Bibliografías temáticas / Probability theory

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Literatura académica sobre el tema "Probability theory"

Autor: Grafiati
Publicado: 4 de junio de 2021
Última modificación: 25 de julio de 2025

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Artículos de revistas sobre el tema "Probability theory"

1

Thun, M. von. "Probability Theory and Probability Semantics." Australasian Journal of Philosophy 79, no. 4 (2001): 570–71. http://dx.doi.org/10.1080/713659287.

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Kiessler, Peter C. "Measure Theory and Probability Theory." Journal of the American Statistical Association 102, no. 479 (2007): 1078. http://dx.doi.org/10.1198/jasa.2007.s207.

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Berckmoes, B., R. Lowen, and J. Van Casteren. "Approach theory meets probability theory." Topology and its Applications 158, no. 7 (2011): 836–52. http://dx.doi.org/10.1016/j.topol.2011.01.004.

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Lindley, D. V., and Harold Jeffreys. "Theory of Probability." Mathematical Gazette 83, no. 497 (1999): 372. http://dx.doi.org/10.2307/3619118.

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Guionnet, Alice, Roland Speicher, and Dan-Virgil Voiculescu. "Free Probability Theory." Oberwolfach Reports 12, no. 2 (2015): 1571–629. http://dx.doi.org/10.4171/owr/2015/28.

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Guionnet, Alice, Roland Speicher, and Dan-Virgil Voiculescu. "Free Probability Theory." Oberwolfach Reports 15, no. 4 (2019): 3147–215. http://dx.doi.org/10.4171/owr/2018/53.

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Bhat, B. R. "Modern Probability Theory." Biometrics 42, no. 4 (1986): 1007. http://dx.doi.org/10.2307/2530732.

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Jeffreys, H., P. A. P. Moran, and C. Chatfield. "Theory of Probability." Biometrics 41, no. 2 (1985): 597. http://dx.doi.org/10.2307/2530899.

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Speicher, Roland. "Free Probability Theory." Jahresbericht der Deutschen Mathematiker-Vereinigung 119, no. 1 (2016): 3–30. http://dx.doi.org/10.1365/s13291-016-0150-5.

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MTW and Harold Jeffreys. "Theory of Probability." Journal of the American Statistical Association 94, no. 448 (1999): 1389. http://dx.doi.org/10.2307/2669965.

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Tesis sobre el tema "Probability theory"

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Halliwell, Joe. "Linguistic probability theory." Thesis, University of Edinburgh, 2008. http://hdl.handle.net/1842/29135.

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A theory of linguistic probabilities as is patterned after the standard Kolmogorov axioms of probability theory. Since fuzzy numbers lack algebraic inverses, the resulting theory is weaker than, but generalizes its classical counterpart. Nevertheless, it is demonstrated that analogues for classical probabilistic concepts such as conditional probability and random variables can be constructed. In the classical theory, representation theorems mean that most of the time the distinction between mass/density distributions and probability measures can be ignored. Similar results are proven for lingu
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Youmbi, Norbert. "Probability theory on semihypergroups." [Tampa, Fla.] : University of South Florida, 2005. http://purl.fcla.edu/fcla/etd/SFE0001201.

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Sorokin, Yegor. "Probability theory, fourier transform and central limit theorem." Manhattan, Kan. : Kansas State University, 2009. http://hdl.handle.net/2097/1604.

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Johns, Richard. "A theory of physical probability." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 1999. http://www.collectionscanada.ca/obj/s4/f2/dsk1/tape9/PQDD_0027/NQ38907.pdf.

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Perlin, Alex 1974. "Probability theory on Galton-Watson trees." Thesis, Massachusetts Institute of Technology, 2001. http://hdl.handle.net/1721.1/8673.

