Auswahl der wissenschaftlichen Literatur zum Thema „Bayes's theorem“
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Zeitschriftenartikel zum Thema "Bayes's theorem"
Utyuganova, V. V., V. S. Serdyuk und A. I. Fomin. „Prediction and Assessment of the Occupational Risks in the Mining Industry Using the Bayess Theorem“. Occupational Safety in Industry, Nr. 1 (Januar 2021): 79–87. http://dx.doi.org/10.24000/0409-2961-2021-1-79-87.
Der volle Inhalt der QuelleEells, E. „Review: Bayes's Theorem“. Mind 113, Nr. 451 (01.07.2004): 591–96. http://dx.doi.org/10.1093/mind/113.451.591.
Der volle Inhalt der QuelleMcGrew, T. „Two cheers for Bayes's theorem“. Analysis 55, Nr. 2 (01.04.1995): 123–25. http://dx.doi.org/10.1093/analys/55.2.123.
Der volle Inhalt der QuelleCadwalladerOlsker, Todd D. „When 95% Accurate Isn't: Exploring Bayes's Theorem“. Mathematics Teacher 104, Nr. 6 (Februar 2011): 426–31. http://dx.doi.org/10.5951/mt.104.6.0426.
Der volle Inhalt der QuelleCadwalladerOlsker, Todd D. „When 95% Accurate Isn't: Exploring Bayes's Theorem“. Mathematics Teacher 104, Nr. 6 (Februar 2011): 426–31. http://dx.doi.org/10.5951/mt.104.6.0426.
Der volle Inhalt der QuelleZellner, Arnold. „Optimal Information Processing and Bayes's Theorem“. American Statistician 42, Nr. 4 (November 1988): 278. http://dx.doi.org/10.2307/2685143.
Der volle Inhalt der QuelleZellner, Arnold. „Optimal Information Processing and Bayes's Theorem“. American Statistician 42, Nr. 4 (November 1988): 278–80. http://dx.doi.org/10.1080/00031305.1988.10475585.
Der volle Inhalt der QuelleJaynes, E. T. „[Optimal Information Processing and Bayes's Theorem]: Comment“. American Statistician 42, Nr. 4 (November 1988): 280. http://dx.doi.org/10.2307/2685144.
Der volle Inhalt der QuelleHill, Bruce M. „[Optimal Information Processing and Bayes's Theorem]: Comment“. American Statistician 42, Nr. 4 (November 1988): 281. http://dx.doi.org/10.2307/2685145.
Der volle Inhalt der QuelleZellner, Arnold. „[Optimal Information Processing and Bayes's Theorem]: Reply“. American Statistician 42, Nr. 4 (November 1988): 283. http://dx.doi.org/10.2307/2685148.
Der volle Inhalt der QuelleDissertationen zum Thema "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.
Der volle Inhalt der QuelleRogers, 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.
Der volle Inhalt der QuelleAdvisor: 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.
Der volle Inhalt der QuelleFletcher, Douglas. „Generalized Empirical Bayes: Theory, Methodology, and Applications“. Diss., Temple University Libraries, 2019. http://cdm16002.contentdm.oclc.org/cdm/ref/collection/p245801coll10/id/546485.
Der volle Inhalt der QuellePh.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.
Der volle Inhalt der QuelleChadwick, Thomas Jonathan. „A general Bayes theory of nested model comparisons“. Thesis, University of Newcastle Upon Tyne, 2002. http://hdl.handle.net/10443/641.
Der volle Inhalt der QuelleZhang, 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.
Der volle Inhalt der QuelleYang, 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.
Der volle Inhalt der QuelleLiu, 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.
Der volle Inhalt der QuelleLiu, Ka-yee, und 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.
Der volle Inhalt der QuelleBücher zum Thema "Bayes's theorem"
Richard, Swinburne, und British Academy, Hrsg. Bayes's theorem. Oxford: Published for The British Academy by Oxford University Press, 2002.
Den vollen Inhalt der Quelle findenProving history: Bayes's theorem and the quest for the historical Jesus. Amherst, N.Y: Prometheus Books, 2012.
Den vollen Inhalt der Quelle findenKuo, Lynn. Bayesian computations in survival models via the Gibbs sampler. Monterey, Calif: Naval Postgraduate School, 1991.
