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Wyświetlanie 1-15 z 322
Tytuł:
Cycles in Bayesian Networks
Autorzy:
Shayakhmetova, Assem
Litvinenko, Natalya
Mamyrbayev, Orken
Wójcik, Waldemar
Zhamangarin, Dusmat
Powiązania:
https://bibliotekanauki.pl/articles/1844619.pdf
Data publikacji:
2021
Wydawca:
Polska Akademia Nauk. Czytelnia Czasopism PAN
Tematy:
Bayesian networks
directed graphs
directed cycles
propagation
Bayesian evidence
Opis:
The article is devoted to some critical problems of using Bayesian networks for solving practical problems, in which graph models contain directed cycles. The strict requirement of the acyclicity of the directed graph representing the Bayesian network does not allow to efficiently solve most of the problems that contain directed cycles. The modern theory of Bayesian networks prohibits the use of directed cycles. The requirement of acyclicity of the graph can significantly simplify the general theory of Bayesian networks, significantly simplify the development of algorithms and their implementation in program code for calculations in Bayesian networks.
Źródło:
International Journal of Electronics and Telecommunications; 2021, 67, 2; 181-186
2300-1933
Pojawia się w:
International Journal of Electronics and Telecommunications
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
BAYESIAN APPROACH TO THE PROCESS OF IDENTIFICATION OF THE DETERMINANTS OF INNOVATIVENESS
Autorzy:
Czyżewska, Marta
Mroczek, Teresa
Powiązania:
https://bibliotekanauki.pl/articles/599472.pdf
Data publikacji:
2014
Wydawca:
Wyższa Szkoła Informatyki i Zarządzania z siedzibą w Rzeszowie
Tematy:
Bayesian approach
determinants
innovativeness
Opis:
Bayesian belief networks are applied in determining the most important factors of the innovativeness level of national economies. The paper is divided into two parts. The first presentsthe basic theory of Bayesian networks whereas in the second, the belief networks have been generated by an inhouse developed computer system called BeliefSEEKER which was implemented to generate the determinants influencing the innovativeness level of national economies.Qualitative analysis of the generated belief networks provided a way to define a set of the most important dimensions influencing the innovativeness level of economies and then the indicators that form these dimensions. It has been proven that Bayesian networks are very effective methods for multidimensional analysis and forming conclusions and recommendations regarding the strength of each innovative determinant influencing the overall performance of a country’s economy.
Źródło:
Finansowy Kwartalnik Internetowy e-Finanse; 2014, 10, 2; 44-56
1734-039X
Pojawia się w:
Finansowy Kwartalnik Internetowy e-Finanse
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Cyclic Bayesian Network : Markov Process Approach
Autorzy:
Kłopotek, M. A.
Powiązania:
https://bibliotekanauki.pl/articles/92928.pdf
Data publikacji:
2006
Wydawca:
Uniwersytet Przyrodniczo-Humanistyczny w Siedlcach
Tematy:
Bayesian networks
Markov process
Opis:
The paper proposes a new interpretation of the concept of cyclic Bayesian Networks, based on stationary Markov processes over feature vector state transitions.
Źródło:
Studia Informatica : systems and information technology; 2006, 1(7); 47-55
1731-2264
Pojawia się w:
Studia Informatica : systems and information technology
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Robust Bayesian Prediction with Asymmetric Loss Function in Poisson Model of Insurance Risk
Odporna predykcja bayesowska przy asymetrycznej funkcji straty w modelu Poissona dla ryzyka ubezpieczeniowego
Autorzy:
Boratyńska, Agata
Powiązania:
https://bibliotekanauki.pl/articles/905699.pdf
Data publikacji:
2006
Wydawca:
Uniwersytet Łódzki. Wydawnictwo Uniwersytetu Łódzkiego
Tematy:
Bayesian prediction
Bayesian robustness
LINEX loss
family of priors
collective risk model
Opis:
In robust Bayesian analysis a prior is assumed to belong to a family instead of being specified exactly. The multiplicity of priors leads to a collection of Bayes actions. It is clearly essential to be able to recommend one action (estimate, predictor) from this set. We consider the problem of robust Bayesian prediction of a Poisson random variable under LINEX loss. Some uncertainty about the prior is assumed by introducing three classes of conjugate priors. The conditional Г-minimax predictors and posterior regret Г-minimax predictors are constructed. The application to the collective risk model is presented.
