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Orthogonalizing EM: A design-based least squares algorithm.

Orthogonalizing EM: A design-based least squares algorithm.

http://www.wikidata.org/entity/Q37152860

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PyLDM - An open source package for lifetime density analysis of time-resolved spectroscopic data.

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Orthogonalizing EM: A design-based least squares algorithm.

http://www.wikidata.org/entity/Q37152860

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article científic

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article scientifique

@fr

articolo scientifico

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artigo científico

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bilimsel makale

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scientific article published on 08 July 2016

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vedecký článok

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vetenskaplig artikel

@sv

videnskabelig artikel

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vědecký článek

@cs

name

Orthogonalizing EM: A design-based least squares algorithm.

@en

Orthogonalizing EM: A design-based least squares algorithm.

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type

label

Orthogonalizing EM: A design-based least squares algorithm.

@en

Orthogonalizing EM: A design-based least squares algorithm.

@nl

prefLabel

Orthogonalizing EM: A design-based least squares algorithm.

@en

Orthogonalizing EM: A design-based least squares algorithm.

@nl

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00401706.2015.1054436

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Orthogonalizing EM: A design-based least squares algorithm.

@en

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Bin Dai

http://www.w3.org/2001/XMLSchema#string

Jared Huling

http://www.w3.org/2001/XMLSchema#string

Peter Z G Qian

http://www.w3.org/2001/XMLSchema#string

Shifeng Xiong

http://www.w3.org/2001/XMLSchema#string

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Regularization Paths for Generalized Linear Models via Coordinate Descent

SparseNet: Coordinate Descent With Nonconvex Penalties

Non-Concave Penalized Likelihood with NP-Dimensionality.

Tuning parameter selectors for the smoothly clipped absolute deviation method.

One-step Sparse Estimates in Nonconcave Penalized Likelihood Models.

COORDINATE DESCENT ALGORITHMS FOR NONCONVEX PENALIZED REGRESSION, WITH APPLICATIONS TO BIOLOGICAL FEATURE SELECTION.

Discussion of "Sure Independence Screening for Ultra-High Dimensional Feature Space

Variable Selection using MM Algorithms.

On the Convergence Properties of the EM Algorithm

A Statistical View of Some Chemometrics Regression Tools

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285-293

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scholarly article

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10.1080/00401706.2015.1054436

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3

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58

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2016-07-08T00:00:00Z

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27499558

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4974022

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