Relevant bibliographies by topics / A priori probability

Contents

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

Academic literature on the topic 'A priori probability'

Author: Grafiati
Published: 4 June 2021
Last updated: 5 February 2022

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Journal articles on the topic "A priori probability"

1

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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Wang, Jin, Wenbing Wu, Zhuofan Liao, et al. "A Probability Preferred Priori Offloading Mechanism in Mobile Edge Computing." IEEE Access 8 (2020): 39758–67. http://dx.doi.org/10.1109/access.2020.2975733.

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Eberhardt, Frederick. "Reliability via synthetic a priori: Reichenbach’s doctoral thesis on probability." Synthese 181, no. 1 (2009): 125–36. http://dx.doi.org/10.1007/s11229-009-9587-8.

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Caplan, Bryan. "Probability and the synthetic a Priori: A reply to block." Quarterly Journal of Austrian Economics 6, no. 3 (2003): 77–83. http://dx.doi.org/10.1007/s12113-003-1025-z.

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Russell, Jeffrey Sanford. "On the Probability of Plenitude." Journal of Philosophy 117, no. 5 (2020): 267–92. http://dx.doi.org/10.5840/jphil2020117517.

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I examine what the mathematical theory of random structures can teach us about the probability of Plenitude, a thesis closely related to David Lewis's modal realism. Given some natural assumptions, Plenitude is reasonably probable a priori, but in principle it can be (and plausibly it has been) empirically disconfirmed—not by any general qualitative evidence, but rather by our de re evidence.
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TODA, Kyoko, Seiichi ISHIDA, Kotoko NAKATA, et al. "Test of Significant Differences with a priori Probability in Microarray Experiments." Analytical Sciences 19, no. 11 (2003): 1529–35. http://dx.doi.org/10.2116/analsci.19.1529.

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Kalaylioglu, Zeynep, and Haydar Demirhan. "A joint Bayesian approach for the analysis of response measured at a primary endpoint and longitudinal measurements." Statistical Methods in Medical Research 26, no. 6 (2015): 2885–96. http://dx.doi.org/10.1177/0962280215615003.

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Joint mixed modeling is an attractive approach for the analysis of a scalar response measured at a primary endpoint and longitudinal measurements on a covariate. In the standard Bayesian analysis of these models, measurement error variance and the variance/covariance of random effects are a priori modeled independently. The key point is that these variances cannot be assumed independent given the total variation in a response. This article presents a joint Bayesian analysis in which these variance terms are a priori modeled jointly. Simulations illustrate that analysis with multivariate varian
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Brezmes, Teófilo, and Pedro Gil. "Incertidumbre (informacion a priori) condicionada por una experiencia." Trabajos de Estadistica Y de Investigacion Operativa 36, no. 3 (1985): 55–69. http://dx.doi.org/10.1007/bf02888541.

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Wang, Lei, Xu Zhao, and Yuncai Liu. "Reduce false positives for object detection by a priori probability in videos." Neurocomputing 208 (October 2016): 325–32. http://dx.doi.org/10.1016/j.neucom.2016.03.082.

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Dissertations / Theses on the topic "A priori probability"

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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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Smith, Stefan Thor. "Modelling thermal loads for a non-domestic building stock : associating a priori probability with building form and construction : using building control laws and regulations." Thesis, University of Nottingham, 2009. http://eprints.nottingham.ac.uk/10895/.

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Building Energy Assessment at stock level is an important task in identifying the best strategies for achieving a more energy efficient and low carbon society. Non-domestic buildings are identified to make up 17% of total energy consumption in England and Wales and 19% of CO2 emissions. To understand the energy requirement of the non-domestic stock, large scale (empirically based) energy surveying has been carried out namely in the Non-Domestic Building Stock project and Carbon Reductions in Buildings project. It is recognised that building energy surveys are difficult to carry out; expensive
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Liczbinski, Celso Antonio. "Classificação de dados imagens em alta dimensionalidade, empregando amostras semi-rotuladas e estimadores para as probabilidades a priori." reponame:Biblioteca Digital de Teses e Dissertações da UFRGS, 2007. http://hdl.handle.net/10183/12014.

