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  • Search: subject:"Approximate Bayesian Computation"
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Year of publication
Subject
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Bayesian inference 16 Bayes-Statistik 14 Approximate Bayesian Computation 12 Approximate Bayesian computation 10 Estimation theory 10 Schätztheorie 10 approximate Bayesian computation 5 Monte Carlo simulation 4 Monte-Carlo-Simulation 4 Induktive Statistik 3 Likelihood-free inference 3 Simulation 3 Statistical inference 3 Statistical theory 3 Statistische Methodenlehre 3 Theorie 3 Theory 3 Agent-based modeling 2 Agentenbasierte Modellierung 2 Bayesian model choice 2 Bayesian synthetic likelihood 2 Continuous-time processes 2 Estimation 2 Filtering 2 Identification 2 Indirect inference 2 Jumps 2 Markov chain 2 Markov chain Monte Carlo 2 Markov-Kette 2 Moment Conditions 2 New-Keynesian model 2 Realized volatility 2 Sampling 2 Sequential Monte Carlo 2 Stichprobenerhebung 2 Stochastic process 2 Stochastischer Prozess 2 Volatility 2 Volatilität 2
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Online availability
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Undetermined 15 Free 12
Type of publication
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Article 15 Book / Working Paper 15
Type of publication (narrower categories)
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Working Paper 8 Arbeitspapier 7 Article in journal 7 Aufsatz in Zeitschrift 7 Graue Literatur 7 Non-commercial literature 7
Language
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English 15 Undetermined 15
Author
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Kristensen, Dennis 5 Robert, Christian P. 5 Creel, Michael 4 Frazier, David T. 3 Martin, Gael M. 3 Fan, Y. 2 Jang, Tae-Seok 2 Marin, Jean-Michel 2 Sacht, Stephen 2 Sisson, S.A. 2 Allingham, David 1 Alquier, Pierre 1 Balding, David 1 Beaumont, Mark A. 1 Beerli, Peter 1 Boucher, Vincent 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 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 Gaggiotti, Oscar 1 Garthwaite, P.H. 1 Goffard, Pierre-Olivier 1 Grazzini, Jakob 1 Hey, Jody 1 Hickerson, Mike 1 Huelsenbeck, John 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 3 Economics Papers from University Paris Dauphine 3 Working paper / Department of Econometrics and Business Statistics, Monash University 3 Série des documents de travail 2 UFAE and IAE Working Papers 2 CREATES Research Papers 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 Physica A: Statistical Mechanics and its Applications 1 Psychometrika 1 Statistical Applications in Genetics and Molecular Biology 1 The journal of operational risk 1
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Source
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RePEc 15 ECONIS (ZBW) 14 EconStor 1
Showing 11 - 20 of 30
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Informed sub-sampling MCMC : approximate Bayesian inference for large datasets
Maire, Florian; Friel, Nial; Alquier, Pierre - 2017
Persistent link: https://www.econbiz.de/10012198684
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Equilibrium homophily in networks
Boucher, Vincent - In: European economic review : EER 123 (2020), pp. 1-33
Persistent link: https://www.econbiz.de/10012264562
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On Selection of Statistics for Approximate Bayesian Computing or the Method of Simulated Moments
Creel, Michael; Kristensen, Dennis - Departament d'Economia i Història Econòmica, … - 2015
This paper presents a cross validation method for selection of statistics for Approximate Bayesian Computing, and for related estimation methods such as the Method of Simulated Moments. The method uses simulated annealing to minimize the cross validation criterion over a combinatorial search...
Persistent link: https://www.econbiz.de/10011188913
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ABC of SV: Limited Information Likelihood Inference in Stochastic Volatility Jump-Diffusion Models
Creel, Michael; Kristensen, Dennis - School of Economics and Management, University of Aarhus - 2014
using so-called Approximate Bayesian Computation which build likelihoods based on limited information. The proposed …
Persistent link: https://www.econbiz.de/10010892068
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Indirect Likelihood Inference (revised)
Creel, Michael; Kristensen, Dennis - Departament d'Economia i Història Econòmica, … - 2013
Standard indirect Inference (II) estimators take a given finite-dimensional statistic, Z_{n} , and then estimate the parameters by matching the sample statistic with the model-implied population moment. We here propose a novel estimation method that utilizes all available information contained...
Persistent link: https://www.econbiz.de/10010836476
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Simple techniques for likelihood analysis of univariate and multivariate stable distributions: with extensions to multivariate stochastic volatility and dynamic factor models
Tsionas, Mike - Volkswirtschaftliche Fakultät, … - 2012
-scale mixtures and (ii) versions of approximate Bayesian computation (ABC) using the characteristic function and the asymptotic form …
Persistent link: https://www.econbiz.de/10011258174
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Bayesian estimation of agent-based models
Grazzini, Jakob; Richiardi, Matteo; Tsionas, Efthymios G. - In: Journal of economic dynamics & control 77 (2017), pp. 26-47
Persistent link: https://www.econbiz.de/10011817424
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Optimal B-robust posterior distributions for operational risk
Danesi, Ivan Luciano; Piacenza, Fabio; Ruli, Erlis; … - In: The journal of operational risk 11 (2016) 4, pp. 35-54
Persistent link: https://www.econbiz.de/10013177177
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ABC of SV: Limited information likelihood inference in stochastic volatility jump-diffusion models
Creel, Michael; Kristensen, Dennis - In: Journal of Empirical Finance 31 (2015) C, pp. 85-108
using so-called Approximate Bayesian Computation which build likelihoods based on limited information. The proposed …
Persistent link: https://www.econbiz.de/10011263469
Saved in:
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ABC of SV: limited information likelihood inference in stochastic volatility jump-diffusion models
Creel, Michael D.; Kristensen, Dennis - In: Journal of empirical finance 31 (2015), pp. 85-108
Persistent link: https://www.econbiz.de/10011489408
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