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Rozprawy doktorskie na temat „Bayesian rules”

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Data publikacji: 3 czerwca 2025

Data aktualizacji: 31 lipca 2025

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1

Dellaportas, Petros. "Imbedded integration rules and their applications in Bayesian analysis." Thesis, University of Plymouth, 1990. http://hdl.handle.net/10026.1/2067.

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This thesis deals with the development and application of numerical integration techniques for use in Bayesian Statistics. In particular, it describes how imbedded sequences of positive interpolatory integration rules (PIIR's) obtained from Gauss-Hermite product rules can extend the applicability and efficiency of currently available numerical methods. The numerical strategy suggested by Naylor and Smith (1982) is reviewed, criticised and applied to some examples with real and artificial data. The performance of this strategy is assessed from the viewpoint of 3 criteria: reliability, efficienc

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Huszár, Ferenc. "Scoring rules, divergences and information in Bayesian machine learning." Thesis, University of Cambridge, 2013. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.648333.

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Nalenz, Malte. "Horseshoe RuleFit : Learning Rule Ensembles via Bayesian Regularization." Thesis, Linköpings universitet, Statistik, 2016. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-130249.

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This work proposes Hs-RuleFit, a learning method for regression and classiﬁcation, which combines rule ensemble learning based on the RuleFit algorithm with Bayesian regularization through the horseshoe prior. To this end theoretical properties and potential problems of this combination are studied. A second step is the implementation, which utilizes recent sampling schemes to make the Hs-RuleFit computationally feasible. Additionally, changes to the RuleFit algorithm are proposed such as Decision Rule post-processing and the usage of Decision rules generated via Random Forest. Hs-RuleFit addr

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Beltran, Daniel O. "Model uncertainty and the design of robust monetary policy rules in a small open economy : a Bayesian approach /." Diss., Digital Dissertations Database. Restricted to UC campuses, 2007. http://uclibs.org/PID/11984.

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Crespo, Cuaresma Jesus, Bettina Grün, Paul Hofmarcher, Stefan Humer, and Mathias Moser. "A Comprehensive Approach to Posterior Jointness Analysis in Bayesian Model Averaging Applications." WU Vienna University of Economics and Business, 2015. http://epub.wu.ac.at/4493/1/wp193.pdf.

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Posterior analysis in Bayesian model averaging (BMA) applications often includes the assessment of measures of jointness (joint inclusion) across covariates. We link the discussion of jointness measures in the econometric literature to the literature on association rules in data mining exercises. We analyze a group of alternative jointness measures that include those proposed in the BMA literature and several others put forward in the field of data mining. The way these measures address the joint exclusion of covariates appears particularly important in terms of the conclusions that can be dr

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6

Paranhos, Lívia Silva. "Computing optimal and realised monetary policy rules for Brazil : a markov-switching dsge approach." reponame:Biblioteca Digital de Teses e Dissertações da UFRGS, 2017. http://hdl.handle.net/10183/178167.

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A evolução da economia brasileira durante os primeiros anos do século XXI é examinada através de um modelo microfundamentado de uma pequena economia aberta, permitindo mudanças no comportamento do Banco Central do Brasil, no parâmetro de rigidez nominal e na volatilidade dos choques estruturais. Mesmo os resultados não sendo conclusivos a respeito da presença de mudanças de regime durante o período analisado, encontramos evidências de troca de regime no âmbito da política monetária, passando em 2003 de um regime Dove para um regime Hawk, assim como evidências de choques externos mais voláteis

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7

Kulhavý, Lukáš. "Praktické uplatnění technologií data mining ve zdravotních pojišťovnách." Master's thesis, Vysoká škola ekonomická v Praze, 2010. http://www.nusl.cz/ntk/nusl-77726.

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This thesis focuses on data mining technology and its possible practical use in the field of health insurance companies. Thesis defines the term data mining and its relation to the term knowledge discovery in databases. The term data mining is explained, inter alia, with methods describing the individual phases of the process of knowledge discovery in databases (CRISP-DM, SEMMA). There is also information about possible practical applications, technologies and products available in the market (both products available free and commercial products). Introduction of the main data mining methods a

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8

Sun, Qi. "Four essays in dynamic macroeconomics." Thesis, St Andrews, 2010. http://hdl.handle.net/10023/941.

