Relevant bibliographies by topics / Bayesian analysis

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  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Bayesian analysis'

Author: Grafiati
Published: 4 June 2021
Last updated: 25 July 2025

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Journal articles on the topic "Bayesian analysis"

1

Grossman, J., and M. K. Parmar. "Bayesian analysis." Journal of Epidemiology & Community Health 53, no. 10 (1999): 652b—653b. http://dx.doi.org/10.1136/jech.53.10.652b.

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Grunkemeier, Gary L., and Nicola Payne. "Bayesian analysis." Annals of Thoracic Surgery 74, no. 6 (2002): 1901–8. http://dx.doi.org/10.1016/s0003-4975(02)04535-6.

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MacKinnon, Douglas, and Martin Pavlovič. "A Bayesian analysis of hop price fluctuations." Agricultural Economics (Zemědělská ekonomika) 66, No. 12 (2020): 519–26. http://dx.doi.org/10.17221/239/2020-agricecon.

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This paper quantifies the correlation between U.S. season average prices for hops with U.S. hop stocks and U.S. hop hectarage. The Hop Equilibrium Ratio, a measure of the supply/demand relationship for U.S. hops, was introduced. Through the Bayesian inference method, the authors used these data to calculate the effect an incremental change to one metric had on the probability of directional changes of future U.S. season average prices (SAP). Between 2010 and 2020, the dominance of proprietary varieties created unprecedented cartel-like powers offering opportunities for supply- and price-manage
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Forbes, Florence, and Adrian E. Raftery. "Bayesian Morphology: Fast Unsupervised Bayesian Image Analysis." Journal of the American Statistical Association 94, no. 446 (1999): 555–68. http://dx.doi.org/10.1080/01621459.1999.10474150.

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Brooks, Stephen, A. Gelman, J. B. Carlin, H. S. Stern, and D. B. Rubin. "Bayesian Data Analysis." Statistician 45, no. 2 (1996): 266. http://dx.doi.org/10.2307/2988417.

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Halloran, M. Elizabeth, Andrew Gelman, John B. Carlin, et al. "Bayesian Data Analysis." Journal of the American Statistical Association 92, no. 440 (1997): 1640. http://dx.doi.org/10.2307/2965436.

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Dixon, Dennis O., and Richard Simon. "Bayesian Subset Analysis." Biometrics 47, no. 3 (1991): 871. http://dx.doi.org/10.2307/2532645.

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Fearn, T., A. Gelman, J. B. Carlin, H. S. Stern, and D. B. Rubin. "Bayesian Data Analysis." Biometrics 52, no. 3 (1996): 1160. http://dx.doi.org/10.2307/2533081.

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Katti, S. K. "Robust Bayesian Analysis." Technometrics 43, no. 4 (2001): 493. http://dx.doi.org/10.1198/tech.2001.s53.

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Grego, John. "Bayesian Data Analysis." Technometrics 46, no. 3 (2004): 363–64. http://dx.doi.org/10.1198/tech.2004.s199.

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Dissertations / Theses on the topic "Bayesian analysis"

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Abrams, Keith Rowland. "Bayesian survival analysis." Thesis, University of Liverpool, 1992. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.316744.

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In cancer research the efficacy of a new treatment is often assessed by means of a clinical trial. In such trials the outcome measure of interest is usually time to death from entry into the study. The time to intermediate events may also be of interest, for example time to the spread of the disease to other organs (metastases). Thus, cancer clinical trials can be seen to generate multi-state data, in which patients may be in anyone of a finite number of states at a particular time. The classical analysis of data from cancer clinical trials uses a survival regression model. This type of model
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Yuan, Lin. "Bayesian nonparametric survival analysis." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 1997. http://www.collectionscanada.ca/obj/s4/f2/dsk3/ftp04/nq22253.pdf.

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Conti, Gabriella, Sylvia Frühwirth-Schnatter, James J. Heckman, and Rémi Piatek. "Bayesian exploratory factor analysis." Elsevier, 2014. http://dx.doi.org/10.1016/j.jeconom.2014.06.008.