W odpornej analizie bayesowskiej rozkład a priori nie jest dokładnie wyznaczony, ale należy do pewnej rodziny Г rozkładów a priori. Przy takim założeniu otrzymujemy również rodzinę decyzji bayesowskich. Celem jest natomiast wybór jednej reguły „optymalnej”. W artykule rozważany jest problem odpornej predykcji bayesowskiej zmiennej losowej o rozkładzie Poissona przy lunkcji straty LINEX. Niedokładność w wyznaczeniu rozkładu a priori modeluje się za pomocą trzech rodzin rozkładów a priori. Wyznaczamy predyktor warunkowo Г-minimaksowy i predyktor o Г-minimaksowej utracie a posteriori. Podajemy zastosowania w kolektywnym modelu ryzyka.
Źródło:
Acta Universitatis Lodziensis. Folia Oeconomica; 2006, 196
0208-6018
2353-7663
Pojawia się w:
Acta Universitatis Lodziensis. Folia Oeconomica
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Weryfikacja odporno-bayesowskiego modelu alokacji dla różnych typów rozkładów - podejście symulacyjne
Verification of the Robust-Bayesian Asset Allocation Model for Different Types of Distribution - Simulation Approach
Autorzy:
Orwat-Acedańska, Agnieszka
Powiązania:
https://bibliotekanauki.pl/articles/592595.pdf
Data publikacji:
2013
Wydawca:
Uniwersytet Ekonomiczny w Katowicach
Tematy:
Ekonometria bayesowska
Modele bayesowskie
Modele ekonometryczne
Bayesian econometric
Bayesian models
Econometric models
Opis:
In the paper robust Bayesian allocation method was verified for different distributions of returns using simulation approach. An impact of estimation error on the portfolio risk was examined when portfolios were built as a solution to the problem of maximizing expected return with restrictions imposed on its variance. Classical Markowitz approach results were compared to the robust Bayesian approach. Using simulations it was shown that in robust Bayesian method a fraction of samples where a portfolio risk exceeded its maximum limit as well as mean excess risk were much lower than in the classic approach. Moreover extending robust allocation with Bayesian approach significantly affects the portfolio riskiness. This results also holds if the distribution of returns in nonnormal although the differences are smaller.
Źródło:
Studia Ekonomiczne; 2013, 135; 102-120
2083-8611
Pojawia się w:
Studia Ekonomiczne
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
A holistic framework for conceptualising and describing risk
Autorzy:
Aven, T.
Powiązania:
https://bibliotekanauki.pl/articles/2069545.pdf
Data publikacji:
2010
Wydawca:
Uniwersytet Morski w Gdyni. Polskie Towarzystwo Bezpieczeństwa i Niezawodności
Tematy:
risk
probability
models
Bayesian approach
Opis:
A number of definitions and interpretations of the risk concept exist. Many of these are probability-based. In this paper we present and discuss a structure for characterising the definitions, which is founded on a clear distinction between (a) risk as a concept based on events, consequences and uncertainties; (b) risk as a modelled, quantitative concept; and (c) risk descriptions. The discussion leads to a holistic framework for conceptualising and assessing risk, which is based on risk defined by (a), and the probability-based definitions of risk can be viewed as related model parameters and/or risk descriptions. Two ways of detailing the framework are outlined: the relative frequency-based approach and the Bayesian approach. The Framework provides clear guidance on how to think when conceptualising and assessing risk in practice. Such guidance is strongly needed for the risk analysis discipline which is young and characterised by many different risk perspectives and approaches.