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Agli, Hamza. "Raisonnement incertain pour les règles métier." Thesis, Paris 6, 2017. http://www.theses.fr/2017PA066129/document.

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Nous étudions dans cette thèse la gestion des incertitudes au sein des systèmes à base de règles métier orientés objet (Object-Oriented Business Rules Management Systems ou OO-BRMS) et nous nous intersessions à des approches probabilistes. Afin de faciliter la modélisation des distributions de probabilités dans ces systèmes, nous proposons d'utiliser les modèles probabilistes relationnels (Probabilistic Relational Models ou PRM), qui sont une extension orientée objet des réseaux bayésiens. Lors de l'exploitation des OO-BRMS, les requêtes adressées aux PRM sont nombreuses et les réponses doiven

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De, Kock Michiel Burger. "From stable priors to maximum Bayesian evidence via a generalised rule of succession." Thesis, Stellenbosch : Stellenbosch University, 2014. http://hdl.handle.net/10019.1/86545.

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Thesis (PhD)--Stellenbosch University, 2014.<br>ENGLISH ABSTRACT: We investigate the procedure of assigning probabilities to logical statements. The simplest case is that of equilibrium statistical mechanics and its fundamental assumption of equally likely states. Rederiving the formulation led us to question the assumption of logical independence inherent to the construction and speci cally its inability to update probability when data becomes available. Consequently we replace the assumption of logical independence with De Finetti's concept of exchangeability. To use the corresponding

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11

Mézl, Martin. "Pokročilé dolování v datech v kardiologii." Master's thesis, Vysoké učení technické v Brně. Fakulta elektrotechniky a komunikačních technologií, 2009. http://www.nusl.cz/ntk/nusl-217971.

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The aim of this master´s thesis is to analyse and search unusual dependencies in database of patients from Internal Cardiology Clinic Faculty Hospital Brno. The part of the work is theoretical overview of common data mining methods used in medicine, especially decision trees, naive Bayesian classifier, artificial neural networks and association rules. Looking for unusual dependencies between atributes is realized by association rules and naive Bayesian classifier. The output of this work is a complex system for Knowledge discovery in databases process for any data set. This work was realized w

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12

Agli, Hamza. "Raisonnement incertain pour les règles métier." Electronic Thesis or Diss., Paris 6, 2017. http://www.theses.fr/2017PA066129.

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Nous étudions dans cette thèse la gestion des incertitudes au sein des systèmes à base de règles métier orientés objet (Object-Oriented Business Rules Management Systems ou OO-BRMS) et nous nous intersessions à des approches probabilistes. Afin de faciliter la modélisation des distributions de probabilités dans ces systèmes, nous proposons d'utiliser les modèles probabilistes relationnels (Probabilistic Relational Models ou PRM), qui sont une extension orientée objet des réseaux bayésiens. Lors de l'exploitation des OO-BRMS, les requêtes adressées aux PRM sont nombreuses et les réponses doiven

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13

Dawson, Colin Reimer. ""Explaining-Away" Effects in Rule-Learning: Evidence for Generative Probabilistic Inference in Infants and Adults." Diss., The University of Arizona, 2011. http://hdl.handle.net/10150/145270.

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The human desire to explain the world is the driving force behind our species' rich history of scientific and technological advancement. The ability of successive generations to build cumulatively on the scientific progress made by their ancestors rests on the ability of individual minds to rapidly assimilate the explanatory models developed by those who came before. But is this explanatory, model-based way of thinking limited to deliberate, conscious cognition, with the larger, unconscious portion of the workings of the mind dependent on simpler mechanisms of association and prediction, or

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14

Tully, Philip. "Spike-Based Bayesian-Hebbian Learning in Cortical and Subcortical Microcircuits." Doctoral thesis, KTH, Beräkningsvetenskap och beräkningsteknik (CST), 2017. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-205568.