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Em cenas naturais, ocorrem com certa freqüência classes espectralmente muito similares, isto é, os vetores média são muito próximos. Em situações como esta dados de baixa dimensionalidade (LandSat-TM, Spot) não permitem uma classificação acurada da cena. Por outro lado, sabe-se que dados em alta dimensionalidade tornam possível a separação destas classes, desde que as matrizes covariância sejam suficientemente distintas. Neste caso, o problema de natureza prática que surge é o da estimação dos parâmetros que caracterizam a distribuição de cada classe. Na medida em que a dimensionalidade dos da
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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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Elfverson, Daniel. "Multiscale Methods and Uncertainty Quantification." Doctoral thesis, Uppsala universitet, Avdelningen för beräkningsvetenskap, 2015. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-262354.

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In this thesis we consider two great challenges in computer simulations of partial differential equations: multiscale data, varying over multiple scales in space and time, and data uncertainty, due to lack of or inexact measurements. We develop a multiscale method based on a coarse scale correction, using localized fine scale computations. We prove that the error in the solution produced by the multiscale method decays independently of the fine scale variation in the data or the computational domain. We consider the following aspects of multiscale methods: continuous and discontinuous underlyi
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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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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 "A priori probability"

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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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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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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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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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Hasan, Ali. In Defense of Rationalism about Abductive Inference. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780198746904.003.0010.

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Laurence BonJour and more recently James Beebe have argued that the best way to defend the claim that abduction or inference to the best explanation is epistemically justified is the rationalist view that it is justified a priori. However, rationalism about abduction faces a number of challenges. This chapter focuses on one particular, highly influential objection, that there is no interpretation of probability available which is compatible with rationalism about abduction. The rationalist who wants to maintain a strong connection between epistemic justification and probability would do best t
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Probability Matching Priors: Higher Order Asymptotics. Springer, 2004.

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Sklar, Lawrence. Causation in Statistical Mechanics. Edited by Helen Beebee, Christopher Hitchcock, and Peter Menzies. Oxford University Press, 2010. http://dx.doi.org/10.1093/oxfordhb/9780199279739.003.0033.

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In statistical mechanics causation appears at the micro-level as the postulation that the full state of a system at one time can be specified by the dynamical state of all its micro-constituents (the positions and momenta of the molecules in a gas or, alternatively the wave function of these at one time), and that this state at one time generates, following the laws of dynamics (classical or quantum) the future dynamical state of the system characterized in these micro-constituent terms. So what is ‘non-causal’ in nature in explanations in statistical mechanics? This article explores two issue
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Book chapters on the topic "A priori probability"

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Hutter, Marcus. "An Open Problem Regarding the Convergence of Universal A Priori Probability." In Learning Theory and Kernel Machines. Springer Berlin Heidelberg, 2003. http://dx.doi.org/10.1007/978-3-540-45167-9_58.

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Stöltzner, Michael. "Shifting the (Non-Relativized) A Priori: Hans Reichenbach on Causality and Probability (1915–1932)." In Explanation, Prediction, and Confirmation. Springer Netherlands, 2011. http://dx.doi.org/10.1007/978-94-007-1180-8_31.

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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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Conference papers on the topic "A priori probability"

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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, Yang, Aimin Zhou, and Guixu Zhang. "A probability model based evolutionary algorithm with priori and posteriori knowledge for multiobjective knapsack problems." In 2014 11th World Congress on Intelligent Control and Automation (WCICA). IEEE, 2014. http://dx.doi.org/10.1109/wcica.2014.7052912.

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Filho, Mario Pezzi, Jose´ Luiz de Franc¸a Freire, and Fa´bio de Castro Marangone. "Application of Risk Based Inspection Methodology of API 581 BRD to Oil Pipelines." In 2004 International Pipeline Conference. ASMEDC, 2004. http://dx.doi.org/10.1115/ipc2004-0415.

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This study focuses on the calculation procedure of probability of failure according to the API 581 BRD RBI methodology for equipment under uniform or localized corrosion. This calculation procedure was applied to the data available from three existing oil pipelines to know a priori the influence of frequency and effectiveness of inspection activities on the probability of failure, and consequently, on the risk exposure they might be subjected along their remaining operating life. The results show that if the confidence on the damage rate and on the inspection effectiveness is known it is possi
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Ferrero, Alessandro, Simona Salicone, and Harsha Vardhana Jetti. "Bayesian approach to uncertainty evaluation: is it always working?" In 19th International Congress of Metrology (CIM2019), edited by Sandrine Gazal. EDP Sciences, 2019. http://dx.doi.org/10.1051/metrology/201916002.

