A New Approach to Fitting Linear Models in High Dimensional Spaces
暂无分享,去创建一个
[1] G. Pólya,et al. Über den zentralen Grenzwertsatz der Wahrscheinlichkeitsrechnung und das Momentenproblem , 1920 .
[2] R. Fisher,et al. On the Mathematical Foundations of Theoretical Statistics , 1922 .
[3] Rory A. Fisher,et al. Theory of Statistical Estimation , 1925, Mathematical Proceedings of the Cambridge Philosophical Society.
[4] A. Wald. Contributions to the Theory of Statistical Estimation and Testing Hypotheses , 1939 .
[5] J. Neumann,et al. Theory of games and economic behavior , 1945, 100 Years of Math Milestones.
[6] C. E. SHANNON,et al. A mathematical theory of communication , 1948, MOCO.
[7] Herbert Robbins,et al. Mixture of Distributions , 1948 .
[8] E. L. Lehmann,et al. Theory of point estimation , 1950 .
[9] Abraham Wald,et al. Statistical Decision Functions , 1951 .
[10] H. Robbins. An Empirical Bayes Approach to Statistics , 1956 .
[11] J. Kiefer,et al. CONSISTENCY OF THE MAXIMUM LIKELIHOOD ESTIMATOR IN THE PRESENCE OF INFINITELY MANY INCIDENTAL PARAMETERS , 1956 .
[12] C. Stein. Inadmissibility of the Usual Estimator for the Mean of a Multivariate Normal Distribution , 1956 .
[13] Solomon Kullback,et al. Information Theory and Statistics , 1960 .
[14] H. Teicher. Identifiability of Mixtures , 1961 .
[15] S. Ikeda. On characterization of the kullback-leibler mean information for continuous probability distributions , 1962 .
[16] Leonard J. Savage,et al. The foundations of statistical inference : a discussion , 1962 .
[17] Jerzy Neyman,et al. Two Breakthroughs in the Theory of Statistical Decision Making , 1962 .
[18] H. Robbins. The Empirical Bayes Approach to Statistical Decision Problems , 1964 .
[19] Stanley L. Sclove,et al. Improved Estimators for Coefficients in Linear Regression , 1968 .
[20] J. Deely,et al. Construction of Sequences Estimating the Mixing Distribution , 1968 .
[21] Keewhan Choi,et al. An Estimation Procedure for Mixtures of Distributions , 1968 .
[22] H. Akaike. Fitting autoregressive models for prediction , 1969 .
[23] J. B. Copas,et al. Compound Decisions and Empirical Bayes , 1969 .
[24] H. Akaike. Statistical predictor identification , 1970 .
[25] L. S. Feldt,et al. THE SELECTION OF VARIABLES IN MULTIPLE REGRESSION ANALYSIS , 1970 .
[26] P. D. M. Macdonald. Comments and Queries Comment on “An Estimation Procedure for Mixtures of Distributions” by Choi and Bulgren , 1971 .
[27] B. Efron,et al. Limiting the Risk of Bayes and Empirical Bayes Estimators—Part I: The Bayes Case , 1971 .
[28] W. J. Studden,et al. Theory Of Optimal Experiments , 1972 .
[29] B. Efron,et al. Limiting the Risk of Bayes and Empirical Bayes Estimators—Part II: The Empirical Bayes Case , 1972 .
[30] B. Efron,et al. Empirical Bayes on vector observations: An extension of Stein's method , 1972 .
[31] H. Akaike,et al. Information Theory and an Extension of the Maximum Likelihood Principle , 1973 .
[32] B. Efron,et al. Stein's Estimation Rule and Its Competitors- An Empirical Bayes Approach , 1973 .
[33] B. Efron,et al. Data Analysis Using Stein's Estimator and its Generalizations , 1975 .
[34] C. Lawson,et al. Solving least squares problems , 1976, Classics in applied mathematics.
[35] R. Shibata. Selection of the order of an autoregressive model by Akaike's information criterion , 1976 .
[36] D. Rubin,et al. Maximum likelihood from incomplete data via the EM - algorithm plus discussions on the paper , 1977 .