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Cortical and subcortical microcircuits are continuously modified throughout life. Despite ongoing changes these networks stubbornly maintain their functions, which persist although destabilizing synaptic and nonsynaptic mechanisms should ostensibly propel them towards runaway excitation or quiescence. What dynamical phenomena exist to act together to balance such learning with information processing? What types of activity patterns do they underpin, and how do these patterns relate to our perceptual experiences? What enables learning and memory operations to occur despite such massive and cons

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15

Ndour, Cheikh. "Modélisation statistique de la mortalité maternelle et néonatale pour l'aide à la planification et à la gestion des services de santé en Afrique Sub-Saharienne." Phd thesis, Université de Pau et des Pays de l'Adour, 2014. http://tel.archives-ouvertes.fr/tel-00996996.

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L'objectif de cette thèse est de proposer une méthodologie statistique permettant de formuler une règle de classement capable de surmonter les difficultés qui se présentent dans le traitement des données lorsque la distribution a priori de la variable réponse est déséquilibrée. Notre proposition est construite autour d'un ensemble particulier de règles d'association appelées "class association rules". Dans le chapitre II, nous avons exposé les bases théoriques qui sous-tendent la méthode. Nous avons utilisé les indicateurs de performance usuels existant dans la littérature pour évaluer un clas

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16

Olid, Pilar. "Making Models with Bayes." CSUSB ScholarWorks, 2017. https://scholarworks.lib.csusb.edu/etd/593.

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Bayesian statistics is an important approach to modern statistical analyses. It allows us to use our prior knowledge of the unknown parameters to construct a model for our data set. The foundation of Bayesian analysis is Bayes' Rule, which in its proportional form indicates that the posterior is proportional to the prior times the likelihood. We will demonstrate how we can apply Bayesian statistical techniques to fit a linear regression model and a hierarchical linear regression model to a data set. We will show how to apply different distributions to Bayesian analyses and how the use of a pri

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17

Boshoff, Willem Hendrik. "Conceptual and empirical advances in antitrust market definition with application to South African competition policy." Thesis, Stellenbosch : Stellenbosch University, 2011. http://hdl.handle.net/10019.1/18020.

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Thesis (PhD)--Stellenbosch University, 2011.<br>ENGLISH ABSTRACT: Delineating the relevant product and geographic market is an important first step in competition inquiries, as it permits an assessment of market power and substitutability. Critics often argue that market definition is arbitrary and increasingly unnecessary, as modern econometric models can directly predict the competitive effects of a merger or anti-competitive practice. Yet practical constraints (such as limited data) and legal considerations (such as case law precedence) continue to support a formal definition of the re

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18

Lin, Chung-Ching. "Detecting and tracking moving objects from a moving platform." Diss., Georgia Institute of Technology, 2012. http://hdl.handle.net/1853/49014.

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Detecting and tracking moving objects are important topics in computer vision research. Classical methods perform well in applications of steady cameras. However, these techniques are not suitable for the applications of moving cameras because the unconstrained nature of realistic environments and sudden camera movement makes cues to object positions rather fickle. A major difficulty is that every pixel moves and new background keeps showing up when a handheld or car-mounted camera moves. In this dissertation, a novel estimation method of camera motion parameters will be discussed first. Based

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19

Zhao, Mingjun. "Essays on model uncertainty in macroeconomics." Columbus, Ohio : Ohio State University, 2006. http://rave.ohiolink.edu/etdc/view?acc%5Fnum=osu1153244452.

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20

Hložek, Bohuslav. "Bayesovské a neuronové sítě." Master's thesis, Vysoké učení technické v Brně. Fakulta informačních technologií, 2017. http://www.nusl.cz/ntk/nusl-363836.

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This paper introduces Bayesian neural network based on Occams razor. Basic knowledge about neural networks and Bayes rule is summarized in the first part of this paper. Principles of Occams razor and Bayesian neural network are explained. A real case of use is introduced (about predicting landslide). The second part of this paper introduces how to construct Bayesian neural network in Python. Such an application is shown. Typical behaviour of Bayesian neural networks is demonstrated using example data.

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21

Žďárská, Zuzana. "Stategické rozhodování o investičním projektu." Master's thesis, Vysoké učení technické v Brně. Fakulta podnikatelská, 2010. http://www.nusl.cz/ntk/nusl-222405.