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Thesis (Ph. D.)--Massachusetts Institute of Technology, Dept. of Mathematics, 2001.<br>Includes bibliographical references (p. 91).<br>By a Galton-Watson tree T we mean an infinite rooted tree that starts with one node and where each node has a random number of children independently of the rest of the tree. In the first chapter of this thesis, we prove a conjecture made in [7] for Galton-Watson trees where vertices have bounded number of children not equal to 1. The conjecture states that the electric conductance of such a tree has a continuous distribution. In the second chapter, we study ra
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Wang, Jiun-Chau. "Limit theorems in noncommutative probability theory." [Bloomington, Ind.] : Indiana University, 2008. http://gateway.proquest.com/openurl?url_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:dissertation&res_dat=xri:pqdiss&rft_dat=xri:pqdiss:3331258.

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Thesis (Ph.D.)--Indiana University, Dept. of Mathematics, 2008.<br>Title from PDF t.p. (viewed on Jul 27, 2009). Source: Dissertation Abstracts International, Volume: 69-11, Section: B, page: 6852. Adviser: Hari Bercovici.
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Burns, Jonathan. "Recursive Methods in Number Theory, Combinatorial Graph Theory, and Probability." Scholar Commons, 2014. https://scholarcommons.usf.edu/etd/5193.

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Recursion is a fundamental tool of mathematics used to define, construct, and analyze mathematical objects. This work employs induction, sieving, inversion, and other recursive methods to solve a variety of problems in the areas of algebraic number theory, topological and combinatorial graph theory, and analytic probability and statistics. A common theme of recursively defined functions, weighted sums, and cross-referencing sequences arises in all three contexts, and supplemented by sieving methods, generating functions, asymptotics, and heuristic algorithms. In the area of number theory, this
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Christopher, Fisher Ryan. "Are people naive probability theorists? An examination of the probability theory + variation model." Miami University / OhioLINK, 2014. http://rave.ohiolink.edu/etdc/view?acc_num=miami1406657670.

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Tarrago, Pierre. "Non-commutative generalization of some probabilistic results from representation theory." Thesis, Paris Est, 2015. http://www.theses.fr/2015PESC1123/document.

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Le sujet de cette thèse est la généralisation non-commutative de résultats probabilistes venant de la théorie des représentations. Les résultats obtenus se divisent en trois parties distinctes. Dans la première partie de la thèse, le concept de groupe quantique easy est étendu au cas unitaire. Tout d'abord, nous donnons une classification de l'ensemble des groupes quantiques easy unitaires dans le cas libre et classique. Nous étendons ensuite les résultats probabilistes de au cas unitaire. La deuxième partie de la thèse est consacrée à une étude du produit en couronne libre. Dans un premier te
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McGillivray, Ivor Edward. "Some applications of Dirichlet forms in probability theory." Thesis, University of Cambridge, 1992. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.241102.

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Libros sobre el tema "Probability theory"

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Meyer, Paul André. Quantum probability for probabilists. Springer-Verlag, 1993.

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Chen, Louis H. Y., Kwok P. Choi, Kaiyuan Hu, and Lou Jiann-Hua, eds. Probability Theory. DE GRUYTER, 1992. http://dx.doi.org/10.1515/9783110862829.

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Rudas, Tamás. Probability Theory. SAGE Publications, Inc., 2004. http://dx.doi.org/10.4135/9781412985482.

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Sinai, Yakov G. Probability Theory. Springer Berlin Heidelberg, 1992. http://dx.doi.org/10.1007/978-3-662-02845-2.

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Chow, Yuan Shih, and Henry Teicher. Probability Theory. Springer US, 1988. http://dx.doi.org/10.1007/978-1-4684-0504-0.

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Hendricks, Vincent F., Stig Andur Pedersen, and Klaus Frovin Jørgensen, eds. Probability Theory. Springer Netherlands, 2001. http://dx.doi.org/10.1007/978-94-015-9648-0.

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Klenke, Achim. Probability Theory. Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-56402-5.

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Pakshirajan, R. P. Probability Theory. Hindustan Book Agency, 2013. http://dx.doi.org/10.1007/978-93-86279-54-5.

