User:Zvika

Source: Wikipedia, the free encyclopedia.

Hi! I'm Zvika. I live in Haifa, Israel. I am an electrical engineering graduate student. Click here to see my homepage.

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New articles

Anti-causal filter
Arrowhead matrixBayes estimatorChain codeChapman–Robbins boundDanskin's theoremErgodic process
James-Stein estimator
Alona KimhiL-estimatorMutual coherence (linear algebra)Orthogonality principleQ-functionRelative interiorRestricted isometry propertySpark (mathematics)Stein's unbiased risk estimate

Major changesChi-squared distribution

Cramér-Rao bound
(extensive modifications) • Exponential family (large parts rewritten, with User:Pdbailey) • Minimum mean square errorSampling (signal processing) (major overhaul) • Stein's example (rewritten from scratch)

Wikipedia Signpost ArticlesMediaWiki search engine improved (2008-11-10) • GFDL 1.3 released (2008-11-17) • Review of The Future of the Internet (2009-6-1)

Other • Separating

sample bias
• Changes to Dirac delta function and related articles • A section on the limitations of the linear least squares estimator • Location parameter expanded • As part of a university course which I TAed (details), I helped students write or improve the articles Uniformly most powerful test, Kernel smoother, Regret (decision theory), Bayes estimator, Chebyshev center, Invariant estimator, Minimax estimator, Redescending M-estimator, Location estimation in sensor networks.

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Related to optimization

Related to sparse estimation

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References

  • Golub, G. H.; Van Loan, C. F. (1996). Matrix Computations. Baltimore: Johns Hopkins University Press. p. 320.
    ISBN 0-8018-5413-X.{{cite book}}: CS1 maint: multiple names: authors list (link
    )
  • Grimmett, G. (2001). Probability and Random Processes (3rd ed.). Oxford. {{cite book}}: Unknown parameter |coauthors= ignored (|author= suggested) (help)
  • Lehmann, E. L. (1998). Theory of Point Estimation (2nd ed.). Springer.
    ISBN 0-387-98502-6. {{cite book}}: Unknown parameter |coauthors= ignored (|author= suggested) (help
    )
  • Kay, S. M. (1993). Fundamentals of Statistical Signal Processing: Estimation Theory. Prentice Hall. .
  • Papoulis, Athanasios (1991). Probability, random variables, and stochastic processes. New York: McGraw-Hill. .
  • Porat, B. (1994). Digital Processing of Random Signals: Theory & Methods. Prentice Hall. .
  • Rudin, W. (1991), Functional Analysis (2nd ed.), Boston, MA: McGraw-Hill,
  • Shao, Jun (1998), Mathematical Statistics, New York: Springer,