[37] B. Efron,et al. Stein's Paradox in Statistics , 1977 .
[38] V. Susarla,et al. Estimation of a mixing distribution function , 1977 .
[39] Changbao Wu,et al. Some iterative procedures for generating nonsingular optimal designs , 1978 .
[40] G. Schwarz. Estimating the Dimension of a Model , 1978 .
[41] Changbao Wu,et al. Some Algorithmic Aspects of the Theory of Optimal Designs , 1978 .
[42] N. Laird. Nonparametric Maximum Likelihood Estimation of a Mixing Distribution , 1978 .
[43] J. Rissanen,et al. Modeling By Shortest Data Description* , 1978, Autom..
[44] W. Cleveland. Robust Locally Weighted Regression and Smoothing Scatterplots , 1979 .
[45] B. G. Quinn,et al. The determination of the order of an autoregression , 1979 .
[46] R. Shibata. An optimal selection of regression variables , 1981 .
[47] Carl Friedrich Gauss. Theoria motus corporum coelestium , 1981 .
[48] J. Friedman,et al. Projection Pursuit Regression , 1981 .
[49] Dankmar Bohning. Convergence of Simar's Algorithm for Finding the Maximum Likelihood Estimate of a Compound Poisson Process , 1982 .
[50] H. Robbins. Some Thoughts on Empirical Bayes Estimation , 1983 .
[51] C. Morris. Parametric Empirical Bayes Inference: Theory and Applications , 1983 .
[52] B. Lindsay. The Geometry of Mixture Likelihoods: A General Theory , 1983 .
[53] J. Rissanen. A UNIVERSAL PRIOR FOR INTEGERS AND ESTIMATION BY MINIMUM DESCRIPTION LENGTH , 1983 .
[54] Anne Lohrli. Chapman and Hall , 1985 .
[55] Z. Bai,et al. On detection of the number of signals in presence of white noise , 1985 .
[56] G. Alistair Watson,et al. A projected lagrangian algorithm for semi-infinite programming , 1985, Math. Program..
[57] H. Robbins. Asymptotically Subminimax Solutions of Compound Statistical Decision Problems , 1985 .
[58] Dankmar Böhning,et al. Numerical estimation of a probability measure , 1985 .
[59] Ritei Shibata,et al. Consistency of model selection and parameter estimation , 1986, Journal of Applied Probability.
[60] R. Dersimonian. Maximum Likelihood Estimation of a Mixing Distribution , 1986 .
[61] A. F. Smith,et al. Statistical analysis of finite mixture distributions , 1986 .
[62] Arthur E. Hoerl,et al. A simulation of biased estimation and subset selection regression techniques , 1986 .
[63] Dankmar Böhning,et al. A vertex-exchange-method in D-optimal design theory , 1986 .
[64] Jack Dongarra,et al. LINPACK Users' Guide , 1987 .
[65] Ker-Chau Li,et al. Asymptotic Optimality for $C_p, C_L$, Cross-Validation and Generalized Cross-Validation: Discrete Index Set , 1987 .
[66] Geoffrey J. McLachlan,et al. Mixture models : inference and applications to clustering , 1989 .
[67] Janos Galambos,et al. Advanced probability theory , 1988 .
[68] J. Berger. Statistical Decision Theory and Bayesian Analysis , 1988 .
[69] Calyampudi R. Rao,et al. A strongly consistent procedure for model selection in a regression problem , 1989 .
[70] Clifford M. Hurvich,et al. Regression and time series model selection in small samples , 1989 .
[71] R. DerSimonian. Correction to Algorithm as 221: Maximum Likelihood Estimation of a Mixing Distribution , 1990 .
[72] J. Maritz,et al. Empirical Bayes Methods, 2nd Edition. , 1990 .
[73] L. Brown. An Ancillarity Paradox Which Appears in Multiple Linear Regression , 1990 .
[74] Ellen B. Roecker,et al. Prediction error and its estimation for subset-selected models , 1991 .
[75] T. Bayes. An essay towards solving a problem in the doctrine of chances , 2003 .
[76] N. L. Johnson,et al. Breakthroughs in Statistics , 1992 .
