Relevant bibliographies by topics / Probabilité a priori

Contents

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

Academic literature on the topic 'Probabilité a priori'

Author: Grafiati
Published: 4 June 2021
Last updated: 8 February 2022

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Journal articles on the topic "Probabilité a priori"

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Vernes, Jean-René. "Le principe de Pascal-Hume et la métaphysique." Articles 22, no. 2 (2007): 237–46. http://dx.doi.org/10.7202/027330ar.

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RÉSUMÉ Le raisonnement par lequel Hume établit l'ori- gine empirique de Vidée de cause repose implicitement sur un principe de possibilité a priori et même de probabilité a priori, dont Hume n'a pas remarqué le caractère rationnel, tant il paraissait naturel. Ce principe est identique à celui sur lequel Pascal fonde le calcul des probabilités. Si l'on admet sa légitimité, il en résulte deux conséquences capita- les pour la théorie de la connaissance : 1 - La raison ne se limite pas aux seuls principes logiques en oeuvre dans la déduction mais doit reconnaître que ce qui est également pensable
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Bon, Jean-Louis, and Jean Bretagnolle. "Evaluation a priori de la probabilité de défaillance d'un système réparable." Comptes Rendus de l'Académie des Sciences - Series I - Mathematics 326, no. 6 (1998): 743–48. http://dx.doi.org/10.1016/s0764-4442(98)80042-6.

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Muchlinski, Elke. "Épistémologie et probabilité chez Keynes." Articles 79, no. 1-2 (2004): 57–70. http://dx.doi.org/10.7202/009674ar.

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Résumé Cet article propose une analyse épistémologique de la théorie des probabilités de Keynes. Il concerne plus particulièrement le lien entre la conception keynésienne des probabilités et la théorie économique élaborée par Keynes. Nous montrerons que Keynes s’oppose à l’esthétisme formel, aux lois rigides et à la théorie orthodoxe en raison de sa prétendue universalité spatio-temporelle. Nous verrons que Keynes substitue aux catégories traditionnelles, entre autres celles de rigueur et de connaissance complète, de nouvelles catégories comme celles d’incertitude, d’ignorance et d’anticipatio
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Ferreira, Cristina. "L’intimité familiale : quêtes et limites de l’engagement envers le proche." Sociologie et sociétés 35, no. 2 (2004): 149–61. http://dx.doi.org/10.7202/008528ar.

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Résumé L’engagement dans une vie familiale permet d’accéder à une économie morale des échanges favorable, a priori, à des formes spécifiques de reconnaissance. Témoignages réciproques de trajectoires biographiques et d’aspirations futures, accueils d’une plainte, aveux pudiques d’une faiblesse : ces promesses d’hospitalité faites aux singularités confèrent à l’intimité domestique une place significative dans l’existence des personnes. Mais qui dit promesse dit probabilité : l’intimité domestique connaît aussi ses limites et ses contraintes. Ces insuffisances du monde privé nous rappellent que
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Greenland, Sander. "Prior data for non-normal priors." Statistics in Medicine 26, no. 19 (2007): 3578–90. http://dx.doi.org/10.1002/sim.2788.

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Staicu, Ana-Maria, and Nancy M. Reid. "On probability matching priors." Canadian Journal of Statistics 36, no. 4 (2008): 613–22. http://dx.doi.org/10.1002/cjs.5550360408.

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Donald, Matthew J. "A priori probability and localized observers." Foundations of Physics 22, no. 9 (1992): 1111–72. http://dx.doi.org/10.1007/bf00732696.

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Yu, Ying, Ming Chen, and Ying Lei Li. "Fault Diagnosis of CNC Machine Tool Based on Bayesian Formula." Applied Mechanics and Materials 271-272 (December 2012): 1765–69. http://dx.doi.org/10.4028/www.scientific.net/amm.271-272.1765.

