Letteratura scientifica selezionata sul tema "Bayes's theorem"
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Articoli di riviste sul tema "Bayes's theorem"
Utyuganova, V. V., V. S. Serdyuk e A. I. Fomin. "Prediction and Assessment of the Occupational Risks in the Mining Industry Using the Bayess Theorem". Occupational Safety in Industry, n. 1 (gennaio 2021): 79–87. http://dx.doi.org/10.24000/0409-2961-2021-1-79-87.
Testo completoEells, E. "Review: Bayes's Theorem". Mind 113, n. 451 (1 luglio 2004): 591–96. http://dx.doi.org/10.1093/mind/113.451.591.
Testo completoMcGrew, T. "Two cheers for Bayes's theorem". Analysis 55, n. 2 (1 aprile 1995): 123–25. http://dx.doi.org/10.1093/analys/55.2.123.
Testo completoCadwalladerOlsker, Todd D. "When 95% Accurate Isn't: Exploring Bayes's Theorem". Mathematics Teacher 104, n. 6 (febbraio 2011): 426–31. http://dx.doi.org/10.5951/mt.104.6.0426.
Testo completoCadwalladerOlsker, Todd D. "When 95% Accurate Isn't: Exploring Bayes's Theorem". Mathematics Teacher 104, n. 6 (febbraio 2011): 426–31. http://dx.doi.org/10.5951/mt.104.6.0426.
Testo completoZellner, Arnold. "Optimal Information Processing and Bayes's Theorem". American Statistician 42, n. 4 (novembre 1988): 278. http://dx.doi.org/10.2307/2685143.
Testo completoZellner, Arnold. "Optimal Information Processing and Bayes's Theorem". American Statistician 42, n. 4 (novembre 1988): 278–80. http://dx.doi.org/10.1080/00031305.1988.10475585.
Testo completoJaynes, E. T. "[Optimal Information Processing and Bayes's Theorem]: Comment". American Statistician 42, n. 4 (novembre 1988): 280. http://dx.doi.org/10.2307/2685144.
Testo completoHill, Bruce M. "[Optimal Information Processing and Bayes's Theorem]: Comment". American Statistician 42, n. 4 (novembre 1988): 281. http://dx.doi.org/10.2307/2685145.
Testo completoZellner, Arnold. "[Optimal Information Processing and Bayes's Theorem]: Reply". American Statistician 42, n. 4 (novembre 1988): 283. http://dx.doi.org/10.2307/2685148.
Testo completoTesi sul 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.
Testo 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.
Testo 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.
Testo 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.
Testo 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.
Testo completoChadwick, Thomas Jonathan. "A general Bayes theory of nested model comparisons". Thesis, University of Newcastle Upon Tyne, 2002. http://hdl.handle.net/10443/641.
Testo 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.
Testo 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.
Testo 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.
Testo completoLiu, Ka-yee, e 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.
Testo completoLibri sul tema "Bayes's theorem"
Richard, Swinburne, e British Academy, a cura di. Bayes's theorem. Oxford: Published for The British Academy by Oxford University Press, 2002.
Cerca il testo completoProving history: Bayes's theorem and the quest for the historical Jesus. Amherst, N.Y: Prometheus Books, 2012.
Cerca il testo completoKuo, Lynn. Bayesian computations in survival models via the Gibbs sampler. Monterey, Calif: Naval Postgraduate School, 1991.
Cerca il testo completoKucsma, András I. Bidding for contract games: Applying game theory to analyze first price sealed bid auctions. Monterey, Calif: Naval Postgraduate School, 1997.
Cerca il testo completoGaver, Donald Paul. Regression analysis of hierarchical Poisson-like event rate data: Superpopulation model effect on predictions. Monterey, Calif: Naval Postgraduate School, 1990.
Cerca il testo completoERIC Clearinghouse on Assessment and Evaluation., a cura di. 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.
Cerca il testo completoCarlin, Bradley P. Bayes and empirical Bayes methods for data analysis. Boca Raton: Chapman & Hall/CRC, 1998.
Cerca il testo completoCarlin, Bradley P. Bayes and Empirical Bayes methods for data analysis. 2a ed. Boca Raton: Chapman & Hall/CRC, 2000.
Cerca il testo completo1944-, Louis Thomas A., a cura di. Bayes and empirical Bayes methods for data analysis. London: Chapman & Hall, 1996.
Cerca il testo completoLarge-scale inference: Empirical Bayes methods for estimation, testing, and prediction. Cambridge: Cambridge University Press, 2010.
Cerca il testo completoCapitoli di libri sul tema "Bayes's theorem"
Modis, Konstantinos. "Bayes’s Theorem". In Encyclopedia of Mathematical Geosciences, 1–4. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-26050-7_440-1.
Testo completoModis, Konstantinos. "Bayes’s Theorem". In Encyclopedia of Mathematical Geosciences, 61–65. Cham: Springer International Publishing, 2023. http://dx.doi.org/10.1007/978-3-030-85040-1_440.
Testo completoO’Hagan, Anthony. "Bayes’ theorem". In Probability, 45–61. Dordrecht: Springer Netherlands, 1988. http://dx.doi.org/10.1007/978-94-009-1211-3_3.
