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  • Search: subject:"Bayesian Computation"
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Year of publication
Subject
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Bayesian inference 19 Bayes-Statistik 17 Approximate Bayesian Computation 12 Estimation theory 12 Schätztheorie 12 Approximate Bayesian computation 10 Bayesian computation 6 Monte Carlo simulation 6 Monte-Carlo-Simulation 6 approximate Bayesian computation 5 Markov chain Monte Carlo 4 Sampling 4 Simulation 4 Stichprobenerhebung 4 Theorie 4 Theory 4 Induktive Statistik 3 Likelihood-free inference 3 Markov chain 3 Markov-Kette 3 Statistical inference 3 Statistical theory 3 Statistische Methodenlehre 3 importance sampling 3 Agent-based modeling 2 Agentenbasierte Modellierung 2 Bayesian model choice 2 Bayesian synthetic likelihood 2 Continuous-time processes 2 Estimation 2 Filtering 2 Forecasting model 2 History of Bayesian computation 2 Identification 2 Indirect inference 2 Jumps 2 Laplace approximation 2 MCMC 2 Moment Conditions 2 New-Keynesian model 2
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Online availability
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Undetermined 22 Free 15 CC license 1
Type of publication
All
Article 24 Book / Working Paper 16
Type of publication (narrower categories)
All
Article in journal 9 Aufsatz in Zeitschrift 9 Working Paper 9 Arbeitspapier 8 Graue Literatur 8 Non-commercial literature 8 Article 1
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Language
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Undetermined 21 English 19
Author
All
Robert, Christian P. 6 Kristensen, Dennis 5 Creel, Michael 4 Frazier, David T. 4 Martin, Gael M. 4 Chen, Ming-Hui 2 Fan, Y. 2 Jang, Tae-Seok 2 Marin, Jean-Michel 2 Nandram, Balgobin 2 Sacht, Stephen 2 Shao, Qi-Man 2 Sisson, S.A. 2 Yin, Jiani 2 Al-Mutairi, D. K. 1 Allingham, David 1 Alquier, Pierre 1 Balding, David 1 Beaumont, Mark A. 1 Beerli, Peter 1 Boucher, Vincent 1 Braun, Michael 1 Buchholz, Alexander 1 Chikasue, Megumi 1 Chikhi, Lounès 1 Chopin, Nicolas 1 Ciganda, Daniel 1 Cook, Alex 1 Corander, Jukka 1 Cornuet, Jean-Marie 1 Creel, Michael D. 1 Damien, Paul 1 Danesi, Ivan Luciano 1 Deardon, Robert 1 Dommermuth, Lars 1 Estoup, Arnaud 1 Excoffier, Laurent 1 Fagundes, Nelson 1 Foll, Matthieu 1 Friel, Nial 1
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Institution
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Université Paris-Dauphine (Paris IX) 3 Departament d'Economia i Història Econòmica, Universitat Autònoma de Barcelona 2 School of Economics and Management, University of Aarhus 1 Volkswirtschaftliche Fakultät, Ludwig-Maximilians-Universität München 1
Published in...
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Computational Statistics & Data Analysis 4 Working paper / Department of Econometrics and Business Statistics, Monash University 4 Economics Papers from University Paris Dauphine 3 Journal of Applied Statistics 2 Série des documents de travail 2 UFAE and IAE Working Papers 2 Annals of the Institute of Statistical Mathematics 1 CREATES Research Papers 1 Computational Statistics 1 European economic review : EER 1 HWWI Working Paper 1 HWWI working paper 1 Insurance / Mathematics & economics 1 International Journal of Biostatistics 1 International journal of production research 1 Journal of Empirical Finance 1 Journal of business & economic statistics : JBES ; a publication of the American Statistical Association 1 Journal of economic dynamics & control 1 Journal of empirical finance 1 MPIDR working papers 1 MPRA Paper 1 Marketing science 1 Physica A: Statistical Mechanics and its Applications 1 Psychometrika 1 Statistical Applications in Genetics and Molecular Biology 1 Statistics in Transition New Series 1 Statistics in transition : an international journal of the Polish Statistical Association and Statistics Poland 1 TEST: An Official Journal of the Spanish Society of Statistics and Operations Research 1 The journal of operational risk 1
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Source
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RePEc 21 ECONIS (ZBW) 17 EconStor 2
Showing 1 - 10 of 40
Cover Image
Moment matching for Bayesian inference in the baseline New-Keynesian model
Jang, Tae-Seok; Sacht, Stephen - 2025
approximate Bayesian computation combined with the choice of specific moment conditions. This estimation approach not only allows …
Persistent link: https://www.econbiz.de/10015372746
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Cover Image
Moment matching for Bayesian inference in the baseline New-Keynesian model
Jang, Tae-Seok; Sacht, Stephen - 2025
approximate Bayesian computation combined with the choice of specific moment conditions. This estimation approach not only allows …
Persistent link: https://www.econbiz.de/10015373485
Saved in:
Cover Image
ABC-based forecasting in state space models
Weerasinghe, Chaya; Loiza-Maya, Ruben; Martin, Gael M.; … - 2023
Persistent link: https://www.econbiz.de/10014452518
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Computing Bayes : Bayesian computation from 1763 to the 21st century
Martin, Gael M.; Frazier, David T.; Robert, Christian P. - 2020
Persistent link: https://www.econbiz.de/10012607643
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Computing bayes : from then 'til now
Martin, Gael M.; Frazier, David T.; Robert, Christian P. - 2022
Persistent link: https://www.econbiz.de/10013494406
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Changes in the educational gradient of fertility not driven by changes in preferences
Ciganda, Daniel; Lorenti, Angelo; Dommermuth, Lars - 2021
Persistent link: https://www.econbiz.de/10012664199
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Approximating bayes in the 21st century
Martin, Gael M.; Frazier, David T.; Robert, Christian P. - 2021
Persistent link: https://www.econbiz.de/10013193948
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Root cause estimation of faults in production processes : a novel approach inspired by approximate Bayesian computation
Otsubo, Yosuke; Otani, Naoya; Chikasue, Megumi; … - In: International journal of production research 61 (2023) 5, pp. 1556-1574
Persistent link: https://www.econbiz.de/10014227045
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A Bayesian Small Area Model with Dirichlet Processes on the Responses
Yin, Jiani; Nandram, Balgobin - In: Statistics in Transition New Series 21 (2020) 3, pp. 1-19
Typically survey data have responses with gaps, outliers and ties, and the distributions of the responses might be skewed. Usually, in small area estimation, predictive inference is done using a two-stage Bayesian model with normality at both levels (responses and area means).This is the...
Persistent link: https://www.econbiz.de/10012600255
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Cover Image
A Bayesian small area model with Dirichlet processes on the responses
Yin, Jiani; Nandram, Balgobin - In: Statistics in transition : an international journal of … 21 (2020) 3, pp. 1-19
Typically survey data have responses with gaps, outliers and ties, and the distributions of the responses might be skewed. Usually, in small area estimation, predictive inference is done using a two-stage Bayesian model with normality at both levels (responses and area means).This is the...
Persistent link: https://www.econbiz.de/10012291514
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