Literatura académica sobre el tema "Bayes's theorem"
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Artículos de revistas sobre el tema "Bayes's theorem"
Utyuganova, V. V., V. S. Serdyuk y A. I. Fomin. "Prediction and Assessment of the Occupational Risks in the Mining Industry Using the Bayess Theorem". Occupational Safety in Industry, n.º 1 (enero de 2021): 79–87. http://dx.doi.org/10.24000/0409-2961-2021-1-79-87.
Texto completoEells, E. "Review: Bayes's Theorem". Mind 113, n.º 451 (1 de julio de 2004): 591–96. http://dx.doi.org/10.1093/mind/113.451.591.
Texto completoMcGrew, T. "Two cheers for Bayes's theorem". Analysis 55, n.º 2 (1 de abril de 1995): 123–25. http://dx.doi.org/10.1093/analys/55.2.123.
Texto completoCadwalladerOlsker, Todd D. "When 95% Accurate Isn't: Exploring Bayes's Theorem". Mathematics Teacher 104, n.º 6 (febrero de 2011): 426–31. http://dx.doi.org/10.5951/mt.104.6.0426.
Texto completoCadwalladerOlsker, Todd D. "When 95% Accurate Isn't: Exploring Bayes's Theorem". Mathematics Teacher 104, n.º 6 (febrero de 2011): 426–31. http://dx.doi.org/10.5951/mt.104.6.0426.
Texto completoZellner, Arnold. "Optimal Information Processing and Bayes's Theorem". American Statistician 42, n.º 4 (noviembre de 1988): 278. http://dx.doi.org/10.2307/2685143.
Texto completoZellner, Arnold. "Optimal Information Processing and Bayes's Theorem". American Statistician 42, n.º 4 (noviembre de 1988): 278–80. http://dx.doi.org/10.1080/00031305.1988.10475585.
Texto completoJaynes, E. T. "[Optimal Information Processing and Bayes's Theorem]: Comment". American Statistician 42, n.º 4 (noviembre de 1988): 280. http://dx.doi.org/10.2307/2685144.
Texto completoHill, Bruce M. "[Optimal Information Processing and Bayes's Theorem]: Comment". American Statistician 42, n.º 4 (noviembre de 1988): 281. http://dx.doi.org/10.2307/2685145.
Texto completoZellner, Arnold. "[Optimal Information Processing and Bayes's Theorem]: Reply". American Statistician 42, n.º 4 (noviembre de 1988): 283. http://dx.doi.org/10.2307/2685148.
Texto completoTesis sobre el tema "Bayes's theorem"
Portugal, Agnaldo Cuoco. "Theism, Bayes's theorem and religious experience : an examination of Richard Swinburnes's religious epistemology". Thesis, King's College London (University of London), 2003. https://kclpure.kcl.ac.uk/portal/en/theses/theism-bayess-theorem-and-religious-experience--an-examination-of-richard-swinburness-religious-epistemology(f6ab0fd9-9277-41d7-9997-ecad803c54ae).html.
Texto completoRogers, David M. "Using Bayes' theorem for free energy calculations". Cincinnati, Ohio : University of Cincinnati, 2009. http://rave.ohiolink.edu/etdc/view.cgi?acc_num=ucin1251832030.
Texto completoAdvisor: Thomas L. Beck. Title from electronic thesis title page (viewed Jan. 21, 2010). Keywords: Bayes; probability; statistical mechanics; free energy. Includes abstract. Includes bibliographical references.
Jones, Martin K. "Bayes' Theorem and positive confirmation : an experimental economic analysis". Thesis, University of East Anglia, 1996. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.300072.
Texto completoFletcher, Douglas. "Generalized Empirical Bayes: Theory, Methodology, and Applications". Diss., Temple University Libraries, 2019. http://cdm16002.contentdm.oclc.org/cdm/ref/collection/p245801coll10/id/546485.
Texto completoPh.D.
