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~type_genre:"Graue Literatur"
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Search: subject:"sampling"
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Dijk, Herman K. van
100
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65
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64
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39
Schorfheide, Frank
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34
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34
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31
Robert, Christian P.
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Rendtel, Ulrich
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Paap, Richard
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Bos, Charles S.
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Brakel, Jan A. van den
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Canova, Fabio
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Giacomini, Raffaella
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Kneib, Thomas
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Pesaran, M. Hashem
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Rubio-Ramírez, Juan Francisco
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17
Kaufmann, Sylvia
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Siegers, Rainer
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TNS Infratest Sozialforschung GmbH
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2
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2
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2
Krannert Graduate School of Management
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124
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73
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71
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63
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26
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Technical report / Sonderforschungsbereich 475 Komplexitätsreduktion in Multivariaten Datenstrukturen, Universität Dortmund
24
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SFB 649 discussion paper
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CAMP working paper series
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Cowles Foundation discussion paper
21
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ECONIS (ZBW)
4,344
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1
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1
General Bayesian time-varying parameter VARs for modeling government bond yields
Fischer, Manfred M.
;
Hauzenberger, Niko
;
Huber, Florian
; …
-
2022
Persistent link: https://www.econbiz.de/10012498662
Saved in:
2
Sampling
methods to better spread the response burden for small businesses
Smeets, Marc
;
Klingwort, Jonas
-
2023
Persistent link: https://www.econbiz.de/10014365106
Saved in:
3
Bayesian predictive distributions of oil returns using mixed data
sampling
volatility models
Virbickaite, Audrone
;
Nguyen, Hoang
;
Minh-Ngoc Tran
-
2023
Stochastic Volatility (SV), along with Mixed Data
Sampling
(MIDAS) regressions, which enable us to incorporate the impacts of …
Persistent link: https://www.econbiz.de/10014252427
Saved in:
4
Parametric models of income distributions integrating misreporting and non-response mechanisms
Silva, Mathias
-
2023
-
This version: May 4, 2023
Persistent link: https://www.econbiz.de/10014284150
Saved in:
5
Conditional density forecasting : a tempered importance
sampling
approach
Montes-Galdón, Carlos
;
Paredes, Joan
;
Wolf, Elias
-
2022
proposed algorithm, which is based on tempered importance
sampling
, adapts the model-based density forecasts to target …
Persistent link: https://www.econbiz.de/10013463266
Saved in:
6
Computing bayes : from then 'til now
Martin, Gael M.
;
Frazier, David T.
;
Robert, Christian P.
-
2022
Persistent link: https://www.econbiz.de/10013494406
Saved in:
7
Precision-based
sampling
for state space models that have no measurement error
Mertens, Elmar
-
2023
instance of precision-based
sampling
methods that operate on the inverse variance-covariance matrix of the states (also known … other instances of precision-based
sampling
, computational gains are considerable. Relevant applications include trend …
Persistent link: https://www.econbiz.de/10014336195
Saved in:
8
Stochastic Langevin Monte Carlo for (weakly) log-concave posterior distributions
Crespo Navas, Marelys
;
Gadat, Sébastien
;
Gendre, Xavier
-
2023
Persistent link: https://www.econbiz.de/10013486257
Saved in:
9
Scenario
sampling
for large supermodular games
Graham, Bryan S.
;
Pelican, Andrin
-
2023
-
This Draft: July 2023
sampling
algorithm which allows for accurate likelihood simulation with modest numbers of simulation draws. …
Persistent link: https://www.econbiz.de/10014316766
Saved in:
10
Measuring income inequality in Japan using accurate
sampling
weights
Hori, Masahiro
;
Maeda, Saeko
;
Suga, Fumihiko
-
2023
Persistent link: https://www.econbiz.de/10014296415
Saved in:
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