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  • Search: subject:"Gaussian Process"
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Year of publication
Subject
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Gaussian process 219 Gauß-Prozess 109 Stochastischer Prozess 99 Stochastic process 97 Theorie 83 Theory 82 Estimation theory 56 Schätztheorie 56 Gaussian process regression 46 Bayesian inference 43 Bayes-Statistik 42 Regression analysis 29 Regressionsanalyse 29 Forecasting model 25 Prognoseverfahren 25 Simulation 25 Statistische Verteilung 25 Statistical distribution 24 Nichtparametrisches Verfahren 22 Nonparametric statistics 22 Artificial intelligence 21 Künstliche Intelligenz 21 Time series analysis 20 Zeitreihenanalyse 20 Bootstrap approach 18 Bootstrap-Verfahren 18 Option pricing theory 17 Optionspreistheorie 17 Kriging 16 Volatilität 15 Mathematical programming 14 Mathematische Optimierung 14 Maximum likelihood estimation 14 Modellierung 14 Scientific modelling 14 Volatility 14 Gaussian Process 13 Maximum-Likelihood-Schätzung 13 Zinsstruktur 13 Yield curve 12
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Online availability
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Undetermined 162 Free 156 CC license 17
Type of publication
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Article 221 Book / Working Paper 132
Type of publication (narrower categories)
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Article in journal 119 Aufsatz in Zeitschrift 119 Working Paper 83 Graue Literatur 73 Non-commercial literature 73 Arbeitspapier 71 Article 11 Aufsatz im Buch 7 Book section 7 Hochschulschrift 5 Thesis 5 research-article 2 Collection of articles written by one author 1 Sammlung 1
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Language
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English 258 Undetermined 93 French 1 Russian 1
Author
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Kleijnen, Jack P. C. 14 Chernozhukov, Victor 12 Linton, Oliver 10 Sentana, Enrique 7 Whang, Yoon-Jae 7 Belloni, Alexandre 6 Cho, Jin Seo 6 Fiorentini, Gabriele 6 Mehdad, Ehsan 6 Xu, Xiaojie 6 Chetverikov, Denis 5 Jin, Bingzi 5 Kato, Kengo 5 Ludkovski, Mike 5 Chen, Xiaohong 4 Christensen, Timothy M. 4 Fernández-Val, Iván 4 Hébert, Benjamin 4 Kleijnen, Jack P.C. 4 Lanne, Markku 4 Mehdad, E. 4 Woodford, Michael 4 Yen, Yu-Min 4 Aguilar, Jean-Philippe 3 Beers, Wim C. M. van 3 Claveria, Oscar 3 Dearmon, Jacob 3 Eder, Armin 3 Fok, Dennis 3 Giudici, Paolo 3 Goos, Peter 3 Gramacy, Robert B. 3 Guvenen, Fatih 3 Hall, Peter 3 Han, Heejoon 3 Härdle, Wolfgang 3 Keiler, Sebastian 3 Kleinow, Torsten 3 Kristensen, Dennis 3 Küchler, Uwe 3
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Institution
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Cowles Foundation for Research in Economics, Yale University 4 Tilburg University, Center for Economic Research 4 Départment des sciences administratives, Université du Québec en Outaouais (UQO) 3 Centre for Microdata Methods and Practice (CEMMAP) 2 Christian-Albrechts-Universität zu Kiel 2 International Monetary Fund (IMF) 2 National Bureau of Economic Research 2 Sonderforschungsbereich 373, Quantifikation und Simulation ökonomischer Prozesse, Wirtschaftswissenschaftliche Fakultät 2 Berkeley Electronic Press 1 Department of Economics and Business, Universitat Pompeu Fabra 1 Deutsche Bundesbank 1 Dipartimento di Scienze Economiche e Aziendali, Università degli Studi di Pavia 1 Institute of Economic Research, Korea University 1 London School of Economics (LSE) 1 School of Economics and Management, University of Aarhus 1 School of Economics, University of Adelaide 1 Solvay Brussels School of Economics and Management, Université Libre de Bruxelles 1 Suntory and Toyota International Centres for Economics and Related Disciplines, LSE 1 Volkswirtschaftliche Fakultät, Ludwig-Maximilians-Universität München 1
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Published in...
