Related references
Note: Only part of the references are listed.A new model selection procedure for finite mixture regression models
Conglian Yu et al.
COMMUNICATIONS IN STATISTICS-THEORY AND METHODS (2020)
Maximum smoothed likelihood estimation for a class of semiparametric Pareto mixture densities
Mian Huang et al.
STATISTICS AND ITS INTERFACE (2018)
MODEL SELECTION FOR GAUSSIAN MIXTURE MODELS
Tao Huang et al.
STATISTICA SINICA (2017)
LARGE SAMPLE PROPERTIES OF THE SCAD-PENALIZED MAXIMUM LIKELIHOOD ESTIMATION ON HIGH DIMENSIONS
Sunghoon Kwon et al.
STATISTICA SINICA (2012)
COORDINATE DESCENT ALGORITHMS FOR NONCONVEX PENALIZED REGRESSION, WITH APPLICATIONS TO BIOLOGICAL FEATURE SELECTION
Patrick Breheny et al.
ANNALS OF APPLIED STATISTICS (2011)
Regularization Paths for Generalized Linear Models via Coordinate Descent
Jerome Friedman et al.
JOURNAL OF STATISTICAL SOFTWARE (2010)
l1-penalization for mixture regression models
Nicolas Staedler et al.
TEST (2010)
Order Selection in Finite Mixture Models With a Nonsmooth Penalty
Jiahua Chen et al.
JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION (2008)
Smoothly Clipped Absolute Deviation on High Dimensions
Yongdai Kim et al.
JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION (2008)
Variable selection in finite mixture of regression models
Abbas Khalili et al.
JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION (2007)
Robust regression shrinkage and consistent variable selection through the LAD-lasso
Hansheng Wang et al.
JOURNAL OF BUSINESS & ECONOMIC STATISTICS (2007)
Nonconcave penalized likelihood with a diverging number of parameters
JQ Fan et al.
ANNALS OF STATISTICS (2004)
PE ratios, PEG ratios, and estimating the implied expected rate of return on equity capital
PD Easton
ACCOUNTING REVIEW (2004)
Hypothesis testing in mixture regression models
HT Zhu et al.
JOURNAL OF THE ROYAL STATISTICAL SOCIETY SERIES B-STATISTICAL METHODOLOGY (2004)
Estimating mixtures of regressions
M Hurn et al.
JOURNAL OF COMPUTATIONAL AND GRAPHICAL STATISTICS (2003)
Choosing initial values for the EM algorithm for finite mixtures
D Karlis et al.
COMPUTATIONAL STATISTICS & DATA ANALYSIS (2003)
Model-based clustering, discriminant analysis, and density estimation
C Fraley et al.
JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION (2002)
Variable selection via nonconcave penalized likelihood and its oracle properties
JQ Fan et al.
JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION (2001)
Biases and lags in book value and their effects on the ability of the book-to-market ratio to predict book return on equity
WH Beaver et al.
JOURNAL OF ACCOUNTING RESEARCH (2000)
Share Paper