Źródło:
Journal of Polish Safety and Reliability Association; 2010, 1, 1; 7--14
2084-5316
Pojawia się w:
Journal of Polish Safety and Reliability Association
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Multi-layered Bayesian Neural Networks for Simulation and Prediction Stress-Strain Time Series
Autorzy:
Krok, A.
Powiązania:
https://bibliotekanauki.pl/articles/308596.pdf
Data publikacji:
2015
Wydawca:
Instytut Łączności - Państwowy Instytut Badawczy
Tematy:
Bayesian neural networks
Kalman filtering
Opis:
The aim of the paper is to investigate the differences as far as the numerical accuracy is concerned between feedforward layered Artificial Neural Networks (ANN) learned by means of Kalman filtering (KF) and ANN learned by means of the evidence procedure for Bayesian technique. The stress-strain experimental time series for concrete hysteresis loops obtained by the experiment of cyclic loading is presented as considered example.
Źródło:
Journal of Telecommunications and Information Technology; 2015, 3; 45-51
1509-4553
1899-8852
Pojawia się w:
Journal of Telecommunications and Information Technology
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
How to reconstruct the unknown physical quantities using neural networks?
Rekonstrukcja wielkości fizycznych z użyciem sieci neuronowych
Autorzy:
Wolter, Marcin
Powiązania:
https://bibliotekanauki.pl/articles/905690.pdf
Data publikacji:
2008
Wydawca:
Uniwersytet Łódzki. Wydawnictwo Uniwersytetu Łódzkiego
Tematy:
reconstruction
physics
Bayesian
neural network
Opis:
In this article an application of neural networks to the reconstruction of unknown physical quantities in particle physics is presented. As an example the mass reconstruction of the hypothetical Higgs boson in the typical high energy physics experiment is used. Monte Carlo events are used to determine the probability distributions of observables (energies of two jets and the angle between them) for various Higgs boson mass, which are later fitted using a Neural Network. These distributions are used to determine the mass probability distribution of the measured particle. The mass is reconstructed without knowing the functional dependence between the observables and the measured quantity. The miscalibration of the measured quantities is automatically corrected in this method.
W artykule zaprezentowane jest zastosowanie sieci neuronowych do rekonstrukcji nieznanych wielkości w fizyce cząstek elementarnych. Jako przykład użyta jest rekonstrukcja masy hipotetycznego bozonu Higgsa oparta na symulowanych danych. Dane te zostały użyte do wyznaczenia rozkładów prawdopodobieństwa mierzonych wielkości (energie dwóch dżetów oraz kąt pomiędzy nimi) dla różnych mas cząstki Higgsa. Rozkłady te zostały następnie sparametryzowane za pomocą sieci neuronowych oraz wyznaczenia rozkładu prawdopodobieństwa masy mierzonej cząstki. Masa jest wyznaczona bez użycia zależności funkcyjnej pomiędzy mierzonymi wielkościami a rekonstruowaną masą. Kalibracja wielkości pomiarowych jest automatycznie korygowana poprzez rozkłady prawdopodobieństwa.
Źródło:
Acta Universitatis Lodziensis. Folia Oeconomica; 2008, 216
0208-6018
2353-7663
Pojawia się w:
Acta Universitatis Lodziensis. Folia Oeconomica
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Bayesian Analysis of Weak Form Reduced Rank Structure in VEC Models
Autorzy:
Wróblewska, Justyna
Powiązania:
https://bibliotekanauki.pl/articles/483347.pdf
Data publikacji:
2011
Wydawca:
Polska Akademia Nauk. Czytelnia Czasopism PAN
Tematy:
cointegration
Bayesian analysis
common cyclical features
Opis:
The concept of cointegration that enables the proper statistical analysis of long-run comovements between unit root processes has been of great interest to numerous economic investigators since it was introduced. However, investigation of short-run comovement between economic time series seems equally important, especially for economic decision-makers. The concept of common features and based on it the idea of two additional reduced rank structure forms in a VEC model (the strong and the weak one) may be of some help. The strong form reduced rank structure (SF) takes place when at least one linear combination of the first differences of the variables exists, which is white noise. However, when this assumption seems too strong, the weaker case can be considered. The weak form appears when the linear combination of first differences adjusted for long-run efects exists, which is white noise. The main focus of this paper is a Bayesian analysis of the VEC models involving the weak form of reduced rank restrictions. After the introduction and discussion of the said Bayesian model, the presented methods will be illustrated by an empirical investigation of the price - wage spiral in the Polish economy.