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This paper develops and applies a Bayesian approach to Exploratory Factor Analysis that improves on ad hoc classical approaches. Our framework relies on dedicated factor models and simultaneously determines the number of factors, the allocation of each measurement to a unique factor, and the corresponding factor loadings. Classical identification criteria are applied and integrated into our Bayesian procedure to generate models that are stable and clearly interpretable. A Monte Carlo study confirms the validity of the approach. The method is used to produce interpretable low dimensional agg
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Fang, Qijun. "Hierarchical Bayesian Benchmark Dose Analysis." Diss., The University of Arizona, 2014. http://hdl.handle.net/10150/316773.

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An important objective in statistical risk assessment is estimation of minimum exposure levels, called Benchmark Doses (BMDs) that induce a pre-specified Benchmark Response (BMR) in a target population. Established inferential approaches for BMD analysis typically involve one-sided, frequentist confidence limits, leading in practice to what are called Benchmark Dose Lower Limits (BMDLs). Appeal to hierarchical Bayesian modeling and credible limits for building BMDLs is far less developed, however. Indeed, for the few existing forms of Bayesian BMDs, informative prior information is seldom inco
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Font, Valverde Martí. "Bayesian analysis of textual data." Doctoral thesis, Universitat Politècnica de Catalunya, 2016. http://hdl.handle.net/10803/384329.

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En esta tesis se desarrolla, siempre con el enfoque bayesiano en mente, una metodología estadística para el análisis de datos discretos en su aplicación en problemas estilometría. El análisis estadístico del estilo literario se ha utilizado para caracterizar el estilo de textos y autores, y para ayudar a resolver problemas de atribución de autoría. Estudios anteriores caracterizaron el estilo usando la longitud de las palabras, la longitud de las oraciones, y la proporción de los sustantivos, artículos, adjetivos o adverbios. Los datos que aquí se utilizan van, desde la frecuencia de frecuenci
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Husain, Syeda Tasmine. "Bayesian analysis of longitudinal models /." Internet access available to MUN users only, 2003. http://collections.mun.ca/u?/theses,163598.

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Brink, Anton Meredith. "Bayesian analysis of contingency tables." Thesis, Imperial College London, 1997. http://hdl.handle.net/10044/1/8948.

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LaBute, Gerard Joseph. "Pseudo-Bayesian response surface analysis." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 1998. http://www.collectionscanada.ca/obj/s4/f2/dsk2/tape15/PQDD_0001/MQ34971.pdf.

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Wright, Alan. "Bayesian pathway analysis in epigenetics." Thesis, University of Plymouth, 2013. http://hdl.handle.net/10026.1/1286.

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A typical gene expression data set consists of measurements of a large number of gene expressions, on a relatively small number of subjects, classified according to two or more outcomes, for example cancer or non-cancer. The identification of associations between gene expressions and outcome is a huge multiple testing problem. Early approaches to this problem involved the application of thousands of univariate tests with corrections for multiplicity. Over the past decade, numerous studies have demonstrated that analyzing gene expression data structured into predefined gene sets can produce ben
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O'Donovan, Daniel James. "Bayesian analysis of NMR data." Thesis, University of Cambridge, 2010. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.608789.

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Books on the topic "Bayesian analysis"

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O, Berger James, ed. Bayesian analysis. North-Holland, 1994.

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Insua, David Ríos, and Fabrizio Ruggeri, eds. Robust Bayesian Analysis. Springer New York, 2000. http://dx.doi.org/10.1007/978-1-4612-1306-2.

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Ibrahim, Joseph G., Ming-Hui Chen, and Debajyoti Sinha. Bayesian Survival Analysis. Springer New York, 2001. http://dx.doi.org/10.1007/978-1-4757-3447-8.

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A, Waller Ray, ed. Bayesian reliability analysis. R.E. Krieger Pub. Co., 1991.

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Andrew, Gelman, ed. Bayesian data analysis. Chapman & Hall/CRC, 2000.

