Optimal estimation

Results: 196



#Item
4118  Optimal estimation of catch by the continuous underway fish egg sampler based on a model of the vertical distribution of American plaice (Hippoglossoides platessoides) eggs P. Pepin, K. A. Curtis, P. V. R. Snelgrove

18 Optimal estimation of catch by the continuous underway fish egg sampler based on a model of the vertical distribution of American plaice (Hippoglossoides platessoides) eggs P. Pepin, K. A. Curtis, P. V. R. Snelgrove

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Source URL: www.physics.mun.ca

Language: English - Date: 2007-02-26 13:15:29
    42The Optimal State Estimation Method, A Tool To Integrate Full Scale Shock Trial Measurement Data And Numerical Models Wim Trouwborst TNO Building and Construction Research, Centre for Mechanical Engineering P.O. Box 49,

    The Optimal State Estimation Method, A Tool To Integrate Full Scale Shock Trial Measurement Data And Numerical Models Wim Trouwborst TNO Building and Construction Research, Centre for Mechanical Engineering P.O. Box 49,

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    Source URL: www.tno.nl

    Language: English - Date: 2015-06-22 10:52:43
      43Optimal Probability Estimation with Applications to Prediction and Classification Jayadev Acharya∗, Ashkan Jafarpour†, Alon Orlitksy‡, and Ananda Theertha Suresh§ University of California, San Diego March 29, 2014

      Optimal Probability Estimation with Applications to Prediction and Classification Jayadev Acharya∗, Ashkan Jafarpour†, Alon Orlitksy‡, and Ananda Theertha Suresh§ University of California, San Diego March 29, 2014

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      Source URL: people.csail.mit.edu

      Language: English - Date: 2014-04-07 14:13:34
        44Probab. Theory Relat. Fields 113, 415–On rate and sharp optimal estimation? Sam Efromovich Department of Mathematics and Statistics, University of New Mexico, Albuquerque, NM 87131, USA

        Probab. Theory Relat. Fields 113, 415–On rate and sharp optimal estimation? Sam Efromovich Department of Mathematics and Statistics, University of New Mexico, Albuquerque, NM 87131, USA

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        Source URL: www.stat.yale.edu

        Language: English - Date: 2005-04-28 21:01:18
          45th  Proceedings of 17 International TOVS Study Conference; Monterey, USA; 14-20 April 2010 Beyond optimal estimation: sensitivity of analysis error to the specification of background error

          th Proceedings of 17 International TOVS Study Conference; Monterey, USA; 14-20 April 2010 Beyond optimal estimation: sensitivity of analysis error to the specification of background error

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          Source URL: cimss.ssec.wisc.edu

          Language: English - Date: 2010-12-03 16:32:34
            46An Efficient Branch-and-Bound Algorithm for Optimal Human Pose Estimation Min Sun Murali Telaprolu Honglak Lee Silvio Savarese Department of EECS, University of Michigan, Ann Arbor, MIAbstract

            An Efficient Branch-and-Bound Algorithm for Optimal Human Pose Estimation Min Sun Murali Telaprolu Honglak Lee Silvio Savarese Department of EECS, University of Michigan, Ann Arbor, MIAbstract

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            Source URL: web.eecs.umich.edu

            Language: English - Date: 2012-04-09 13:50:58
              47NML-OPTIMAL HISTOGRAM DENSITY ESTIMATION Petri Kontkanen and Petri Myllym¨aki Complex Systems Computation Group (CoSCo) Helsinki Institute for Information Technology (HIIT) University of Helsinki and Helsinki University

              NML-OPTIMAL HISTOGRAM DENSITY ESTIMATION Petri Kontkanen and Petri Myllym¨aki Complex Systems Computation Group (CoSCo) Helsinki Institute for Information Technology (HIIT) University of Helsinki and Helsinki University

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              Source URL: sp.cs.tut.fi

              Language: English - Date: 2008-08-07 07:15:00
              48Modelling Optimal Instrumental Variables for Dynamic Panel Data Models Manuel Arellano∗ CEMFI, Madrid  Abstract

              Modelling Optimal Instrumental Variables for Dynamic Panel Data Models Manuel Arellano∗ CEMFI, Madrid Abstract

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              Source URL: www.cemfi.es

              Language: English - Date: 2012-04-13 04:43:56
              49Random signals: simplified descriptions Optimal Wiener filters SGNAdvanced Signal Processing: Lecture 3: Optimal Wiener Filters Ioan Tabus

              Random signals: simplified descriptions Optimal Wiener filters SGNAdvanced Signal Processing: Lecture 3: Optimal Wiener Filters Ioan Tabus

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              Source URL: www.cs.tut.fi

              Language: English - Date: 2013-09-17 07:37:04
              50A geometric characterization of c-optimal designs for heteroscedastic regression Holger Dette Tim Holland-Letz

              A geometric characterization of c-optimal designs for heteroscedastic regression Holger Dette Tim Holland-Letz

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              Source URL: www.statistik.tu-dortmund.de

              Language: English - Date: 2009-01-12 11:08:18