Testo completoHarney, Hanns Ludwig. "Bayes’ Theorem". In Bayesian Inference, 11–25. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-41644-1_2.
Testo completoPetroianu, Georg, e Peter Michael Osswald. "Bayes-Theorem". In 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.
Testo completoHarney, Hanns L. "Bayes’ Theorem". In Bayesian Inference, 8–18. Berlin, Heidelberg: Springer Berlin Heidelberg, 2003. http://dx.doi.org/10.1007/978-3-662-06006-3_2.
Testo completoHoang, Lê Nguyên. "Bayes’ Theorem". In 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.
Testo completoKoch, Karl-Rudolf. "Bayes’ Theorem". In Bayesian Inference with Geodetic Applications, 4–8. Berlin, Heidelberg: Springer Berlin Heidelberg, 1990. http://dx.doi.org/10.1007/bfb0048702.
Testo completoKadane, Joseph B. "Bayes’ Theorem". In 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.
Testo completoGooch, Jan W. "Bayes’ Theorem". In Encyclopedic Dictionary of Polymers, 970. New York, NY: Springer New York, 2011. http://dx.doi.org/10.1007/978-1-4419-6247-8_15157.
Testo completoAtti di convegni sul tema "Bayes's theorem"
Dezert, Jean, Albena Tchamova e Deqiang Han. "Total Belief Theorem and Generalized Bayes' Theorem". In 2018 International Conference on Information Fusion (FUSION). IEEE, 2018. http://dx.doi.org/10.23919/icif.2018.8455351.
Testo completoPrice, Harold J. "Uninformative priors for Bayes’ theorem". In BAYESIAN INFERENCE AND MAXIMUM ENTROPY METHODS IN SCIENCE AND ENGINEERING. AIP, 2002. http://dx.doi.org/10.1063/1.1477060.
Testo completoBallesteros-Pérez, Pablo, Mª Carmen González-Cruz e Daniel Mora-Melià. "EXPLAINING THE BAYES’ THEOREM GRAPHICALLY". In 12th International Technology, Education and Development Conference. IATED, 2018. http://dx.doi.org/10.21125/inted.2018.0028.
Testo completoJosang, Audun. "Generalising Bayes' theorem in subjective logic". In 2016 IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems (MFI). IEEE, 2016. http://dx.doi.org/10.1109/mfi.2016.7849531.
Testo completoKosko, Bart. "Bayes Theorem Extends to Overlapping Hypotheses". In 2019 International Conference on Computational Science and Computational Intelligence (CSCI). IEEE, 2019. http://dx.doi.org/10.1109/csci49370.2019.00106.
Testo completoQu, Guangzhi, Hui Zhang e Craig T. Hartrick. "Multi-label classification with Bayes' theorem". In 2011 4th International Conference on Biomedical Engineering and Informatics (BMEI). IEEE, 2011. http://dx.doi.org/10.1109/bmei.2011.6098780.
Testo completoXiao, Mi, Qiangzhuang Yao, Liang Gao, Haihong Xiong e Fengxiang Wang. "Metamodel Uncertainty Quantification by Using Bayes’ Theorem". In 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.
Testo completoLiu, Hongze, Zhengjiang Liu, Xin Wang e Yao Cai. "Bayes' Theorem based maritime safety information classifier". In 2018 Chinese Control And Decision Conference (CCDC). IEEE, 2018. http://dx.doi.org/10.1109/ccdc.2018.8407588.
Testo completoLi, Jiandun, Dingyu Yang e Chunlei Ji. "Mine weighted network motifs via Bayes' theorem". In 2017 4th International Conference on Systems and Informatics (ICSAI). IEEE, 2017. http://dx.doi.org/10.1109/icsai.2017.8248334.
Testo completoDezert, Jean, Albena Tchamova, Deqiang Han e Thanuka Wickramarathne. "A Simplified Formulation of Generalized Bayes' Theorem". In 2019 22th International Conference on Information Fusion (FUSION). IEEE, 2019. http://dx.doi.org/10.23919/fusion43075.2019.9011357.
Testo completoRapporti di organizzazioni sul tema "Bayes's theorem"
Smith, A. F., e A. E. Gelfand. Bayes Theorem from a Sampling-Resampling Perspective. Fort Belvoir, VA: Defense Technical Information Center, luglio 1991. http://dx.doi.org/10.21236/ada239515.
Testo completoSmith, Donald L., Denise Neudecker e Roberto Capote Noy. Investigation of the Effects of Probability Density Function Kurtosis on Evaluated Data Results. IAEA Nuclear Data Section, maggio 2018. http://dx.doi.org/10.61092/iaea.yxma-3y50.
Testo completoSmith, Donald L., Denise Neudecker e Roberto Capote Noy. Investigation of the Effects of Probability Density Function Kurtosis on Evaluated Data Results. IAEA Nuclear Data Section, maggio 2020. http://dx.doi.org/10.61092/iaea.nqsh-f02d.
Testo completoSmith, D. L., D. Neudecker e R. Capote Noy. Investigation of the Effects of Probability Density Function Kurtosis on Evaluated Data Results. IAEA Nuclear Data Section, maggio 2020. http://dx.doi.org/10.61092/iaea.3ar5-xmp8.
Testo completo