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Bayesian formula is used to determine diagnosis sequence when several fault trees meet requirements. Bayesian prior probability is usually determined through expert or the user's subjective judgment and historical experience. If there is lack of expert experience, the determination of priori probability is very difficult. A real-time priori probability calculation method is proposed, which needn’t any priori-knowledge and can regulate automatic on the monitoring parameters. It takes into account the multiple diagnosis impact and more flexible than fixed priori probability according application
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Taraldsen, Gunnar, and Bo Henry Lindqvist. "Conditional probability and improper priors." Communications in Statistics - Theory and Methods 45, no. 17 (2016): 5007–16. http://dx.doi.org/10.1080/03610926.2014.935430.

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Scricciolo, Catia. "Probability matching priors: a review." Journal of the Italian Statistical Society 8, no. 1 (1999): 83–100. http://dx.doi.org/10.1007/bf03178943.

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Dissertations / Theses on the topic "Probabilité a priori"

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Richard, Ghislaine. "Traitement de l'information sur la probabilité a priori et de l'information individualisante : pourquoi la prise en compte de l'une empêcherait-elle la prise en compte de l'autre ?" Paris 5, 1999. http://www.theses.fr/1999PA05H011.

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Pour estimer la probabilité qu'une personne appartienne à une catégorie plutôt qu'a une autre, le sujet dispose de deux informations. Une information sur la probabilité a priori - fréquence relative des catégories - et une information individualisante - description sommaire d'une personne - (problème des "avocats et des ingénieurs" imaginé par Kahneman et Tversky, 1973). La littérature suggère qu'à la prise en compte de l'une ou l'autre des informations correspond la négligence de l'autre. Il semble au contraire que le sujet tend à lier les informations et a les ajuster. Le degré de cohérence
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Deng, Weibing. "On the ranking property and underlying dynamics of complex systems." Thesis, Le Mans, 2013. http://www.theses.fr/2013LEMA1010/document.

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Des procédures de classement sont largement utilisées pour décrire les phénomènes observés dans de nombreux domaines des sciences sociales et naturelles, par exemple la sociologie, l’économie, la linguistique, la démographie, la physique, la biologie, etc.Dans cette thèse, nous nous sommes attachés à l’étude des propriétés de classement et des dynamiques sous-jacentes intégrées dans les systèmes complexes. En particulier,nous nous sommes concentrés sur les classements par score ou par prix dans les systèmes sportifs et les classements d’utilisation des mots ou caractères dans les langues humai
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Deng, Weibing. "Sur la propriété classement et dynamique sous-jacente des systèmes complexes." Phd thesis, Université du Maine, 2013. http://tel.archives-ouvertes.fr/tel-00839310.

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Des procédures de classement sont largement utilisées pour décrire les phénomènes observés dans de nombreux domaines des sciences sociales et naturelles, par exemple la sociologie, l'économie, la linguistique, la démographie, la physique, la biologie, etc.Dans cette thèse, nous nous sommes attachés à l'étude des propriétés de classement et des dynamiques sous-jacentes intégrées dans les systèmes complexes. En particulier,nous nous sommes concentrés sur les classements par score ou par prix dans les systèmes sportifs et les classements d'utilisation des mots ou caractères dans les langues humai
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Scheibe, Christina. "Processing of prior probability." Doctoral thesis, Humboldt-Universität zu Berlin, Mathematisch-Naturwissenschaftliche Fakultät II, 2010. http://dx.doi.org/10.18452/16166.

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Um eine Entscheidung zu treffen, muss Information interpretiert und in eine Handlung übersetzt werden. Dafür wird die a priori Wahrscheinlichkeit bezüglich der Entscheidungsalternativen in den Prozess der Entscheidungsfindung integriert und löst Mechanismen der Handlungsvorbereitung aus. In der vorliegenden Dissertation habe ich untersucht, welche Vorbereitungsprozesse aufgrund von wahrscheinlichkeitsbasierter Vorinformation stattfinden und welche Gehirnareale mit der Integration dieser Information assoziiert sind. Um diese Fragen zu beantworten, habe ich eine Verhaltensstudie, eine Studie mit
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Evans, Denis J., Debra J. Searles, and Stephen R. Williams. "A simple mathematical proof of boltzmann's equal a priori probability hypothesis." Universitätsbibliothek Leipzig, 2015. http://nbn-resolving.de/urn:nbn:de:bsz:15-qucosa-190362.