The two key issues of modern Bayesian statistics are: (i) establishing a principled approach for \textit{distilling} a statistical prior distribution that is \textit{consistent} with the given data from an initial believable scientific prior; and (ii) development of a \textit{consolidated} Bayes-frequentist data analysis workflow that is more effective than either of the two separately. In this thesis, we propose generalized empirical Bayes as a new framework for exploring these fundamental questions along with a wide range of applications spanning fields as diverse as clinical trials, metrology, insurance, medicine, and ecology. Our research marks a significant step towards bridging the ``gap'' between Bayesian and frequentist schools of thought that has plagued statisticians for over 250 years. Chapters 1 and 2---based on \cite{mukhopadhyay2018generalized}---introduces the core theory and methods of our proposed generalized empirical Bayes (gEB) framework that solves a long-standing puzzle of modern Bayes, originally posed by Herbert Robbins (1980). One of the main contributions of this research is to introduce and study a new class of nonparametric priors ${\rm DS}(G, m)$ that allows exploratory Bayesian modeling. However, at a practical level, major practical advantages of our proposal are: (i) computational ease (it does not require Markov chain Monte Carlo (MCMC), variational methods, or any other sophisticated computational techniques); (ii) simplicity and interpretability of the underlying theoretical framework which is general enough to include almost all commonly encountered models; and (iii) easy integration with mainframe Bayesian analysis that makes it readily applicable to a wide range of problems. Connections with other Bayesian cultures are also presented in the chapter. Chapter 3 deals with the topic of measurement uncertainty from a new angle by introducing the foundation of nonparametric meta-analysis. We have applied the proposed methodology to real data examples from astronomy, physics, and medical disciplines. Chapter 4 discusses some further extensions and application of our theory to distributed big data modeling and the missing species problem. The dissertation concludes by highlighting two important areas of future work: a full Bayesian implementation workflow and potential applications in cybersecurity.
Temple University--Theses
Conlon, Erin Marie. "Estimation and flexible correlation structures in spatial hierarchical models of disease mapping /". Diss., ON-CAMPUS Access For University of Minnesota, Twin Cities Click on "Connect to Digital Dissertations", 1999. http://www.lib.umn.edu/articles/proquest.phtml.
Texto completoChadwick, Thomas Jonathan. "A general Bayes theory of nested model comparisons". Thesis, University of Newcastle Upon Tyne, 2002. http://hdl.handle.net/10443/641.
Texto completoZhang, Shunpu. "Some contributions to empirical Bayes theory and functional estimation". Thesis, National Library of Canada = Bibliothèque nationale du Canada, 1997. http://www.collectionscanada.ca/obj/s4/f2/dsk3/ftp04/nq23100.pdf.
Texto completoYang, Ying. "Discretization for Naive-Bayes learning". Monash University, School of Computer Science and Software Engineering, 2003. http://arrow.monash.edu.au/hdl/1959.1/9393.
Texto completoLiu, Ka-yee. "Bayes and empirical Bayes estimation for the panel threshold autoregressive model and non-Gaussian time series". Click to view the E-thesis via HKUTO, 2005. http://sunzi.lib.hku.hk/hkuto/record/B30706166.
Texto completoLiu, Ka-yee y 廖家怡. "Bayes and empirical Bayes estimation for the panel threshold autoregressive model and non-Gaussian time series". Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 2005. http://hub.hku.hk/bib/B30706166.
Texto completoLibros sobre el tema "Bayes's theorem"
Richard, Swinburne y British Academy, eds. Bayes's theorem. Oxford: Published for The British Academy by Oxford University Press, 2002.
Buscar texto completoProving history: Bayes's theorem and the quest for the historical Jesus. Amherst, N.Y: Prometheus Books, 2012.
Buscar texto completoKuo, Lynn. Bayesian computations in survival models via the Gibbs sampler. Monterey, Calif: Naval Postgraduate School, 1991.