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Chow, Yuan Shih, and Henry Teicher. Probability Theory. Springer New York, 1997. http://dx.doi.org/10.1007/978-1-4612-1950-7.

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Borkar, Vivek S. Probability Theory. Springer New York, 1995. http://dx.doi.org/10.1007/978-1-4612-0791-7.

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Capítulos de libros sobre el tema "Probability theory"

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O’Hagan, Anthony. "Distribution theory." In Probability. Springer Netherlands, 1988. http://dx.doi.org/10.1007/978-94-009-1211-3_6.

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Cohn, Donald L. "Probability." In Measure Theory. Springer New York, 2013. http://dx.doi.org/10.1007/978-1-4614-6956-8_10.

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Lynch, Scott M. "Probability Theory." In Using Statistics in Social Research. Springer New York, 2013. http://dx.doi.org/10.1007/978-1-4614-8573-5_5.

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Koch, Karl-Rudolf. "Probability Theory." In Parameter Estimation and Hypothesis Testing in Linear Models. Springer Berlin Heidelberg, 1988. http://dx.doi.org/10.1007/978-3-662-02544-4_3.

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Čepin, Marko. "Probability Theory." In Assessment of Power System Reliability. Springer London, 2011. http://dx.doi.org/10.1007/978-0-85729-688-7_4.

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Lista, Luca. "Probability Theory." In Statistical Methods for Data Analysis in Particle Physics. Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-62840-0_1.

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Durrett, Rick. "Probability Theory." In Mathematics Unlimited — 2001 and Beyond. Springer Berlin Heidelberg, 2001. http://dx.doi.org/10.1007/978-3-642-56478-9_18.

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Stroock, Daniel W. "Probability Theory." In Mathematics Unlimited — 2001 and Beyond. Springer Berlin Heidelberg, 2001. http://dx.doi.org/10.1007/978-3-642-56478-9_57.

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Sucar, Luis Enrique. "Probability Theory." In Probabilistic Graphical Models. Springer London, 2015. http://dx.doi.org/10.1007/978-1-4471-6699-3_2.

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Yao, Kai. "Probability Theory." In Uncertain Renewal Processes. Springer Singapore, 2019. http://dx.doi.org/10.1007/978-981-13-9345-7_1.

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Actas de conferencias sobre el tema "Probability theory"

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Temlyakov, V. N. "Optimal estimators in learning theory." In Approximation and Probability. Institute of Mathematics Polish Academy of Sciences, 2006. http://dx.doi.org/10.4064/bc72-0-23.

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Helland, Inge S. "Quantum theory as a statistical theory under symmetry." In FOUNDATIONS OF PROBABILITY AND PHYSICS - 3. AIP, 2005. http://dx.doi.org/10.1063/1.1874567.

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Gudder, Stan. "Fuzzy Quantum Probability Theory." In FOUNDATIONS OF PROBABILITY AND PHYSICS - 3. AIP, 2005. http://dx.doi.org/10.1063/1.1874565.

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Pleśniak, W. "Multivariate polynomial inequalities viapluripotential theory and subanalytic geometry methods." In Approximation and Probability. Institute of Mathematics Polish Academy of Sciences, 2006. http://dx.doi.org/10.4064/bc72-0-16.

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Chiribella, G., G. M. D'Ariano, and Paolo Perinotti. "Informational axioms for quantum theory." In FOUNDATIONS OF PROBABILITY AND PHYSICS - 6. AIP, 2012. http://dx.doi.org/10.1063/1.3688980.

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Pérez-Suárez, Marcos. "Bayesian Intersubjectivity and Quantum Theory." In FOUNDATIONS OF PROBABILITY AND PHYSICS - 3. AIP, 2005. http://dx.doi.org/10.1063/1.1874582.