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CEMMAP working papers / Centre for Microdata Methods and Practice 14 Discussion paper / Center for Economic Research, Tilburg University 12 European journal of operational research : EJOR 10 Journal of Multivariate Analysis 10 Stochastic Processes and their Applications 8 Journal of econometrics 7 Statistical Inference for Stochastic Processes 7 Statistics & Probability Letters 7 Journal of business & economic statistics : JBES ; a publication of the American Statistical Association 6 Operations research 6 Computational Statistics & Data Analysis 5 Risks : open access journal 5 cemmap working paper 5 Annals of the Institute of Statistical Mathematics 4 Cowles Foundation Discussion Papers 4 Discussion Paper / Tilburg University, Center for Economic Research 4 Physica A: Statistical Mechanics and its Applications 4 Quantitative finance 4 AStA Advances in Statistical Analysis 3 CEMFI working paper 3 CREATES research paper 3 European Journal of Operational Research 3 Insurance / Mathematics & economics 3 International Journal of Energy Economics and Policy : IJEEP 3 International journal of forecasting 3 International journal of production research 3 International journal of theoretical and applied finance 3 RePAd Working Paper Series 3 Risks 3 Statistical Papers / Springer 3 Working paper / National Bureau of Economic Research, Inc. 3 Annals of actuarial science : publ. by the Institute of Actuaries and the Faculty of Actuaries 2 Applied Energy 2 Applied mathematical finance 2 Bayesian model comparison 2 CeMMAP working papers 2 Cowles Foundation discussion paper 2 Decision analytics journal 2 Discussion paper / Centre for Economic Policy Research 2 IMF Working Papers 2
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Source
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ECONIS (ZBW) 218 RePEc 105 EconStor 23 BASE 3 Other ZBW resources 3 USB Cologne (EcoSocSci) 1
Showing 261 - 270 of 353
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Bayesian nonparametric classification for spectroscopy data
Gutiérrez, Luis; Gutiérrez-Peña, Eduardo; Mena, … - In: Computational Statistics & Data Analysis 78 (2014) C, pp. 56-68
High-dimensional spectroscopy data are increasingly common in many fields of science. Building classification models in this context is challenging, due not only to high dimensionality but also to high autocorrelations. A two-stage classification strategy is proposed. First, in a data...
Persistent link: https://www.econbiz.de/10011056467
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Optimal design for correlated processes with input-dependent noise
Boukouvalas, A.; Cornford, D.; Stehlík, M. - In: Computational Statistics & Data Analysis 71 (2014) C, pp. 1088-1102
Optimal design for parameter estimation in Gaussian process regression models with input-dependent noise is examined … using Gaussian process emulators to act as statistical surrogates. In the case of stochastic simulators, which produce a … process regression and kriging. Designs are proposed with the aim of minimising the variance of the Gaussian process parameter …
Persistent link: https://www.econbiz.de/10011056599
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Asymptotic results for hybrids of empirical and partial sums processes
Alvarez-Andrade, Sergio; Bouzebda, Salim - In: Statistical Papers 55 (2014) 4, pp. 1121-1143
The present paper is devoted to the study of the hybrids of empirical and partial sums processes. In the first part, we present a synthesis of results related to these processes and their connection with the empirical and compound process. We obtain new results on the precise asymptotics in the...
Persistent link: https://www.econbiz.de/10010949808
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On the eigenvalue process of a matrix fractional Brownian motion
Nualart, David; Pérez-Abreu, Victor - In: Stochastic Processes and their Applications 124 (2014) 12, pp. 4266-4282
We investigate the process of eigenvalues of a symmetric matrix-valued process which upper diagonal entries are independent one-dimensional Hölder continuous Gaussian processes of order γ∈(1/2,1). Using the stochastic calculus with respect to the Young integral we show that these eigenvalues...
Persistent link: https://www.econbiz.de/10011064925
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Two-sample location–scale estimation from semiparametric random censorship models
Bhattacharya, Rianka; Subramanian, Sundarraman - In: Journal of Multivariate Analysis 132 (2014) C, pp. 25-38
When two survival functions belong to a location–scale family of distributions, and the available two-sample data are each right censored, the location and scale parameters can be estimated using a minimum distance criterion combined with Kaplan–Meier quantiles. In this paper, it is shown...
Persistent link: https://www.econbiz.de/10010939521
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Integrated likelihood inference in semiparametric regression models
He, H.; Severini, T. - In: METRON 72 (2014) 2, pp. 185-199
distribution to be a Gaussian process with a given covariance function, which may depend on additional parameters. Likelihood …
Persistent link: https://www.econbiz.de/10011000644
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The extended skew Gaussian process for regression
Alodat, M.; AL-Rawwash, M. - In: METRON 72 (2014) 3, pp. 317-330
In this article, we propose a generalization to the Gaussian process regression(GPR) model called the extended skew … Gaussian process for regression (ESGP) model. The ESGP model works better than the GPR model when the errors are skewed. We …
Persistent link: https://www.econbiz.de/10011000647
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Fast calculation of multiobjective probability of improvement and expected improvement criteria for Pareto optimization
Couckuyt, Ivo; Deschrijver, Dirk; Dhaene, Tom - In: Journal of Global Optimization 60 (2014) 3, pp. 575-594
The use of surrogate based optimization (SBO) is widely spread in engineering design to reduce the number of computational expensive simulations. However, “real-world” problems often consist of multiple, conflicting objectives leading to a set of competitive solutions (the Pareto front). The...
Persistent link: https://www.econbiz.de/10010994145
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On quantitative trait locus mapping with an interference phenomenon
Rabier, Charles-Elie - In: TEST: An Official Journal of the Spanish Society of … 23 (2014) 2, pp. 311-329
We consider the likelihood ratio test (LRT) process related to the test of the absence of QTL (a QTL denotes a gene with quantitative effect on a trait) on the interval [0, T] representing a chromosome. The observation is the trait and the composition of the genome at some locations called...
Persistent link: https://www.econbiz.de/10010994264
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Model assisted Cox regression
Mondal, Shoubhik; Subramanian, Sundarraman - In: Journal of Multivariate Analysis 123 (2014) C, pp. 281-303
Semiparametric random censorship (SRC) models (Dikta, 1998) [7], derive their rationale from their ability to utilize parametric ideas within the random censorship environment. An extension of this approach is developed for Cox regression, producing new estimators of the regression parameter and...
Persistent link: https://www.econbiz.de/10010718982
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