Least squares

Results: 2529



#Item
21Proof, beliefs, and algorithms through the lens of sum-of-squares 1 Tensor decomposition via sum of squares One of the most basic tools in data analysis is least squares regression.

Proof, beliefs, and algorithms through the lens of sum-of-squares 1 Tensor decomposition via sum of squares One of the most basic tools in data analysis is least squares regression.

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Source URL: sumofsquares.org

- Date: 2016-11-17 19:44:26
    22Math 515 Fall, 2014 Homework 5, due Tuesday, November 4. In many applications the solution to a least squares (LS) problem needs to be modified as new data is collected. For example, assume an LS problem min ||b − Ax||

    Math 515 Fall, 2014 Homework 5, due Tuesday, November 4. In many applications the solution to a least squares (LS) problem needs to be modified as new data is collected. For example, assume an LS problem min ||b − Ax||

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    Source URL: www.mathcs.emory.edu

    - Date: 2014-10-23 08:38:32
      23Problem Set 10: Earthquake location with generalized least squares GEOS 626: Applied Seismology, Carl Tape Last compiled: May 5,

      Problem Set 10: Earthquake location with generalized least squares GEOS 626: Applied Seismology, Carl Tape Last compiled: May 5,

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      Source URL: www.giseis.alaska.edu

      - Date: 2016-05-05 16:26:12
        24Multi-Objective Least-Squares Stephen Boyd EE103 Stanford University November 10, 2015

        Multi-Objective Least-Squares Stephen Boyd EE103 Stanford University November 10, 2015

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        Source URL: stanford.edu

        - Date: 2015-11-10 13:11:50
          25Problem Set 5: Iterative methods with generalized least squares GEOS 627: Inverse Problems and Parameter Estimation, Carl Tape Assigned: February 16, 2015 — Due: March 2, 2015 Last compiled: March 26, 2015 Overview an

          Problem Set 5: Iterative methods with generalized least squares GEOS 627: Inverse Problems and Parameter Estimation, Carl Tape Assigned: February 16, 2015 — Due: March 2, 2015 Last compiled: March 26, 2015 Overview an

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          Source URL: www.giseis.alaska.edu

          - Date: 2015-03-26 19:41:13
            26Valuing American Options by Simulation: A Simple Least-Squares Approach Francis A. Longstaff UCLA Eduardo S. Schwartz UCLA

            Valuing American Options by Simulation: A Simple Least-Squares Approach Francis A. Longstaff UCLA Eduardo S. Schwartz UCLA

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            Source URL: people.math.ethz.ch

            - Date: 2008-03-03 01:14:00
              27Oikos 118: 681690, 2009 doi: j16881.x, # 2009 The Authors. Journal compilation # 2009 Oikos Subject Editor: Tim Benton. Accepted 17 NovemberPartial least squares regression as an alternati

              Oikos 118: 681690, 2009 doi: j16881.x, # 2009 The Authors. Journal compilation # 2009 Oikos Subject Editor: Tim Benton. Accepted 17 NovemberPartial least squares regression as an alternati

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              Source URL: www.lmcarrascal.eu

              - Date: 2011-03-04 09:48:41
                28Assessing Least Squares Monte Carlo for the Kulatilaka Trigeorgis General Real Options Pricing Model Giuseppe Alesii∗ 18th June 2008

                Assessing Least Squares Monte Carlo for the Kulatilaka Trigeorgis General Real Options Pricing Model Giuseppe Alesii∗ 18th June 2008

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                Source URL: www.istfin.eco.usi.ch

                - Date: 2010-09-09 04:08:02
                  29Assessing stochastic algorithms for large scale nonlinear least squares problems using extremal probabilities of linear combinations of gamma random variables Farbod Roosta-Khorasani∗

                  Assessing stochastic algorithms for large scale nonlinear least squares problems using extremal probabilities of linear combinations of gamma random variables Farbod Roosta-Khorasani∗

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                  Source URL: www.stat.berkeley.edu

                  - Date: 2016-01-22 15:04:49
                    30Adaptive Least Squares Estimation of the Time-Varying Taylor Rule

                    Adaptive Least Squares Estimation of the Time-Varying Taylor Rule

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                    Source URL: www.econ.ohio-state.edu

                    - Date: 2012-01-12 12:02:18