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Andrew, Gelman, ed. Bayesian data analysis. 2nd ed. Chapman & Hall/CRC, 2004.

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1961-, Chen Ming-Hui, and Sinha Debajyoti, eds. Bayesian survival analysis. Springer, 2001.

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Andrew, Gelman, ed. Bayesian data analysis. Chapman & Hall, 1995.

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Müller, Peter, Fernando Andres Quintana, Alejandro Jara, and Tim Hanson. Bayesian Nonparametric Data Analysis. Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-18968-0.

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Mashhoudy, Houshang. Bayesian reliability growth analysis. typescript, 1985.

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Book chapters on the topic "Bayesian analysis"

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Basu, Sanjib. "Bayesian Robustness and Bayesian Nonparametrics." In Robust Bayesian Analysis. Springer New York, 2000. http://dx.doi.org/10.1007/978-1-4612-1306-2_12.

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Feit, Elea McDonnell, Fred M. Feinberg, and Peter J. Lenk. "Bayesian Analysis." In International Series in Quantitative Marketing. Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-53469-5_16.

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Ogino, Shuji, and Robert B. Wilson. "Bayesian Analysis." In Molecular Pathology in Clinical Practice: Genetics. Springer US, 2009. http://dx.doi.org/10.1007/978-0-387-87374-9_5.

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Wang, Sun-Chong. "Bayesian Analysis." In Interdisciplinary Computing in Java Programming. Springer US, 2003. http://dx.doi.org/10.1007/978-1-4615-0377-4_12.

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Berger, James O. "Bayesian Analysis." In Springer Series in Statistics. Springer New York, 1985. http://dx.doi.org/10.1007/978-1-4757-4286-2_4.

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Haughton, Dominique, and Jonathan Haughton. "Bayesian Analysis." In Living Standards Analytics. Springer New York, 2011. http://dx.doi.org/10.1007/978-1-4614-0385-2_7.

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Ogino, Shuji, and Robert B. Wilson. "Bayesian Analysis." In Molecular Pathology in Clinical Practice. Springer New York, 2007. http://dx.doi.org/10.1007/978-0-387-33227-7_5.

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Broemeling, Lyle D. "Bayesian Analysis." In Bayesian Analysis of Time Series. Chapman and Hall/CRC, 2019. http://dx.doi.org/10.1201/9780429488443-2.

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Shahbaba, Babak. "Bayesian Analysis." In Biostatistics with R. Springer New York, 2012. http://dx.doi.org/10.1007/978-1-4614-1302-8_13.

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Ravishanker, Nalini, Balaji Raman, and Refik Soyer. "Bayesian Analysis." In Dynamic Time Series Models using R-INLA. Chapman and Hall/CRC, 2022. http://dx.doi.org/10.1201/9781003134039-1.

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Conference papers on the topic "Bayesian analysis"

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Subbanna, Nagesh, Aaron Xavier S, D. Pooja, Kavinya Mahesh, and Krishna Khare. "Bayesian Network Based Sentiment Analysis of Political Statements." In 2025 4th International Conference on Sentiment Analysis and Deep Learning (ICSADL). IEEE, 2025. https://doi.org/10.1109/icsadl65848.2025.10933477.

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Tao, Dacheng, Jimeng Sun, Jialie Shen, et al. "Bayesian tensor analysis." In 2008 IEEE International Joint Conference on Neural Networks (IJCNN 2008 - Hong Kong). IEEE, 2008. http://dx.doi.org/10.1109/ijcnn.2008.4633981.

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DEMORTIER, LUC. "BAYESIAN REFERENCE ANALYSIS." In Proceedings of PHYSTAT05. PUBLISHED BY IMPERIAL COLLEGE PRESS AND DISTRIBUTED BY WORLD SCIENTIFIC PUBLISHING CO., 2006. http://dx.doi.org/10.1142/9781860948985_0003.

