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Precision (statistics)

  • Solving the Multi-Way Matching Problem by Permutation Synchronization

    Solving the Multi-Way Matching Problem by Permutation Synchronization

  • Arxiv:1912.06217V3 [Math.NA] 27 Feb 2021

    Arxiv:1912.06217V3 [Math.NA] 27 Feb 2021

  • Arxiv:1709.00765V4 [Cond-Mat.Stat-Mech] 14 Oct 2019

    Arxiv:1709.00765V4 [Cond-Mat.Stat-Mech] 14 Oct 2019

  • On the Asymptotic Existence of Partial Complex Hadamard Matrices And

    On the Asymptotic Existence of Partial Complex Hadamard Matrices And

  • Triangular Factorization

    Triangular Factorization

  • Think Global, Act Local When Estimating a Sparse Precision

    Think Global, Act Local When Estimating a Sparse Precision

  • Mata Glossary of Common Terms

    Mata Glossary of Common Terms

  • The Use of the Vec-Permutation Matrix in Spatial Matrix Population Models Christine M

    The Use of the Vec-Permutation Matrix in Spatial Matrix Population Models Christine M

  • Sparse Precision Matrix Estimation Via Lasso Penalized D-Trace Loss

    Sparse Precision Matrix Estimation Via Lasso Penalized D-Trace Loss

  • An Efficient ADMM Algorithm for High Dimensional Precision Matrix

    An Efficient ADMM Algorithm for High Dimensional Precision Matrix

  • Estimation of the Multivariate Normal Precision and Covariance Matrices in a Star-Shape Model*

    Estimation of the Multivariate Normal Precision and Covariance Matrices in a Star-Shape Model*

  • Iterative Algorithms for Large Stochastic Matrices

    Iterative Algorithms for Large Stochastic Matrices

  • Proximal Approaches for Matrix Optimization Problems: Application to Robust Precision Matrix Estimation?

    Proximal Approaches for Matrix Optimization Problems: Application to Robust Precision Matrix Estimation?

  • The Jordan-Form Proof Made Easy∗

    The Jordan-Form Proof Made Easy∗

  • Estimating 3-D Rigid Body Transformations: a Comparison of Four Major Algorithms

    Estimating 3-D Rigid Body Transformations: a Comparison of Four Major Algorithms

  • Approaches to High-Dimensional Covariance and Precision Matrix Estimation

    Approaches to High-Dimensional Covariance and Precision Matrix Estimation

  • 1 Normal Theory and the Precision Matrix

    1 Normal Theory and the Precision Matrix

  • An Improved Modified Cholesky Decomposition Approach For

    An Improved Modified Cholesky Decomposition Approach For

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  • Novel Fast Algorithms for Low Rank Matrix Approximation
  • Scaling up Hartree–Fock Calculations on Tianhe-2
  • Extension of the Set of Complex Hadamard Matrices of Size 8
  • Proximal Approaches for Matrix Optimization
  • Direct Solution of the Inverse Stochastic Problem Through Elementary Markov State Disaggregation Lorenzo Ciampolini, Sylvain Meignen, Olivier Menut, Turgis David
  • Matrix Inverses
  • The Accurate and Efficient Solution of a Totally Positive Generalized Vandermonde Linear System∗
  • Stat 309: Mathematical Computations I Fall 2013 Lecture 5
  • Techniques for High-Performance Construction of Fock Matrices H
  • Precision Matrix Estimation by Inverse Principal Orthogonal Decomposition
  • Estimating Sparse Precision Matrix: Optimal Rates of Convergence and Adaptive Estimation
  • Compressed Sensing with Combinatorial Designs: Theory And
  • CSE 167: Problems on Transformations and Opengl
  • General Total Least Squares Theory for Geodetic Coordinate Transformations
  • Optimal Approximation of Doubly Stochastic Matrices
  • Approximation Methods in Quantum Chemistry: Application to SCF and MP2
  • Covariance Versus Precision Matrix Estimation for Efficient Asset
  • Roots of Stochastic Matrices and Fractional Matrix Powers


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