Buscar texto completoKucsma, András I. Bidding for contract games: Applying game theory to analyze first price sealed bid auctions. Monterey, Calif: Naval Postgraduate School, 1997.
Buscar texto completoGaver, Donald Paul. Regression analysis of hierarchical Poisson-like event rate data: Superpopulation model effect on predictions. Monterey, Calif: Naval Postgraduate School, 1990.
Buscar texto completoERIC Clearinghouse on Assessment and Evaluation., ed. Bayes' theorem: An old tool applicable to today's classroom measurement needs. [College Park, MD: ERIC Clearinghouse on Assessment and Evaluation, University of Maryland, 2000.
Buscar texto completoCarlin, Bradley P. Bayes and empirical Bayes methods for data analysis. Boca Raton: Chapman & Hall/CRC, 1998.
Buscar texto completoCarlin, Bradley P. Bayes and Empirical Bayes methods for data analysis. 2a ed. Boca Raton: Chapman & Hall/CRC, 2000.
Buscar texto completo1944-, Louis Thomas A., ed. Bayes and empirical Bayes methods for data analysis. London: Chapman & Hall, 1996.
Buscar texto completoLarge-scale inference: Empirical Bayes methods for estimation, testing, and prediction. Cambridge: Cambridge University Press, 2010.
Buscar texto completoCapítulos de libros sobre el tema "Bayes's theorem"
Modis, Konstantinos. "Bayes’s Theorem". En Encyclopedia of Mathematical Geosciences, 1–4. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-26050-7_440-1.
Texto completoModis, Konstantinos. "Bayes’s Theorem". En Encyclopedia of Mathematical Geosciences, 61–65. Cham: Springer International Publishing, 2023. http://dx.doi.org/10.1007/978-3-030-85040-1_440.
Texto completoO’Hagan, Anthony. "Bayes’ theorem". En Probability, 45–61. Dordrecht: Springer Netherlands, 1988. http://dx.doi.org/10.1007/978-94-009-1211-3_3.
Texto completoHarney, Hanns Ludwig. "Bayes’ Theorem". En Bayesian Inference, 11–25. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-41644-1_2.
Texto completoPetroianu, Georg y Peter Michael Osswald. "Bayes-Theorem". En Anästhesie in Frage und Antwort, 31–32. Berlin, Heidelberg: Springer Berlin Heidelberg, 2000. http://dx.doi.org/10.1007/978-3-662-05715-5_11.
Texto completoHarney, Hanns L. "Bayes’ Theorem". En Bayesian Inference, 8–18. Berlin, Heidelberg: Springer Berlin Heidelberg, 2003. http://dx.doi.org/10.1007/978-3-662-06006-3_2.
Texto completoHoang, Lê Nguyên. "Bayes’ Theorem". En The Equation of Knowledge, 17–32. Boca Raton : C&H/CRC Press, 2020. | Translation of: La formule du savoir : une philosophie unifiée du savoir fondée sur le théorème de Bayes: Chapman and Hall/CRC, 2020. http://dx.doi.org/10.1201/9780367855307-2.
Texto completoKoch, Karl-Rudolf. "Bayes’ Theorem". En Bayesian Inference with Geodetic Applications, 4–8. Berlin, Heidelberg: Springer Berlin Heidelberg, 1990. http://dx.doi.org/10.1007/bfb0048702.
Texto completoKadane, Joseph B. "Bayes’ Theorem". En International Encyclopedia of Statistical Science, 89–90. Berlin, Heidelberg: Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-04898-2_141.
Texto completoGooch, Jan W. "Bayes’ Theorem". En Encyclopedic Dictionary of Polymers, 970. New York, NY: Springer New York, 2011. http://dx.doi.org/10.1007/978-1-4419-6247-8_15157.
Texto completoActas de conferencias sobre el tema "Bayes's theorem"
Dezert, Jean, Albena Tchamova y Deqiang Han. "Total Belief Theorem and Generalized Bayes' Theorem". En 2018 International Conference on Information Fusion (FUSION). IEEE, 2018. http://dx.doi.org/10.23919/icif.2018.8455351.
