazione per i goal includendo nel modello un’ulteriore informazione proveniente dalle case di scommesse. Strumenti per sondare a posteriori la bontà di adattamento del modello ai dati mettono in luce un’ottima aderenza del modello ai dati in possesso, una buona calibrazione dello stesso e suggeriscono, infine, la costruzione di efficienti strategie di scommesse per dati futuri.
Frühwirth-Schnatter, Sylvia, and Regina Tüchler. "Bayesian parsimonious covariance estimation for hierarchical linear mixed models." Institut für Statistik und Mathematik, WU Vienna University of Economics and Business, 2004. http://epub.wu.ac.at/774/1/document.pdf.
Повний текст джерелаSeries: Research Report Series / Department of Statistics and Mathematics
Книги з теми "Hierarchical Bayesian Priors"
Bera, Anil K. Estimation of systematic risk using Bayesian analysis with hierarchical and non-normal priors. [Urbana, Ill.]: College of Commerce and Business Administration, University of Illinois Urbana-Champaign, 1989.
Знайти повний текст джерелаKruschke, John K., and Wolf Vanpaemel. Bayesian Estimation in Hierarchical Models. Edited by Jerome R. Busemeyer, Zheng Wang, James T. Townsend, and Ami Eidels. Oxford University Press, 2015. http://dx.doi.org/10.1093/oxfordhb/9780199957996.013.13.
Повний текст джерелаButz, Martin V., and Esther F. Kutter. Top-Down Predictions Determine Perceptions. Oxford University Press, 2017. http://dx.doi.org/10.1093/acprof:oso/9780198739692.003.0009.
Повний текст джерелаЧастини книг з теми "Hierarchical Bayesian Priors"
Wang, Jian, and Miaomiao Zhang. "Bayesian Atlas Building with Hierarchical Priors for Subject-Specific Regularization." In Medical Image Computing and Computer Assisted Intervention – MICCAI 2021, 76–86. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-87202-1_8.
Повний текст джерелаAoki, Kohta, and Hiroshi Nagahashi. "Bayesian Image Segmentation Using MRF’s Combined with Hierarchical Prior Models." In Image Analysis, 65–74. Berlin, Heidelberg: Springer Berlin Heidelberg, 2005. http://dx.doi.org/10.1007/11499145_8.
Повний текст джерелаMohammad-Djafari, Ali. "Variational Bayesian Approximation for Linear Inverse Problems with a Hierarchical Prior Models." In Lecture Notes in Computer Science, 669–76. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-40020-9_74.
Повний текст джерелаCongdon, Peter D. "Time Structured Priors." In Bayesian Hierarchical Models, 165–211. Chapman and Hall/CRC, 2019. http://dx.doi.org/10.1201/9780429113352-5.
Повний текст джерелаCongdon, Peter D. "Regression Techniques Using Hierarchical Priors." In Bayesian Hierarchical Models, 253–315. Chapman and Hall/CRC, 2019. http://dx.doi.org/10.1201/9780429113352-7.
Повний текст джерела"Regression Techniques Using Hierarchical Priors." In Applied Bayesian Hierarchical Methods, 207–55. Chapman and Hall/CRC, 2010. http://dx.doi.org/10.1201/9781584887218-c5.
Повний текст джерелаCongdon, Peter D. "Factor Analysis, Structural Equation Models, and Multivariate Priors." In Bayesian Hierarchical Models, 339–403. Chapman and Hall/CRC, 2019. http://dx.doi.org/10.1201/9780429113352-9.
Повний текст джерела"Structured Priors Recognizing Similarity over Time and Space." In Applied Bayesian Hierarchical Methods, 141–205. Chapman and Hall/CRC, 2010. http://dx.doi.org/10.1201/9781584887218-c4.
Повний текст джерела"Multivariate Priors, with a Focus on Factor and Structural Equation Models." In Applied Bayesian Hierarchical Methods, 281–336. Chapman and Hall/CRC, 2010. http://dx.doi.org/10.1201/9781584887218-c7.
Повний текст джерелаBloetscher, Frederick. "Applications of Hierarchical Bayesian Methods to Answer Multilayer Questions with Limited Data." In Bayesian Inference [Working Title]. IntechOpen, 2022. http://dx.doi.org/10.5772/intechopen.104784.
