Linear regression

[1]  Roderick J. A. Little,et al.  Statistical Analysis with Missing Data: Little/Statistical Analysis with Missing Data , 2002 .

[2]  Paul Meier Estimating Historical Heights: Comment , 1982 .

[3]  C. L. Mallows Some comments on C_p , 1973 .

[4]  G. Schwarz Estimating the Dimension of a Model , 1978 .

[5]  Clifford M. Hurvich,et al.  Regression and time series model selection in small samples , 1989 .

[6]  G. Box,et al.  Transformation of the Independent Variables , 1962 .

[7]  Keming Yu,et al.  Bayesian Mode Regression , 2012, 1208.0579.

[8]  Peter J. Huber,et al.  Robust Statistics , 2005, Wiley Series in Probability and Statistics.

[9]  Peter E. Rossi,et al.  Bayesian Statistics and Marketing: Rossi/Bayesian Statistics and Marketing , 2006 .

[10]  Hansheng Wang Forward Regression for Ultra-High Dimensional Variable Screening , 2009 .

[11]  J. Kuha AIC and BIC , 2004 .

[12]  J. Wolfowitz,et al.  On a Test Whether Two Samples are from the Same Population , 1940 .

[13]  W Y Zhang,et al.  Discussion on `Sure independence screening for ultra-high dimensional feature space' by Fan, J and Lv, J. , 2008 .

[14]  George Casella,et al.  Minimax Ridge Regression Estimation , 1980 .

[15]  Ilya Shmulevich,et al.  Robust regression for periodicity detection in non-uniformly sampled time-course gene expression data , 2007, BMC Bioinformatics.

[16]  Jianqing Fan,et al.  Sure independence screening for ultrahigh dimensional feature space , 2006, math/0612857.

[17]  R. Koenker Quantile Regression: Name Index , 2005 .

[18]  David C. Hoaglin,et al.  A Critical Look at Some Analyses of Major League Baseball Salaries , 1995 .

[19]  Peter Craven,et al.  Smoothing noisy data with spline functions , 1978 .

[20]  S. Weisberg Applied Linear Regression: Weisberg/Applied Linear Regression 3e , 2005 .

[21]  R. Tibshirani,et al.  Regression shrinkage and selection via the lasso: a retrospective , 2011 .

[22]  David Ruppert,et al.  On prediction and the power transformation family , 1981 .

[23]  Ruey S. Tsay,et al.  Analysis of Financial Time Series: Tsay/Analysis of Financial Time Series , 2005 .

[24]  M. Turiel,et al.  Power Spectral Analysis of Heart Rate and Arterial Pressure Variabilities as a Marker of Sympatho‐Vagal Interaction in Man and Conscious Dog , 1986, Circulation research.

[25]  Kinga Howorka,et al.  Functional assessment of heart rate variability: physiological basis and practical applications. , 2002, International journal of cardiology.

[26]  Alan J. Lee,et al.  Linear Regression Analysis: Seber/Linear , 2003 .

[27]  J. Ibrahim,et al.  Perturbation selection and influence measures in local influence analysis , 2007, 0803.2986.

[28]  Geoffrey J. McLachlan,et al.  Finite Mixture Models , 2019, Annual Review of Statistics and Its Application.

[29]  David R. Anderson,et al.  Multimodel Inference , 2004 .

[30]  A. Agresti Categorical data analysis , 1993 .

[31]  J. Ware,et al.  Random-effects models for longitudinal data. , 1982, Biometrics.

[32]  D. Madigan,et al.  Bayesian Model Averaging for Linear Regression Models , 1997 .

[33]  D. Cox,et al.  An Analysis of Transformations Revisited, Rebutted , 1982 .

[34]  Yuhong Yang Can the Strengths of AIC and BIC Be Shared , 2005 .

[35]  H. White A Heteroskedasticity-Consistent Covariance Matrix Estimator and a Direct Test for Heteroskedasticity , 1980 .

[36]  Sam Kwong,et al.  Hilbert-Huang Transform for Analysis of Heart Rate Variability in Cardiac Health , 2011, IEEE/ACM Transactions on Computational Biology and Bioinformatics.

[37]  Кпсс,et al.  Первая конференция военных и боевых организаций РСДРП. Ноябрь 1906 год , 1932 .

[38]  Ker-Chau Li,et al.  Sliced Inverse Regression for Dimension Reduction , 1991 .

[39]  A. Malliani,et al.  Power spectrum analysis of heart rate variability: a tool to explore neural regulatory mechanisms. , 1994, British heart journal.

[40]  David M. Allen,et al.  The Relationship Between Variable Selection and Data Agumentation and a Method for Prediction , 1974 .

[41]  C. J. Stone,et al.  Additive Regression and Other Nonparametric Models , 1985 .

[42]  Nils Lid Hjort,et al.  Model Selection and Model Averaging: Contents , 2008 .

[43]  S. Shapiro,et al.  An Analysis of Variance Test for Normality (Complete Samples) , 1965 .

[44]  J. Friedman,et al.  Estimating Optimal Transformations for Multiple Regression and Correlation. , 1985 .

[45]  Keith E Muller,et al.  THE DISTRIBUTION OF COOK'S D STATISTIC. , 1997, Communications in statistics: theory and methods.

[46]  Massimo Pagani,et al.  Stress Management at the Worksite: Reversal of Symptoms Profile and Cardiovascular Dysregulation , 2007, Hypertension.

[47]  R. Tibshirani Estimating Transformations for Regression via Additivity and Variance Stabilization , 1988 .

[48]  S. Weisberg,et al.  Diagnostics for heteroscedasticity in regression , 1983 .

[49]  G. Moody,et al.  Power spectral density of unevenly sampled data by least-square analysis: performance and application to heart rate signals , 1998, IEEE Transactions on Biomedical Engineering.

[50]  Peter Bühlmann Regression shrinkage and selection via the Lasso: a retrospective (Robert Tibshirani): Comments on the presentation , 2011 .

[51]  G. Seber,et al.  Nonlinear Regression: Seber/Nonlinear Regression , 2005 .

[52]  Jianqing Fan,et al.  Variable Selection via Nonconcave Penalized Likelihood and its Oracle Properties , 2001 .

[53]  Runze Li,et al.  Tuning parameter selectors for the smoothly clipped absolute deviation method. , 2007, Biometrika.