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Diplomová práce "Strategické rozhodování o investičním projektu Kasárna Slatina" je zaměřena na využití metod rozhodovací analýzy při řešení rozhodovacího problému v rámci revitalizace armádního brownfield Kasárna Slatina. V teoretické části je vysvětlena základní terminologie, metody a postupy, které se vztahují k problematice řešeného rozhodovacího problému. V praktické části je řešeno závažné strategické rozhodnutí spojené s otázkou rozvoje konkrétní brněnské lokality. Na základě použitých postupů je v souladu s rozhodovací metodikou navrženo optimální rozhodnutí.

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Alkadi, Alaa. "Anomaly Detection in RFID Networks." UNF Digital Commons, 2017. https://digitalcommons.unf.edu/etd/768.

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Available security standards for RFID networks (e.g. ISO/IEC 29167) are designed to secure individual tag-reader sessions and do not protect against active attacks that could also compromise the system as a whole (e.g. tag cloning or replay attacks). Proper traffic characterization models of the communication within an RFID network can lead to better understanding of operation under “normal” system state conditions and can consequently help identify security breaches not addressed by current standards. This study of RFID traffic characterization considers two piecewise-constant data smoothing

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Likwornik, Helena. "Bayes Rules: A Bayesian-Intuit Approach to Legal Evidence." Thesis, 2011. http://hdl.handle.net/1807/32076.

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The law too often avoids or misuses statistical evidence. This problem is partially explained by the absence of a shared normative framework for working with such evidence. There is considerable disagreement within the legal community about how statistical evidence relates to legal inquiry. It is proposed that the first step to addressing the problem is to accept Bayesianism as a normative framework that leads to outcomes that largely align with legal intuitions. It is only once this has been accepted that we can proceed to encourage education about common conceptual errors involving stati

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Luna, Bazaldua Diego A. "Exploring Skill Condensation Rules for Cognitive Diagnostic Models in a Bayesian Framework." Thesis, 2015. https://doi.org/10.7916/D8NP247C.

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Diagnostic paradigms are becoming an alternative to normative approaches in educational assessment. One of the principal objectives of diagnostic assessment is to determine skill proficiency for tasks that demand the use of specific cognitive processes. Ideally, diagnostic assessments should include accurate information about the skills required to correctly answer each item in a test, as well as any additional evidence about the interaction between those cognitive constructs. Nevertheless, little research in the field has focused on the types of interactions (i.e., the condensation rules) amo

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25

von, Sydow Momme. "Towards a Flexible Bayesian and Deontic Logic of Testing Descriptive and Prescriptive Rules." Doctoral thesis, 2006. http://hdl.handle.net/11858/00-1735-0000-0006-AC29-9.

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Liao, Shuang-De, and 廖雙德. "A Bayesian Framework for Improving Clustering Accuracy of Protein Sequences Based on Association Rules." Thesis, 2004. http://ndltd.ncl.edu.tw/handle/369xc6.

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碩士<br>銘傳大學<br>資訊工程學系碩士班<br>92<br>With the advent of new sequencing technology for biological data, the number of sequenced proteins stored in public database has become an explosion. The functional analysis of protein sequences should be expedited through computer process. With the application of clustering algorithm, similar protein sequences can be arranged in a cluster. This process not only simplifies the analysis task but also enhances the accuracy of the results. Most of the existing protein clustering algorithms compute the similarity between proteins based on one-to-one pairwise sequen

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Haque, Qazi G. M. Ziaul. "Bayesian estimation of monetary DSGE models and testing for indeterminacy." Thesis, 2018. http://hdl.handle.net/2440/114258.

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This thesis consists of three self-contained papers on U.S. monetary policy. The first paper examines monetary policy in the early 2000s, a prolonged period of low interest rates for which the efficacy of policy is intensely debated. Through the lens of an estimated simple New Keynesian (NK) model, the paper finds that when measuring inflation using headline CPI, the Federal Reserve's response to inflation turns out to be passive, therefore implying indeterminacy. Only when measuring inflation using core PCE does monetary policy appear to have been sufficiently active to rule out in

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Cheng, Chung-Shan, and 鄭重山. "An Empirical Comparative Study of Heuristics for Modifying The Inconsistency between Priors and Inference Rules of A Bayesian Network." Thesis, 2000. http://ndltd.ncl.edu.tw/handle/26743941472249548667.