[77] J. Kalbfleisch,et al. An Algorithm for Computing the Nonparametric MLE of a Mixing Distribution , 1992 .
[78] Alan J. Miller. Subset Selection in Regression , 1992 .
[79] J. Ross Quinlan,et al. C4.5: Programs for Machine Learning , 1992 .
[80] L. Breiman,et al. Submodel selection and evaluation in regression. The X-random case , 1992 .
[81] H. Keselman,et al. Backward, forward and stepwise automated subset selection algorithms: Frequency of obtaining authentic and noise variables , 1992 .
[82] C. Stein,et al. Estimation with Quadratic Loss , 1992 .
[83] J. S. Maritz,et al. Empirical Bayes Methods , 1974 .
[84] L. Breiman. The Little Bootstrap and other Methods for Dimensionality Selection in Regression: X-Fixed Prediction Error , 1992 .
[85] Ping Zhang. Model Selection Via Multifold Cross Validation , 1993 .
[86] J. Friedman,et al. A Statistical View of Some Chemometrics Regression Tools , 1993 .
[87] J. Shao. Linear Model Selection by Cross-validation , 1993 .
[88] I. Johnstone,et al. Ideal spatial adaptation by wavelet shrinkage , 1994 .
[89] D. L. Donoho,et al. Ideal spacial adaptation via wavelet shrinkage , 1994 .
[90] T. Rao,et al. Identifiability in stochastic models : characterization of probability distributions , 1994 .
[91] Dean P. Foster,et al. The risk inflation criterion for multiple regression , 1994 .
[92] Bruce G. Lindsay,et al. A review of semiparametric mixture models , 1995 .
[93] L. Breiman. Better subset regression using the nonnegative garrote , 1995 .
[94] Charles L. Lawson,et al. Solving least squares problems , 1976, Classics in applied mathematics.
[95] C. Chatfield. Model uncertainty, data mining and statistical inference , 1995 .
[96] C. Mallows. More comments on C p , 1995 .
[97] B. Lindsay. Mixture models : theory, geometry, and applications , 1995 .
[98] J. Shao,et al. The jackknife and bootstrap , 1996 .
[99] J. Shao. Bootstrap Model Selection , 1996 .
[100] R. Tibshirani. Regression Shrinkage and Selection via the Lasso , 1996 .
[101] Bradley Efron,et al. R.A. Fisher In The 21St Century , 1997 .
[102] D. Kilpatrick,et al. Numeric Prediction Using Instance-Based Learning with Encoding Length Selection , 1997, ICONIP.
[103] Huaiyu Zhu. On Information and Sufficiency , 1997 .
[104] Bradley P. Carlin,et al. BAYES AND EMPIRICAL BAYES METHODS FOR DATA ANALYSIS , 1996, Stat. Comput..
[105] P. Barbe. Statistical Analysis of Mixtures and the Empirical Probability Measure , 1998 .
[106] Hiroshi Motoda,et al. Feature Selection for Knowledge Discovery and Data Mining , 1998, The Springer International Series in Engineering and Computer Science.
[107] D. Böhning,et al. Some News about C.A.MAN Computer Assisted Analysis of Mixtures , 1998 .
[108] A. McQuarrie,et al. Regression and Time Series Model Selection , 1998 .
[109] Catherine Blake,et al. UCI Repository of machine learning databases , 1998 .
[110] C. H. Oh,et al. Some comments on , 1998 .
[111] H. Müller,et al. Local Polynomial Modeling and Its Applications , 1998 .
[112] David R. Anderson,et al. Model Selection and Inference: A Practical Information-Theoretic Approach , 2001 .
[113] Jack Dongarra,et al. LAPACK Users' Guide, 3rd ed. , 1999 .
[114] T. Louis,et al. Empirical Bayes: Past, Present and Future , 2000 .
[115] Guohua Pan,et al. Local Regression and Likelihood , 1999, Technometrics.
[116] M. Wand. Local Regression and Likelihood , 2001 .
[117] Ian H. Witten,et al. Data mining: practical machine learning tools and techniques with Java implementations , 2002, SGMD.