Gauss on least-squares and maximum-likelihood estimation
- MathematicsSSRN Electronic Journal
Gauss’ 1809 discussion of least squares, which can be viewed as the beginning of mathematical statistics, is reviewed. The general consensus seems to be that Gauss’ arguments are at fault, but we…
Sparse Relaxed Regularized Regression: SR3
- Computer ScienceArXiv
A new and highly effective approach for regularized regression, called SR3, to solve a relaxation of the regularized problem, which has three advantages over the state-of-the-art: solutions of the relaxed problem are superior with respect to errors, false positives, and conditioning.
Integer Ambiguity Resolution for Multi-GNSS and Multi-Signal Raw Phase Observations
The carrier phase Integer Ambiguity Resolution (IAR) approach developed and implemented in the course of this work is based on the joint processing of multi-GNSS and multi-signal raw observations without forming any linear combinations or observation differences.
Systems of Structured Monotone Inclusions: Duality, Algorithms, and Applications
- MathematicsSIAM J. Optim.
A general primal-dual splitting algorithm for solving systems of structured coupled monotone inclusions in Hilbert spaces is introduced and its asymptotic behavior is analyzed, providing a flexible solution method applicable to a variety of problems beyond the reach of the state-of-the-art.
The latent distribution of a rating observed
- Journal of Wine Research
ABSTRACT While extensive literature shows that the rating assigned by a critic or judge to a wine is one draw from a latent distribution, little has been published about the shape of that…
Quantification of Kuramoto Coupling Between Intrinsic Brain Networks Applied to fMRI Data in Major Depressive Disorder
- BiologyFrontiers in Computational Neuroscience
The results indicate that the calculation of Ks can be a useful addition to standard methods of quantifying the brain's functional architecture and that a ground truth of parametric dependencies on artificial regressors can be recovered.
Degree and noise power estimation from noisy polynomial data via AR modelling
- Computer Science, MathematicsDigit. Signal Process.
Fixed Point Strategies in Data Science
- Computer ScienceIEEE Transactions on Signal Processing
Fixed point strategies are seen to constitute a natural environment to explain the behavior of advanced convex optimization methods as well as of recent nonlinear methods in data science which are formulated in terms of paradigms that go beyond minimization concepts and involve constructs such as Nash equilibria or monotone inclusions.
AMERICAN ASSOCIATION OF WINE ECONOMISTS
While much literature shows that the ratings assigned by critics and judges to wines are stochastic, no author has yet proposed and tested a probability mass function (PMF) to describe the…