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Bayes prediction regressions with elliptical errors
Chib, Siddhartha - In: Journal of econometrics 3 (1988), pp. 349-360
Persistent link: https://www.econbiz.de/10001046320
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Forecasting the term structure of government bond yields
Diebold, Francis X.; Li, Canlin - In: Journal of econometrics 130 (2006) 2, pp. 337-364
Persistent link: https://www.econbiz.de/10003277971
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Tailored randomized block MCMC methods with application to DSGE models
Chib, Siddhartha; Ramamurthy, Srikanth - In: Journal of econometrics 155 (2010) 1, pp. 19-38
Persistent link: https://www.econbiz.de/10003965375
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A Markov-switching multifractal inter-trade duration model, with application to US equities
Chen, Fei; Diebold, Francis X.; Schorfheide, Frank - In: Journal of econometrics 177 (2013) 2, pp. 320-342
Persistent link: https://www.econbiz.de/10010255140
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The affine arbitrage-free class of Nelson-Siegel term structure models
Christensen, Jens H. E.; Diebold, Francis X.; … - In: Journal of econometrics 164 (2011) 1, pp. 4-20
Persistent link: https://www.econbiz.de/10009270418
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Why are estimates of agricultural supply response so variable?
Diebold, Francis X. - In: Journal of econometrics 76 (1997) 1, pp. 357-373
Persistent link: https://www.econbiz.de/10001211352
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Markov chain Monte Carlo methods for stochastic volatility models
Chib, Siddhartha; Nardari, Federico; Shephard, Neil G. - In: Journal of econometrics 108 (2002) 2, pp. 281-316
Persistent link: https://www.econbiz.de/10001657610
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Semiparametric Bayes analysis of longitudinal data treatment models
Chib, Siddhartha; Hamilton, Barton Hughes - In: Journal of econometrics 110 (2002) 1, pp. 67-89
Persistent link: https://www.econbiz.de/10001689443
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Long memory and regime switching
Diebold, Francis X.; Inoue, Atsushi - In: Journal of econometrics 105 (2001) 1, pp. 131-159
Persistent link: https://www.econbiz.de/10001617152
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Annals of econometrics: forecasting and empirical methods in finance and macroeconomics
Diebold, Francis X. (contributor);  … - 2001
Persistent link: https://www.econbiz.de/10001617180