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Woesler, Richard. "Problems of Quantum Theory may be Solved by an Emulation Theory of Quantum Physics." In FOUNDATIONS OF PROBABILITY AND PHYSICS - 3. AIP, 2005. http://dx.doi.org/10.1063/1.1874589.

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Vacchini, B. "A Probabilistic View on Decoherence Theory." In FOUNDATIONS OF PROBABILITY AND PHYSICS - 4. AIP, 2007. http://dx.doi.org/10.1063/1.2713491.

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Sverdlov, Roman. "Quantum field theory without Fock space." In FOUNDATIONS OF PROBABILITY AND PHYSICS - 6. AIP, 2012. http://dx.doi.org/10.1063/1.3688986.

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Gregory, Lee. "Quantum Filtering Theory and the Filtering Interpretation." In FOUNDATIONS OF PROBABILITY AND PHYSICS - 3. AIP, 2005. http://dx.doi.org/10.1063/1.1874562.

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Informes sobre el tema "Probability theory"

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Hurley, Michael B. Track Association with Bayesian Probability Theory. Defense Technical Information Center, 2003. http://dx.doi.org/10.21236/ada417987.

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Goodman, I. R., and V. M. Bier. A Re-Examination of the Relationship between Fuzzy Set Theory and Probability Theory. Defense Technical Information Center, 1991. http://dx.doi.org/10.21236/ada240243.

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Steele, J. M. Probability and Statistics Applied to the Theory of Algorithms. Defense Technical Information Center, 1995. http://dx.doi.org/10.21236/ada295805.

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Sullivan, Keith M., and Ian Grivell. QSIM: A Queueing Theory Model with Various Probability Distribution Functions. Defense Technical Information Center, 2003. http://dx.doi.org/10.21236/ada414471.

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Oberkampf, William Louis, W. Troy Tucker, Jianzhong Zhang, et al. Dependence in probabilistic modeling, Dempster-Shafer theory, and probability bounds analysis. Office of Scientific and Technical Information (OSTI), 2004. http://dx.doi.org/10.2172/919189.

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Pasupuleti, Murali Krishna. Quantum Cognition: Modeling Decision-Making with Quantum Theory. National Education Services, 2025. https://doi.org/10.62311/nesx/rrvi225.

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Abstract Quantum cognition applies quantum probability theory and mathematical principles from quantum mechanics to model human decision-making, reasoning, and cognitive processes beyond the constraints of classical probability models. Traditional decision theories, such as expected utility theory and Bayesian inference, struggle to explain context-dependent reasoning, preference reversals, order effects, and cognitive biases observed in human behavior. By incorporating superposition, interference, and entanglement, quantum cognitive models offer a probabilistic framework that better accounts
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Wise, Gary L. Some Applications of Probability and Statistics in Communication Theory and Signal Processing. Defense Technical Information Center, 1990. http://dx.doi.org/10.21236/ada226869.

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Ilyin, M. E. The distance learning course «Theory of probability, mathematical statistics and random functions». OFERNIO, 2018. http://dx.doi.org/10.12731/ofernio.2018.23529.

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Budhiraja, Amarjit. Stochastic Analysis and Applied Probability(3.3.1): Topics in the Theory and Applications of Stochastic Analysis. Defense Technical Information Center, 2015. http://dx.doi.org/10.21236/ada625850.

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Kott, Phillip S. The Degrees of Freedom of a Variance Estimator in a Probability Sample. RTI Press, 2020. http://dx.doi.org/10.3768/rtipress.2020.mr.0043.2008.

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Inferences from probability-sampling theory (more commonly called “design-based sampling theory”) often rely on the asymptotic normality of nearly unbiased estimators. When constructing a two-sided confidence interval for a mean, the ad hoc practice of determining the degrees of freedom of a probability-sampling variance estimator by subtracting the number of its variance strata from the number of variance primary sampling units (PSUs) can be justified by making usually untenable assumptions about the PSUs. We will investigate the effectiveness of this conventional and an alternative method fo
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