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Using the Fluctuation Theorem (FT), we give a first-principles derivation of Boltzmann’s postulate of equal a priori probability in phase space for the microcanonical ensemble. Using a corollary of the Fluctuation Theorem, namely the Second Law Inequality, we show that if the initial distribution differs from the uniform distribution over the energy hypersurface, then under very wide and commonly satisfied conditions, the initial distribution will relax to that uniform distribution. This result is somewhat analogous to the Boltzmann H-theorem but unlike that theorem, applies to dense fluids as
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Evans, Denis J., Debra J. Searles, and Stephen R. Williams. "A simple mathematical proof of boltzmann's equal a priori probability hypothesis." Diffusion fundamentals 11 (2009) 57, S. 1-8, 2009. https://ul.qucosa.de/id/qucosa%3A14022.

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Using the Fluctuation Theorem (FT), we give a first-principles derivation of Boltzmann’s postulate of equal a priori probability in phase space for the microcanonical ensemble. Using a corollary of the Fluctuation Theorem, namely the Second Law Inequality, we show that if the initial distribution differs from the uniform distribution over the energy hypersurface, then under very wide and commonly satisfied conditions, the initial distribution will relax to that uniform distribution. This result is somewhat analogous to the Boltzmann H-theorem but unlike that theorem, applies to dense fluids as
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Lee, Mi Hyun. "On Independent Reference Priors." Diss., Virginia Tech, 2007. http://hdl.handle.net/10919/30096.

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In Bayesian inference, the choice of prior has been of great interest. Subjective priors are ideal if sufficient information on priors is available. However, in practice, we cannot collect enough information on priors. Then objective priors are a good substitute for subjective priors. In this dissertation, an independent reference prior based on a class of objective priors is examined. It is a reference prior derived by assuming that the parameters are independent. The independent reference prior introduced by Sun and Berger (1998) is extended and generalized. We provide an iterative algorithm
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Molléro, Roch. "Personnalisation robuste de modèles 3D électromécaniques du cœur. Application à des bases de données cliniques hétérogènes et longitudinales." Thesis, Côte d'Azur, 2017. http://www.theses.fr/2017AZUR4106/document.

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La modélisation cardiaque personnalisée consiste à créer des simulations 3D virtuelles de cas cliniques réels pour aider les cliniciens à prédire le comportement du cœur ou à mieux comprendre certaines pathologies. Dans cette thèse nous illustrons d'abord la nécessité d'une approche robuste d'estimation des paramètres, dans un cas ou l'incertitude dans l'orientation des fibres myocardiques entraîne une incertitude dans les paramètres estimés qui est très large par rapport à leur variabilité physiologique. Nous présentons ensuite une approche originale multi-échelle 0D/3D pour réduire le temps
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Eno, Daniel R. "Noninformative Prior Bayesian Analysis for Statistical Calibration Problems." Diss., Virginia Tech, 1999. http://hdl.handle.net/10919/27140.

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In simple linear regression, it is assumed that two variables are linearly related, with unknown intercept and slope parameters. In particular, a regressor variable is assumed to be precisely measurable, and a response is assumed to be a random variable whose mean depends on the regressor via a linear function. For the simple linear regression problem, interest typically centers on estimation of the unknown model parameters, and perhaps application of the resulting estimated linear relationship to make predictions about future response values corresponding to given regressor values. The linear
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Fronczyk, Kassandra M. "Development of Informative Priors in Microarray Studies." Diss., CLICK HERE for online access, 2007. http://contentdm.lib.byu.edu/ETD/image/etd2031.pdf.

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Books on the topic "Probabilité a priori"

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Rahul, Mukerjee, ed. Probability Matching Priors: Higher Order Asymptotics. Springer New York, 2004.

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Datta, Gauri Sankar, and Rahul Mukerjee. Probability Matching Priors: Higher Order Asymptotics. Springer New York, 2004. http://dx.doi.org/10.1007/978-1-4612-2036-7.