Повний текст джерелаТези доповідей конференцій з теми "Hierarchical Bayesian Priors"
Wang, Zhen, and Chao Lan. "Towards a Hierarchical Bayesian Model of Multi-View Anomaly Detection." In Twenty-Ninth International Joint Conference on Artificial Intelligence and Seventeenth Pacific Rim International Conference on Artificial Intelligence {IJCAI-PRICAI-20}. California: International Joint Conferences on Artificial Intelligence Organization, 2020. http://dx.doi.org/10.24963/ijcai.2020/335.
Повний текст джерелаStahlhut, Carsten, Hagai T. Attias, Kensuke Sekihara, David Wipf, Lars K. Hansen, and Srikantan S. Nagarajan. "A hierarchical Bayesian M/EEG imagingmethod correcting for incomplete spatio-temporal priors." In 2013 IEEE 10th International Symposium on Biomedical Imaging (ISBI 2013). IEEE, 2013. http://dx.doi.org/10.1109/isbi.2013.6556536.
Повний текст джерелаGiri, Ritwik, and Bhaskar D. Rao. "Hierarchical Bayesian formulation of Sparse Signal Recovery algorithms using scale mixture priors." In 2015 49th Asilomar Conference on Signals, Systems and Computers. IEEE, 2015. http://dx.doi.org/10.1109/acssc.2015.7421083.
Повний текст джерелаLesouple, J., J. Y. Tourneret, M. Sahmoudi, F. Barbiero, and F. Faurie. "Multipath Mitigation in Global Navigation Satellite Systems Using a Bayesian Hierarchical Model With Bernoulli Laplacian Priors." In 2018 IEEE Statistical Signal Processing Workshop (SSP). IEEE, 2018. http://dx.doi.org/10.1109/ssp.2018.8450818.
Повний текст джерелаAbaei, Mohammad Mahdi, Nu Rhahida Arini, Philipp R. Thies, and Johanning Lars. "Failure Estimation of Offshore Renewable Energy Devices Based on Hierarchical Bayesian Approach." In ASME 2019 38th International Conference on Ocean, Offshore and Arctic Engineering. American Society of Mechanical Engineers, 2019. http://dx.doi.org/10.1115/omae2019-95099.
Повний текст джерелаLopez-Martinez, Daniel, Ke Peng, Arielle Lee, David Borsook, and Rosalind Picard. "Pain Detection with fNIRS-Measured Brain Signals: A Personalized Machine Learning Approach Using the Wavelet Transform and Bayesian Hierarchical Modeling with Dirichlet Process Priors." In 2019 8th International Conference on Affective Computing and Intelligent Interaction Workshops and Demos (ACIIW). IEEE, 2019. http://dx.doi.org/10.1109/aciiw.2019.8925076.
Повний текст джерелаLiu, Yuhang, Wenyong Dong, Lei Zhang, Dong Gong, and Qinfeng Shi. "Variational Bayesian Dropout With a Hierarchical Prior." In 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). IEEE, 2019. http://dx.doi.org/10.1109/cvpr.2019.00729.
Повний текст джерелаFeng, Wei, Qiaofeng Li, and Qiuhai Lu. "A Hierarchical Bayesian Method for Time Domain Structure Damage Detection." In ASME 2019 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. American Society of Mechanical Engineers, 2019. http://dx.doi.org/10.1115/detc2019-97026.
Повний текст джерелаWang, Li, Ali Mohammad-Djafari, and Nicolas Gac. "Bayesian X-ray computed tomography using a three-level hierarchical prior model." In BAYESIAN INFERENCE AND MAXIMUM ENTROPY METHODS IN SCIENCE AND ENGINEERING: Proceedings of the 36th International Workshop on Bayesian Inference and Maximum Entropy Methods in Science and Engineering (MaxEnt 2016). Author(s), 2017. http://dx.doi.org/10.1063/1.4985361.
Повний текст джерелаPedersen, Niels Lovmand, Carles Navarro Manchon, Dmitriy Shutin, and Bernard Henri Fleury. "Application of Bayesian hierarchical prior modeling to sparse channel estimation." In ICC 2012 - 2012 IEEE International Conference on Communications. IEEE, 2012. http://dx.doi.org/10.1109/icc.2012.6363847.
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