Źródło:
Central European Journal of Economic Modelling and Econometrics; 2011, 3, 3; 169-186
2080-0886
2080-119X
Pojawia się w:
Central European Journal of Economic Modelling and Econometrics
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Informacja a priori w ocenie jakości modeli TAM na przykładzie platformy Moodle
A priori information in the assessment of TAM quality models on the example of Moodle platform
Autorzy:
Sagan, Adam
Grabowski, Mariusz
Powiązania:
https://bibliotekanauki.pl/articles/424894.pdf
Data publikacji:
2016
Wydawca:
Wydawnictwo Uniwersytetu Ekonomicznego we Wrocławiu
Tematy:
meta-analysis
Bayesian SEM
TAM model
Opis:
The article is devoted to the role of a priori information on the basis of a meta- -analysis in the evaluation of the fit and accuracy of Technology Acceptance Model (TAM). This type of model is particularly used to analyze the attitudes and behavior towards new technologies (Moodle platform). In model construction three approaches are compared: structural model with the latent variables (SEM), Bayesian SEM with informative priors based on metanalysis. The aim of the paper is to assess the role of information a priori (subjective knowledge of the researcher and the results of past studies) to assess the stability of the model parameters and fit of the model. Use of information about the prior distributions of parameters and values of point estimates allows to determine the starting points of estimation process and is an essential condition for building a model in bayesian approach. In the process of modeling two models are compared: one built solely on the basis of data (without prior information) and the other that use subjective knowledge of the researcher.
Źródło:
Econometrics. Ekonometria. Advances in Applied Data Analytics; 2016, 3 (53); 21-31
1507-3866
Pojawia się w:
Econometrics. Ekonometria. Advances in Applied Data Analytics
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Bayesian methods in reliability of search and rescue action
Autorzy:
Burciu, Z.
Powiązania:
https://bibliotekanauki.pl/articles/259315.pdf
Data publikacji:
2010
Wydawca:
Politechnika Gdańska. Wydział Inżynierii Mechanicznej i Okrętownictwa
Tematy:
coordinator
SAR action
reliability
Bayesian network
Opis:
This paper concerns the application of bayesian network to planning and monitoring life saving actions at sea. The presented bayesian network was formed a.o. on the basis of the determined life raft safety function. The proposed bayesian network makes it possible to determine reliability of conducted life saving action, with accounting for a large number of events which influence course of the action. Reliability control was proposed to be applied to search and rescue - SAR action in contrast to risk control. Reliability levels were defined to make the assessing of safety of conducted SAR action, possible.
Źródło:
Polish Maritime Research; 2010, 4; 72-78
1233-2585
Pojawia się w:
Polish Maritime Research
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Wykorzystanie sieci bayesowskich do prognozowania bankructwa firm
Bankruptcy prediction with Bayesian networks
Autorzy:
Gąska, Damian
Powiązania:
https://bibliotekanauki.pl/articles/434020.pdf
Data publikacji:
2016
Wydawca:
Wydawnictwo Uniwersytetu Ekonomicznego we Wrocławiu
Tematy:
bankruptcy prediction
Bayesian network
structure learning
Opis:
The aim of the paper is to compare accuracy of some bankruptcy prediction models based on Bayesian networks. Some network structure learning algorithms were analyzed as a tool for classifiers construction. Empirical analysis was applied to companies listed on Warsaw Stock Exchange. The paper gives short overview of theoretical background behind discussed issues and presents results of empirical analysis.