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Wheatland, Michael S. "Bayesian Data Analysis." In Proceedings of the 22nd Canberra International Physics Summer School. WORLD SCIENTIFIC, 2010. http://dx.doi.org/10.1142/9789814277327_0004.

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FITZGERALD, WJ. "BAYESIAN DATA ANALYSIS." In Sonar Signal Processing 1991. Institute of Acoustics, 2024. http://dx.doi.org/10.25144/21227.

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Aps, R., N. Sawano, S. Hamada, and M. Fetissov. "Bayesian inference in oil spill response management." In RISK ANALYSIS 2010. WIT Press, 2010. http://dx.doi.org/10.2495/risk100041.

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van Erp, N., and P. van Gelder. "Bayesian logistic regression analysis." In BAYESIAN INFERENCE AND MAXIMUM ENTROPY METHODS IN SCIENCE AND ENGINEERING: 32nd International Workshop on Bayesian Inference and Maximum Entropy Methods in Science and Engineering. AIP, 2013. http://dx.doi.org/10.1063/1.4819994.

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Ueda, Naonori. "Bayesian relational data analysis." In the 18th ACM SIGKDD international conference. ACM Press, 2012. http://dx.doi.org/10.1145/2339530.2339659.

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Dogandžić, Aleksandar. "Bayesian Defect Signal Analysis." In QUANTITATIVE NONDESTRUCTIVE EVALUATION. AIP, 2006. http://dx.doi.org/10.1063/1.2184584.

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Balázs, Csaba, Daniel Carter, George Alverson, Pran Nath, and Brent Nelson. "Bayesian analysis of NmSuGra." In SUSY09: 7th International Conference on Supersymmetry and the Unification of Fundamental Interactions. AIP, 2010. http://dx.doi.org/10.1063/1.3327638.

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Reports on the topic "Bayesian analysis"

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Piatek, Rémi, Gabriella Conti, James Heckman, and Sylvia Frühwirth-Schnatter. Bayesian exploratory factor analysis. Cemmap, 2014. http://dx.doi.org/10.1920/wp.cem.2014.3014.

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Nadiga, Balasubramanya T., and Daniel Livescu. Bayesian Analysis of RANS Models. Office of Scientific and Technical Information (OSTI), 2016. http://dx.doi.org/10.2172/1257091.

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Giacomini, Raffaella, Toru Kitagawa, and Matthew Read. Robust Bayesian Analysis for Econometrics. Federal Reserve Bank of Chicago, 2021. http://dx.doi.org/10.21033/wp-2021-11.

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Schmidt, D. M., J. S. George, and C. C. Wood. Bayesian analysis of MEG visual evoked responses. Office of Scientific and Technical Information (OSTI), 1999. http://dx.doi.org/10.2172/334231.

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Gelfand, Alan E., and Bani K. Mallick. Bayesian Analysis of Semiparametric Proportional Hazards Models. Defense Technical Information Center, 1994. http://dx.doi.org/10.21236/ada279394.

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Blei, David. Non-Parametric Bayesian Analysis of Heterogeneous Data. Defense Technical Information Center, 2013. http://dx.doi.org/10.21236/ada582116.

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Carlin, Bradley P., Alan E. Gelfand, and Adrian F. Smith. Hierarchical Bayesian Analysis of Change Point Problems. Defense Technical Information Center, 1990. http://dx.doi.org/10.21236/ada228179.

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Vang, Leng, Curtis Smith, and Steven Prescott. Implementation of a Bayesian Engine for Uncertainty Analysis. Office of Scientific and Technical Information (OSTI), 2014. http://dx.doi.org/10.2172/1166049.

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Kim, Chang-Jin, James Morley, and Jeremy M. Piger. A Bayesian Approach to Counterfactual Analysis of Structural Change. Federal Reserve Bank of St. Louis, 2004. http://dx.doi.org/10.20955/wp.2004.014.

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Goel, Prem K. Software for Bayesian Analysis: Current Status and Additional Needs. Defense Technical Information Center, 1987. http://dx.doi.org/10.21236/ada194780.

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