Quasi-likelihood

Results: 45



#Item
1Asymptotic Bias for Quasi-Maximum-Likelihood Estimators in Conditional Heteroskedasticity Models Author(s): Whitney K. Newey and Douglas G. Steigerwald Source: Econometrica, Vol. 65, No. 3 (May, 1997), ppPublis

Asymptotic Bias for Quasi-Maximum-Likelihood Estimators in Conditional Heteroskedasticity Models Author(s): Whitney K. Newey and Douglas G. Steigerwald Source: Econometrica, Vol. 65, No. 3 (May, 1997), ppPublis

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Source URL: econ.ucsb.edu

- Date: 2011-06-16 18:28:18
    2Econometrica, Vol. 80, No. 4 (July, 2012), 1809–1812  TESTING FOR REGIME SWITCHING: A COMMENT BY ANDREW V. CARTER AND DOUGLAS G. STEIGERWALD1 An autoregressive model with Markov regime-switching is analyzed that reflec

    Econometrica, Vol. 80, No. 4 (July, 2012), 1809–1812 TESTING FOR REGIME SWITCHING: A COMMENT BY ANDREW V. CARTER AND DOUGLAS G. STEIGERWALD1 An autoregressive model with Markov regime-switching is analyzed that reflec

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    Source URL: econ.ucsb.edu

    Language: English - Date: 2012-07-06 19:00:34
    3Spatial composite likelihood inference using local C-vines Tobias Michael Erhardta,1,∗, Claudia Czadoa , Ulf Schepsmeiera arXiv:1407.0886v1 [stat.ME] 3 Jul 2014

    Spatial composite likelihood inference using local C-vines Tobias Michael Erhardta,1,∗, Claudia Czadoa , Ulf Schepsmeiera arXiv:1407.0886v1 [stat.ME] 3 Jul 2014

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    Source URL: arxiv.org

    Language: English - Date: 2014-07-03 21:31:56
    4It’s DE-licious: a recipe for differential expression analyses of RNA-seq experiments using quasi-likelihood methods in edgeR Aaron T. L. Lun1,2 Yunshun Chen1,2

    It’s DE-licious: a recipe for differential expression analyses of RNA-seq experiments using quasi-likelihood methods in edgeR Aaron T. L. Lun1,2 Yunshun Chen1,2

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    Source URL: www.statsci.org

    Language: English - Date: 2015-04-07 19:58:53
    5Discussion Article  Rejoinder Andrew GELMAN I appreciate Buja’s generous comments and will briefly clarify some issues regarding the role of data visualization in model checking, and the relevance of Bayesian inference

    Discussion Article Rejoinder Andrew GELMAN I appreciate Buja’s generous comments and will briefly clarify some issues regarding the role of data visualization in model checking, and the relevance of Bayesian inference

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    Source URL: stat.wharton.upenn.edu

    Language: English - Date: 2007-10-12 17:48:09
    6Quasi-Maximum Likelihood Estimators For Spatial Dynamic Panel Data With Fixed E¤ects When Both n and T Are Large: A Nonstationary Case Jihai Yu, Robert de Jong, Lung-fei Leey Department of Economics The Ohio State Unive

    Quasi-Maximum Likelihood Estimators For Spatial Dynamic Panel Data With Fixed E¤ects When Both n and T Are Large: A Nonstationary Case Jihai Yu, Robert de Jong, Lung-fei Leey Department of Economics The Ohio State Unive

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    Source URL: economics.sbs.ohio-state.edu

    Language: English - Date: 2011-12-15 19:09:45
      7A supplement to “Asymptotic Distributions of Quasi-Maximum Likelihood Estimators for Spatial Autoregressive Models” (for reference only; not for publication) Appendix A: Some Useful Lemmas A.1 Uniform Boundedness of

      A supplement to “Asymptotic Distributions of Quasi-Maximum Likelihood Estimators for Spatial Autoregressive Models” (for reference only; not for publication) Appendix A: Some Useful Lemmas A.1 Uniform Boundedness of

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      Source URL: economics.sbs.ohio-state.edu

      Language: English - Date: 2011-12-15 19:09:45
      8Microsoft Word - STAT811 unit outline 2009.doc

      Microsoft Word - STAT811 unit outline 2009.doc

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      Source URL: stat.mq.edu.au

      Language: English - Date: 2014-11-05 17:22:46
      9ASYMPTOTIC DISTRIBUTIONS OF QUASI-MAXIMUM LIKELIHOOD ESTIMATORS FOR SPATIAL AUTOREGRESSIVE MODELS BY LUNG-FEI LEE1 This paper investigates asymptotic properties of the maximim likelihood estimator and the quasi-maximum l

      ASYMPTOTIC DISTRIBUTIONS OF QUASI-MAXIMUM LIKELIHOOD ESTIMATORS FOR SPATIAL AUTOREGRESSIVE MODELS BY LUNG-FEI LEE1 This paper investigates asymptotic properties of the maximim likelihood estimator and the quasi-maximum l

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      Source URL: economics.sbs.ohio-state.edu

      Language: English - Date: 2011-12-15 19:09:45
      10AIAA JOURNAL Vol. 50, No. 5, May 2012 Provably Convergent Multifidelity Optimization Algorithm Not Requiring High-Fidelity Derivatives Andrew March∗ and Karen Willcox†

      AIAA JOURNAL Vol. 50, No. 5, May 2012 Provably Convergent Multifidelity Optimization Algorithm Not Requiring High-Fidelity Derivatives Andrew March∗ and Karen Willcox†

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      Source URL: raphael.mit.edu

      Language: English - Date: 2013-06-19 14:19:05