Źródło:
Śląski Przegląd Statystyczny; 2016, 14 (20); 131-144
1644-6739
Pojawia się w:
Śląski Przegląd Statystyczny
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Mathematical Foundations of Cognitive Radios
Autorzy:
Couillet, R.
Debbah, M.
Powiązania:
https://bibliotekanauki.pl/articles/308175.pdf
Data publikacji:
2009
Wydawca:
Instytut Łączności - Państwowy Instytut Badawczy
Tematy:
Bayesian inference
cognitive radio
maximum entropy
Opis:
Recently, much interest has been directed towards software defined radios and embedded intelligence in telecommunication devices. However, no fundamental basis for cognitive radios has ever been proposed. In this paper, we introduce a fundamental vision of cognitive radios from a physical layer viewpoint. Specifically, our motivation in this work is to embed human-like intelligence in mobile wireless devices, following the three century-old work on Bayesian probability theory, the maximum entropy principle and minimal probability update. This allows us to partially answer such questions as, what are the signal detection capabilities of a wireless device, when facing a situation in which most parameters are missing, how to react and so on. As an introductory example, we will present previous works from the same authors following the cognitive framework, and especially the multi-antenna channel modeling and signal sensing.
Źródło:
Journal of Telecommunications and Information Technology; 2009, 4; 108-117
1509-4553
1899-8852
Pojawia się w:
Journal of Telecommunications and Information Technology
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Infinitesimal robustness in Bayesian statistical models
Autorzy:
Boratyńska, Agata
Powiązania:
https://bibliotekanauki.pl/articles/748078.pdf
Data publikacji:
1994
Wydawca:
Polskie Towarzystwo Matematyczne
Tematy:
Bayesian inference
Robustness and adaptive procedures
Opis:
.
The problem of measuring the Bayesian robustness is considered. An upper bound for the oscillation of a posterior functional in terms of the Kolmogorov distance between the prior distributions is given. The norm of the Frechet derivative as a measure of local sensitivity is presented. The problem of finding optimal statistical procedures is presented.
Źródło:
Mathematica Applicanda; 1994, 23, 37
1730-2668
2299-4009
Pojawia się w:
Mathematica Applicanda
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
SIGNAL DETECTION APPROACH IN MODELING CONSCIOUSNESS – EMOTION INTERACTIONS
Autorzy:
Szczepanowski, Remigiusz
Powiązania:
https://bibliotekanauki.pl/articles/2138157.pdf
Data publikacji:
2017-12-14
Wydawca:
Fundacja Edukacji Medycznej, Promocji Zdrowia, Sztuki i Kultury Ars Medica
Tematy:
bayesian model
awareness
brain
affective processing
Opis:
Contemporary cognitive science attempts to provide computational models that describe how consciousness and emotion constitute adaptive behavior. Given the recent neurobiological view that highlights the fact that the cognitive and emotional regions of the brain work together to achieve conscious behavior, it was shown that signal-detection theory (SDT) can effectively capture the notion of the consciousness–emotion interactions that underlie emotional experience. In particular, I have demonstrated that the hierarchical SDT model is capable of estimating different levels of the hierarchical organization of emotional experience. I have also shown that the threshold SDT model predicts that the formation of emotion experience requires a discrete decision space, which implies that the neural representations of emotion are mediated by thresholds to be experienced consciously. The application of both computational SDT models seems to be a promising advance for studying consciousness–emotion interactions.
Źródło:
Acta Neuropsychologica; 2017, 15(1); 89-96
1730-7503
2084-4298
Pojawia się w:
Acta Neuropsychologica
Dostawca treści:
Biblioteka Nauki
Artykuł
Wyświetlanie 1-15 z 322

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