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碩士<br>國立清華大學<br>工業工程與工程管理學系<br>88<br>Abstract The Bayesian Network is a probabilistic graphical model in which a problem is structured as a set of parameters and probabilistic relationships among them. That is, a Bayesian Network for the domain represents a joint probability distribution over those variables. It has been used to effectively incorporate the expert knowledge and the historical data for updating the prior belief in the light of new evidence in many fields. However, few researchers have studied the comparison of different methods for resolving the inconsisten

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Carvalho, Arthur. "Sharing Rewards Based on Subjective Opinions." Thesis, 2010. http://hdl.handle.net/10012/5333.

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Fair division is the problem of dividing one or several goods among a set of agents in a way that satisfies a suitable fairness criterion. Traditionally studied in economics, philosophy, and political science, fair division has drawn a lot of attention from the multiagent systems community, since this field is strongly concerned about how a surplus (or a cost) should be divided among a group of agents. Arguably, the Shapley value is the single most important contribution to the problem of fair division. It assigns to each agent a share of the resource equal to the expected marginal contribu

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Sydow, Momme von [Verfasser]. "Towards a flexible Bayesian and deontic logic of testing descriptive and prescriptive rules : explaining content effects in the Wason selection task / vorgelegt von Momme von Sydow." 2006. http://d-nb.info/982092849/34.

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Shu, Liu Cheng, and 劉丞書. "Information Cascades and Bayesian Rule --experiment research." Thesis, 2003. http://ndltd.ncl.edu.tw/handle/76562033414343126428.

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碩士<br>東吳大學<br>經濟學系<br>91<br>This paper report a information cascades experiment based on Anderson and Holt (1997) treatment with BDM mechanism which subjects have to submit minimum prices that they are willng to accept to sell the prediction game. And we implement this experiment in two treatment . Subjects receive a sequence of urn predictions taken by real people in the first treatment and they are told that all previous predictions were taken rationally in the second treatment. We try to taste two questions：(1) Does urn predictions which follows theoretical expectations imply Bayesian infer

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WU, SZU-YI, and 吳思怡. "Using Bayesian Network and Association Rule for Product Rcommendation." Thesis, 2006. http://ndltd.ncl.edu.tw/handle/52321333868039065579.

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碩士<br>輔仁大學<br>資訊管理學系<br>94<br>More and more corporations are marketing various kinds of products or services through websites in recent years. Their customers can search for information or shop at any time and places through Internet. Due to the immediate purchasing motivation of customers in Internet after being attracted to web advertising, the impulsive purchasing behavior will happen more easily. Hence, if we can actively recommend the products that customers like as they visit our website, companies can not only reduce the customers' efforts when searching for much product information but

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Chou, Wen-Ching, and 周玟菁. "Bayesian Sampling Plans for Type I Censored Data with anEarly Decision Rule." Thesis, 2009. http://ndltd.ncl.edu.tw/handle/64511768823854290766.

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碩士<br>淡江大學<br>統計學系碩士班<br>97<br>The thesis introduces an early decision rule to the design of Bayesian sampling plans for the exponential distribution with type I censoring. Using the proposed early decision rule, a Bayesian decision could be reached before the censoring time. An algorithm for implementing an early Bayesian decision is provided. Two examples are used for illustrating the proposed method. An intensive simulation study is conducted, and performance of the proposed early decision rule is evaluated numerically. Numerical results show that the proposed method is easy to operate and

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Chuang, Ming-Chi, and 莊銘棋. "Bayesian Sampling Plans for Type II Censored Data with anEarly Acceptance Decision Rule." Thesis, 2009. http://ndltd.ncl.edu.tw/handle/18644636514508147105.