Texto completoPrice, Harold J. "Uninformative priors for Bayes’ theorem". En BAYESIAN INFERENCE AND MAXIMUM ENTROPY METHODS IN SCIENCE AND ENGINEERING. AIP, 2002. http://dx.doi.org/10.1063/1.1477060.
Texto completoBallesteros-Pérez, Pablo, Mª Carmen González-Cruz y Daniel Mora-Melià. "EXPLAINING THE BAYES’ THEOREM GRAPHICALLY". En 12th International Technology, Education and Development Conference. IATED, 2018. http://dx.doi.org/10.21125/inted.2018.0028.
Texto completoJosang, Audun. "Generalising Bayes' theorem in subjective logic". En 2016 IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems (MFI). IEEE, 2016. http://dx.doi.org/10.1109/mfi.2016.7849531.
Texto completoKosko, Bart. "Bayes Theorem Extends to Overlapping Hypotheses". En 2019 International Conference on Computational Science and Computational Intelligence (CSCI). IEEE, 2019. http://dx.doi.org/10.1109/csci49370.2019.00106.
Texto completoQu, Guangzhi, Hui Zhang y Craig T. Hartrick. "Multi-label classification with Bayes' theorem". En 2011 4th International Conference on Biomedical Engineering and Informatics (BMEI). IEEE, 2011. http://dx.doi.org/10.1109/bmei.2011.6098780.
Texto completoXiao, Mi, Qiangzhuang Yao, Liang Gao, Haihong Xiong y Fengxiang Wang. "Metamodel Uncertainty Quantification by Using Bayes’ Theorem". En ASME 2015 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. American Society of Mechanical Engineers, 2015. http://dx.doi.org/10.1115/detc2015-46746.
Texto completoLiu, Hongze, Zhengjiang Liu, Xin Wang y Yao Cai. "Bayes' Theorem based maritime safety information classifier". En 2018 Chinese Control And Decision Conference (CCDC). IEEE, 2018. http://dx.doi.org/10.1109/ccdc.2018.8407588.
Texto completoLi, Jiandun, Dingyu Yang y Chunlei Ji. "Mine weighted network motifs via Bayes' theorem". En 2017 4th International Conference on Systems and Informatics (ICSAI). IEEE, 2017. http://dx.doi.org/10.1109/icsai.2017.8248334.
Texto completoDezert, Jean, Albena Tchamova, Deqiang Han y Thanuka Wickramarathne. "A Simplified Formulation of Generalized Bayes' Theorem". En 2019 22th International Conference on Information Fusion (FUSION). IEEE, 2019. http://dx.doi.org/10.23919/fusion43075.2019.9011357.
Texto completoInformes sobre el tema "Bayes's theorem"
Smith, A. F. y A. E. Gelfand. Bayes Theorem from a Sampling-Resampling Perspective. Fort Belvoir, VA: Defense Technical Information Center, julio de 1991. http://dx.doi.org/10.21236/ada239515.
Texto completoSmith, Donald L., Denise Neudecker y Roberto Capote Noy. Investigation of the Effects of Probability Density Function Kurtosis on Evaluated Data Results. IAEA Nuclear Data Section, mayo de 2018. http://dx.doi.org/10.61092/iaea.yxma-3y50.
Texto completoSmith, Donald L., Denise Neudecker y Roberto Capote Noy. Investigation of the Effects of Probability Density Function Kurtosis on Evaluated Data Results. IAEA Nuclear Data Section, mayo de 2020. http://dx.doi.org/10.61092/iaea.nqsh-f02d.
Texto completoSmith, D. L., D. Neudecker y R. Capote Noy. Investigation of the Effects of Probability Density Function Kurtosis on Evaluated Data Results. IAEA Nuclear Data Section, mayo de 2020. http://dx.doi.org/10.61092/iaea.3ar5-xmp8.
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