Den vollen Inhalt der Quelle findenKucsma, András I. Bidding for contract games: Applying game theory to analyze first price sealed bid auctions. Monterey, Calif: Naval Postgraduate School, 1997.
Den vollen Inhalt der Quelle findenGaver, Donald Paul. Regression analysis of hierarchical Poisson-like event rate data: Superpopulation model effect on predictions. Monterey, Calif: Naval Postgraduate School, 1990.
Den vollen Inhalt der Quelle findenERIC Clearinghouse on Assessment and Evaluation., Hrsg. 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.
Den vollen Inhalt der Quelle findenCarlin, Bradley P. Bayes and empirical Bayes methods for data analysis. Boca Raton: Chapman & Hall/CRC, 1998.
Den vollen Inhalt der Quelle findenCarlin, Bradley P. Bayes and Empirical Bayes methods for data analysis. 2. Aufl. Boca Raton: Chapman & Hall/CRC, 2000.
Den vollen Inhalt der Quelle finden1944-, Louis Thomas A., Hrsg. Bayes and empirical Bayes methods for data analysis. London: Chapman & Hall, 1996.
Den vollen Inhalt der Quelle findenLarge-scale inference: Empirical Bayes methods for estimation, testing, and prediction. Cambridge: Cambridge University Press, 2010.
Den vollen Inhalt der Quelle findenBuchteile zum Thema "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.
Der volle Inhalt der QuelleModis, 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.
Der volle Inhalt der QuelleO’Hagan, Anthony. „Bayes’ theorem“. In Probability, 45–61. Dordrecht: Springer Netherlands, 1988. http://dx.doi.org/10.1007/978-94-009-1211-3_3.
Der volle Inhalt der QuelleHarney, 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.
Der volle Inhalt der QuellePetroianu, Georg, und 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.
Der volle Inhalt der QuelleHarney, 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.
Der volle Inhalt der QuelleHoang, 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.
Der volle Inhalt der QuelleKoch, 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.
Der volle Inhalt der QuelleKadane, 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.
Der volle Inhalt der QuelleGooch, 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.
Der volle Inhalt der QuelleKonferenzberichte zum Thema "Bayes's theorem"
Dezert, Jean, Albena Tchamova und 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.
Der volle Inhalt der QuellePrice, 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.
Der volle Inhalt der QuelleBallesteros-Pérez, Pablo, Mª Carmen González-Cruz und 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.
Der volle Inhalt der QuelleJosang, 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.
Der volle Inhalt der QuelleKosko, 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.
Der volle Inhalt der QuelleQu, Guangzhi, Hui Zhang und 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.
Der volle Inhalt der QuelleXiao, Mi, Qiangzhuang Yao, Liang Gao, Haihong Xiong und 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.
Der volle Inhalt der QuelleLiu, Hongze, Zhengjiang Liu, Xin Wang und 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.
Der volle Inhalt der QuelleLi, Jiandun, Dingyu Yang und 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.
Der volle Inhalt der QuelleDezert, Jean, Albena Tchamova, Deqiang Han und 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.
Der volle Inhalt der QuelleBerichte der Organisationen zum Thema "Bayes's theorem"
Smith, A. F., und A. E. Gelfand. Bayes Theorem from a Sampling-Resampling Perspective. Fort Belvoir, VA: Defense Technical Information Center, Juli 1991. http://dx.doi.org/10.21236/ada239515.
Der volle Inhalt der QuelleSmith, Donald L., Denise Neudecker und Roberto Capote Noy. Investigation of the Effects of Probability Density Function Kurtosis on Evaluated Data Results. IAEA Nuclear Data Section, Mai 2018. http://dx.doi.org/10.61092/iaea.yxma-3y50.
Der volle Inhalt der QuelleSmith, Donald L., Denise Neudecker und Roberto Capote Noy. Investigation of the Effects of Probability Density Function Kurtosis on Evaluated Data Results. IAEA Nuclear Data Section, Mai 2020. http://dx.doi.org/10.61092/iaea.nqsh-f02d.
Der volle Inhalt der QuelleSmith, D. L., D. Neudecker und R. Capote Noy. Investigation of the Effects of Probability Density Function Kurtosis on Evaluated Data Results. IAEA Nuclear Data Section, Mai 2020. http://dx.doi.org/10.61092/iaea.3ar5-xmp8.
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