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Since the GUM has been published, measurement uncertainty has been defined in terms of the standard deviation of the probability distribution of the values that can be reasonably attributed to the measurand, and it has been evaluated using statistical or probabilistic methods. A debate has always been alive, among the metrologists, on whether a frequentist approach or a Bayesian approach should be followed to evaluate uncertainty. The Bayesian approach, based on some available a-priori knowledge about the measurand seems to prevail, nowadays. This paper starts from the consideration that the B
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Cardelli, Luca, Marta Kwiatkowska, Luca Laurenti, Nicola Paoletti, Andrea Patane, and Matthew Wicker. "Statistical Guarantees for the Robustness of Bayesian Neural Networks." In Twenty-Eighth International Joint Conference on Artificial Intelligence {IJCAI-19}. International Joint Conferences on Artificial Intelligence Organization, 2019. http://dx.doi.org/10.24963/ijcai.2019/789.

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We introduce a probabilistic robustness measure for Bayesian Neural Networks (BNNs), defined as the probability that, given a test point, there exists a point within a bounded set such that the BNN prediction differs between the two. Such a measure can be used, for instance, to quantify the probability of the existence of adversarial examples. Building on statistical verification techniques for probabilistic models, we develop a framework that allows us to estimate probabilistic robustness for a BNN with statistical guarantees, i.e., with a priori error and confidence bounds. We provide experi
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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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Steinwolf, Alexander. "Identification of the Polyharmonic Vibration From Combination With a Normal Random Noise by the Use of High-Order Moments of Instantaneous-Value Distribution." In ASME 1995 Design Engineering Technical Conferences collocated with the ASME 1995 15th International Computers in Engineering Conference and the ASME 1995 9th Annual Engineering Database Symposium. American Society of Mechanical Engineers, 1995. http://dx.doi.org/10.1115/detc1995-0677.

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Abstract Polyharmonic oscillation with multiple frequencies is inherent in many applied problems. However, it rarely exists in the pure form and is often accompanied by a random vibration. Separation of the periodic signal from the actual record measured is usually restricted to determining the harmonic amplitudes only. The paper presents a method for complete identification of polyharmonic process including the phase angles that were unattainable when its period is unknown a priori. The approach is based on the fact that the presence of a periodic component transforms the instantaneous-value
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Do, Virginie, Jamal Atif, Jérôme Lang, and Nicolas Usunier. "Online Selection of Diverse Committees." In Thirtieth International Joint Conference on Artificial Intelligence {IJCAI-21}. International Joint Conferences on Artificial Intelligence Organization, 2021. http://dx.doi.org/10.24963/ijcai.2021/22.

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Citizens' assemblies need to represent subpopulations according to their proportions in the general population. These large committees are often constructed in an online fashion by contacting people, asking for the demographic features of the volunteers, and deciding to include them or not. This raises a trade-off between the number of people contacted (and the incurring cost) and the representativeness of the committee. We study three methods, theoretically and experimentally: a greedy algorithm that includes volunteers as long as proportionality is not violated; a non-adaptive method that in
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Okano, Yasushi, and Hidemasa Yamano. "Sensitivity Study on Forest Fire Breakout and Propagation Conditions for Forest Fire Hazard Curve Evaluations." In 2016 24th International Conference on Nuclear Engineering. American Society of Mechanical Engineers, 2016. http://dx.doi.org/10.1115/icone24-60047.

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The authors have developed a probabilistic risk assessment method on a forest fire as one of external hazards. A hazard curve by heat effect of a forest fire had been obtained by using a logic tree in our previous study. The main application target of the forest fire probabilistic risk assessment is for sodium-cooled fast reactor systems. Databases for a hazard curve evaluation were based on forest fire records, meteorological and vegetation data of a studied area which is near a typical sodium-cooled fast reactor in Japan. There are two intensity parameters of heat effect of a forest fire, na
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Lipowsky, Holger, Stephan Staudacher, Daniel Nagy, and Michael Bauer. "Gas Turbine Fault Diagnostics Using a Fusion of Least Squares Estimations and Fuzzy Logic Rules." In ASME Turbo Expo 2008: Power for Land, Sea, and Air. ASMEDC, 2008. http://dx.doi.org/10.1115/gt2008-50190.

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This paper presents a method to improve the process of gas turbine diagnosis in case of a single fault event by calculating both deviations of performance parameters from their nominal values and fault probabilities. The approach is based on a thermodynamic model of the monitored gas turbine that is used to generate an Influence-Coefficient-Matrix (ICM) describing the gas turbine’s behaviour at the desired operating point in a linearised form. The ICM is used to calculate deviations of performance parameters by least squares estimation. As it is not known a priori how many components are affec
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Reports on the topic "A priori probability"

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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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