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碩士<br>淡江大學<br>統計學系碩士班<br>97<br>In this thesis, an early acceptance decision rule is considered to establish the Bayesian sampling scheme for type II censored exponential data. Algorithms are provided to determine the optimal Bayesian sampling plans with an early acceptance decision rule. Numerical results indicate that the proposed early acceptance decision rule helps to shorten the experimental time of a life test. Moreover, an example is used to illustrate the application of the proposed method. 表單編號：ATRX-Q03-001-FM031-01

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Bobo, Matthew Raymond. "Incorporation of categorical ancillary data into multispectral image classifications using a modified Bayesian desicison rule." 1997. http://catalog.hathitrust.org/api/volumes/oclc/37427683.html.

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Thesis (M.S.)--University of Wisconsin--Madison, 1997.<br>Typescript. eContent provider-neutral record in process. Description based on print version record. Includes bibliographical references (leaves 137-142).

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Pennello, Gene A. "Multiple comparisons for the balanced two-way factorial : an applied Bayes rule (k-ratio) approach." Thesis, 1993. http://hdl.handle.net/1957/35651.

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Vijaya, Raghavan Sindhu. "Bayesian Logic Programs for plan recognition and machine reading." 2012. http://hdl.handle.net/2152/19544.

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Several real world tasks involve data that is uncertain and relational in nature. Traditional approaches like first-order logic and probabilistic models either deal with structured data or uncertainty, but not both. To address these limitations, statistical relational learning (SRL), a new area in machine learning integrating both first-order logic and probabilistic graphical models, has emerged in the recent past. The advantage of SRL models is that they can handle both uncertainty and structured/relational data. As a result, they are widely used in domains like social network analysis, biolo

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Lin, Zhong Rong, and 林忠融. "The sequential F-test, a bayesian rule and a loss proportion for estimating smoothness of spline function." Thesis, 1994. http://ndltd.ncl.edu.tw/handle/89399391190818372300.

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Chou, Shih-Cheng, and 丘世健. "The Cross-Validation of Cluster and Discrimination Analysis And the Study of Bayesian Decision Rule - Businesses Groups Case." Thesis, 1996. http://ndltd.ncl.edu.tw/handle/24510461932664438329.

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Son, Jong Chil. "Essays on monetary policy and asset prices." 2008. http://hdl.handle.net/1969.1/ETD-TAMU-2008-12-176.

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The recent financial and economic turmoil driven by housing market has led the economists to refocus on the issue about monetary policy and asset price, especially housing price. In this dissertation I investigate the various relationships between monetary policy and asset prices in U.S. economy through steady state Bayesian VAR (SS BVAR) and revised Taylor-typed interest rate rule (Forward-looking rule) based on Generalized Method of Moments (GMM) methodology. In chapter II, steady state Bayesian VAR (SS BVAR) methodology is introduced and multi step-ahead forecasts are executed. Upon usual s

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Tuyl, Frank Adrianus Wilhelmus Maria. "Estimation of the Binomial parameter: in defence of Bayes (1763)." Thesis, 2007. http://hdl.handle.net/1959.13/25730.

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Research Doctorate - Doctor of Philosophy (PhD)<br>Interval estimation of the Binomial parameter è, representing the true probability of a success, is a problem of long standing in statistical inference. The landmark work is by Bayes (1763) who applied the uniform prior to derive the Beta posterior that is the normalised Binomial likelihood function. It is not well known that Bayes favoured this ‘noninformative’ prior as a result of considering the observable random variable x as opposed to the unknown parameter è, which is an important difference. In this thesis we develop additional argument

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Tuyl, Frank Adrianus Wilhelmus Maria. "Estimation of the Binomial parameter: in defence of Bayes (1763)." 2007. http://hdl.handle.net/1959.13/25730.

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Research Doctorate - Doctor of Philosophy (PhD)<br>Interval estimation of the Binomial parameter è, representing the true probability of a success, is a problem of long standing in statistical inference. The landmark work is by Bayes (1763) who applied the uniform prior to derive the Beta posterior that is the normalised Binomial likelihood function. It is not well known that Bayes favoured this ‘noninformative’ prior as a result of considering the observable random variable x as opposed to the unknown parameter è, which is an important difference. In this thesis we develop additional argument

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