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S, Korkhin Arnold, and SpringerLink (Online service), eds. Regression Analysis Under A Priori Parameter Restrictions. Springer Science+Business Media, LLC, 2012.

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Wasserman, Larry. Prior envelopes based on belief functions. University of Toronto, Dept. of Statistics, 1987.

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Donnelly, Christl A. Statistical aspects of BSE and vCJD: Models for epidemics. Chapman & Hall/CRC, 2000.

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Probability Matching Priors: Higher Order Asymptotics. Springer, 2004.

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Knopov, Pavel S., and Arnold S. Korkhin. Regression Analysis Under A Priori Parameter Restrictions. Springer, 2011.

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Knopov, Pavel S., and Arnold S. Korkhin. Regression Analysis Under A Priori Parameter Restrictions. Springer, 2013.

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Venegas-Martinez, Francisco. Some studies on information measures and prior distributions. 1988.

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McCarthy, David. Probability in Ethics. Edited by Alan Hájek and Christopher Hitchcock. Oxford University Press, 2017. http://dx.doi.org/10.1093/oxfordhb/9780199607617.013.36.

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It is natural to think that the most basic questions in ethical theory do not have much to do with probability. Given answers to these questions, we can try to extend them to cases involving probability, though this job might best be handled by more technical disciplines. This chapter is an argument for the opposite view. The major ethical problems to do with probability involve very little mathematics; many topics which seem to have nothing to do with probability are arguably all about probability; and thinking about various problems to do with probability can help solve analogous problems wh
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Book chapters on the topic "Probabilité a priori"

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Webb, Geoffrey I. "Prior Probability." In Encyclopedia of Machine Learning and Data Mining. Springer US, 2017. http://dx.doi.org/10.1007/978-1-4899-7687-1_962.

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Zeugmann, Thomas, Pascal Poupart, James Kennedy, et al. "Prior Probability." In Encyclopedia of Machine Learning. Springer US, 2011. http://dx.doi.org/10.1007/978-0-387-30164-8_658.

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Demski, Abram. "Logical Prior Probability." In Artificial General Intelligence. Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-35506-6_6.

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Bellhouse, David. "Probability Prior to Pascal." In Statisticians of the Centuries. Springer New York, 2001. http://dx.doi.org/10.1007/978-1-4613-0179-0_1.

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Sweeting, Trevor J. "On predictive probability matching priors." In Institute of Mathematical Statistics Collections. Institute of Mathematical Statistics, 2008. http://dx.doi.org/10.1214/074921708000000048.

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Berger, James O. "Prior Information and Subjective Probability." In Springer Series in Statistics. Springer New York, 1985. http://dx.doi.org/10.1007/978-1-4757-4286-2_3.

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Datta, Gauri Sankar, and Rahul Mukerjee. "Matching Priors for Prediction." In Probability Matching Priors: Higher Order Asymptotics. Springer New York, 2004. http://dx.doi.org/10.1007/978-1-4612-2036-7_6.

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Datta, Gauri Sankar, and Rahul Mukerjee. "Introduction and the Shrinkage Argument." In Probability Matching Priors: Higher Order Asymptotics. Springer New York, 2004. http://dx.doi.org/10.1007/978-1-4612-2036-7_1.

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Datta, Gauri Sankar, and Rahul Mukerjee. "Matching Priors for Posterior Quantiles." In Probability Matching Priors: Higher Order Asymptotics. Springer New York, 2004. http://dx.doi.org/10.1007/978-1-4612-2036-7_2.

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Datta, Gauri Sankar, and Rahul Mukerjee. "Matching Priors for Distribution Functions." In Probability Matching Priors: Higher Order Asymptotics. Springer New York, 2004. http://dx.doi.org/10.1007/978-1-4612-2036-7_3.

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Conference papers on the topic "Probabilité a priori"

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Fuchs, Christopher A., Rüdiger Schack, Luigi Accardi, et al. "Priors in Quantum Bayesian Inference." In FOUNDATIONS OF PROBABILITY AND PHYSICS—5. AIP, 2009. http://dx.doi.org/10.1063/1.3109948.

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Zhao, Dongfeng, and Xianwei Zhou. "Spectrum Sensing Using Prior Probability Prediction." In 2011 7th International Conference on Wireless Communications, Networking and Mobile Computing (WiCOM). IEEE, 2011. http://dx.doi.org/10.1109/wicom.2011.6036692.

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Biswas, Arpita, and Suvam Mukherjee. "Ensuring Fairness under Prior Probability Shifts." In AIES '21: AAAI/ACM Conference on AI, Ethics, and Society. ACM, 2021. http://dx.doi.org/10.1145/3461702.3462596.

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Zhao, Dongfeng, Xiao Ma, and Xianwei Zhou. "Prior Probability-Aided Secure Cooperative Spectrum Sensing." In 2011 7th International Conference on Wireless Communications, Networking and Mobile Computing (WiCOM). IEEE, 2011. http://dx.doi.org/10.1109/wicom.2011.6036691.

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Zongyu Lan, Shaozi Li, Donglin Cao, and Xiao Ke. "Automatic image annotation based on vocabulary prior probability." In 2010 IEEE International Conference on Intelligent Computing and Intelligent Systems (ICIS 2010). IEEE, 2010. http://dx.doi.org/10.1109/icicisys.2010.5658263.

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Komorniczak, Joanna, Pawel Zyblewski, and Pawel Ksieniewicz. "Prior Probability Estimation in Dynamically Imbalanced Data Streams." In 2021 International Joint Conference on Neural Networks (IJCNN). IEEE, 2021. http://dx.doi.org/10.1109/ijcnn52387.2021.9533795.

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Wang, Lei, Xu Zhao, and Yuncai Liu. "Reduce false positives for human detection by a priori probability in videos." In 2015 3rd IAPR Asian Conference on Pattern Recognition (ACPR). IEEE, 2015. http://dx.doi.org/10.1109/acpr.2015.7486570.

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Li, Tengyue, Simon Fong, Joao Alexandre Lobo Marques, and Raymond K. Wong. "Fast Cluster-learning with Prior Probability from Big Dataset." In 2018 5th International Conference on Soft Computing & Machine Intelligence (ISCMI). IEEE, 2018. http://dx.doi.org/10.1109/iscmi.2018.8703219.

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Esfahani, Mohammad Shahrokh, and Edward R. Dougherty. "Sample-based prior probability construction using biological pathway knowledge." In 2013 Asilomar Conference on Signals, Systems and Computers. IEEE, 2013. http://dx.doi.org/10.1109/acssc.2013.6810526.

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Bhagalia, Roshni, Jeffrey A. Fessler, Boklye Kim, and Charles R. Meyer. "Improved fMRI time-series registration using joint probability density priors." In SPIE Medical Imaging, edited by Josien P. W. Pluim and Benoit M. Dawant. SPIE, 2009. http://dx.doi.org/10.1117/12.811421.

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Reports on the topic "Probabilité a priori"

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Pouliot, D., R. Latifovic, and W. Parkinson. Influence of sample distribution and prior probability adjustment on land cover classification. Natural Resources Canada/ESS/Scientific and Technical Publishing Services, 2016. http://dx.doi.org/10.4095/297517.

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Clausen, Jay, Susan Frankenstein, Jason Dorvee, et al. Spatial and temporal variance of soil and meteorological properties affecting sensor performance—Phase 2. Engineer Research and Development Center (U.S.), 2021. http://dx.doi.org/10.21079/11681/41780.

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An approach to increasing sensor performance and detection reliability for buried objects is to better understand which physical processes are dominant under certain environmental conditions. The present effort (Phase 2) builds on our previously published prior effort (Phase 1), which examined methods of determining the probability of detection and false alarm rates using thermal infrared for buried-object detection. The study utilized a 3.05 × 3.05 m test plot in Hanover, New Hampshire. Unlike Phase 1, the current effort involved removing the soil from the test plot area, homogenizing the mat
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