A NONPARAMETRIC HELLINGER METRIC TEST FOR CONDITIONAL INDEPENDENCE
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[1] W. Hoeffding. A Non-Parametric Test of Independence , 1948 .
[2] J. Kiefer,et al. DISTRIBUTION FREE TESTS OF INDEPENDENCE BASED ON THE SAMPLE DISTRIBUTION FUNCTION , 1961 .
[3] P. Bickel,et al. On Some Global Measures of the Deviations of Density Function Estimates , 1973 .
[4] R. Gronau. Wage Comparisons--A Selectivity Bias , 1973, Journal of Political Economy.
[5] J. Heckman. Shadow prices, market wages, and labor supply , 1974 .
[6] C. Manski. MAXIMUM SCORE ESTIMATION OF THE STOCHASTIC UTILITY MODEL OF CHOICE , 1975 .
[7] M. Rosenblatt. A Quadratic Measure of Deviation of Two-Dimensional Density Estimates and A Test of Independence , 1975 .
[8] K. Yoshihara. Limiting behavior of U-statistics for stationary, absolutely regular processes , 1976 .
[9] E. J. G. Pitman,et al. Some basic theory for statistical inference , 1979 .
[10] A. Dawid. Conditional Independence in Statistical Theory , 1979 .
[11] C. Granger. Testing for causality: a personal viewpoint , 1980 .
[12] J. Florens,et al. A Note on Noncausality , 1982 .
[13] P. Rosenbaum. Testing the conditional independence and monotonicity assumptions of item response theory , 1984 .
[14] P. Hall. Central limit theorem for integrated square error of multivariate nonparametric density estimators , 1984 .
[15] H. Müller,et al. Kernels for Nonparametric Curve Estimation , 1985 .
[16] Radhey S. Singh. Mise of kernel estimates of a density and its derivatives , 1987 .
[17] P. Robinson. ROOT-N-CONSISTENT SEMIPARAMETRIC REGRESSION , 1988 .
[18] P. Phillips. Conditional and unconditional statistical independence , 1988 .
[19] P. Robinson. Consistent Nonparametric Entropy-Based Testing , 1991 .
[20] Leonard M. Adleman,et al. Proof of proposition 3 , 1992 .
[21] W. Newey,et al. Kernel Estimation of Partial Means and a General Variance Estimator , 1994, Econometric Theory.
[22] J. Horowitz. A Smoothed Maximum Score Estimator for the Binary Response Model , 1992 .
[23] E. Mammen,et al. Comparing Nonparametric Versus Parametric Regression Fits , 1993 .
[24] R. Spady,et al. AN EFFICIENT SEMIPARAMETRIC ESTIMATOR FOR BINARY RESPONSE MODELS , 1993 .
[25] D. Tritchler,et al. An Exact Analysis of Conditional Independence in Several 2 x 2 Contingency Tables , 1993 .
[26] Hans J. Skaug,et al. A nonparametric test of serial independence based on the empirical distribution function , 1993 .
[27] Craig Hiemstra,et al. Testing for Linear and Nonlinear Granger Causality in the Stock Price-Volume Relation , 1994 .
[28] Donald W. K. Andrews,et al. Nonparametric Kernel Estimation for Semiparametric Models , 1995, Econometric Theory.
[29] Yanqin Fan,et al. Consistent model specification tests : Omitted variables and semiparametric functional forms , 1996 .
[30] Elias Masry,et al. MULTIVARIATE LOCAL POLYNOMIAL REGRESSION FOR TIME SERIES:UNIFORM STRONG CONSISTENCY AND RATES , 1996 .
[31] Eckhard Liebscher,et al. Strong convergence of sums of α-mixing random variables with applications to density estimation , 1996 .
[32] B. LeBaron,et al. A test for independence based on the correlation dimension , 1996 .
[33] O. Linton,et al. Conditional Independence Restrictions: Testing and Estimation , 1996 .
[34] Jim Malley,et al. A non-parametric approach to non-linear causality testing , 1996 .
[35] Jean-Pierre Florens,et al. Noncausality in Continuous Time , 1996 .
[36] J. Angrist. Conditional Independence in Sample Selection Models , 1997 .
[37] Wenceslao González Manteiga,et al. Significance testing in nonparametric regression based on the bootstrap , 2001 .
[38] Qi Li,et al. Central limit theorem for degenerate U-Statistics of Absolutely Regular Processes with Applications to Model Specification Testing , 1999 .
[39] Qi Li,et al. Consistent model specification tests for time series econometric models , 1999 .
[40] Yongmiao Hong,et al. M-Testing Using Finite and Infinite Dimensional Parameter Estimators , 1999 .
[41] Yoshihiko Nishiyama,et al. Edgeworth expansions for semiparametric averaged derivatives , 2000 .
[42] Yanqin Fan,et al. Root-n-consistent estimation of partially linear time series models , 1999 .
[43] Efstathios Paparoditis,et al. The Local Bootstrap for Kernel Estimators under General Dependence Conditions , 2000 .
[44] Efstathios Paparoditis,et al. On bootstrapping L2-type statistics in density testing , 2000 .
[45] Xiaohong Chen,et al. The Estimation of Conditional Densities , 2001 .
[46] Carlos Tenreiro,et al. Local Power Properties of Kernel Based Goodness of Fit Tests , 2001 .
[47] Joel L. Horowitz,et al. An Adaptive, Rate-Optimal Test of a Parametric Mean-Regression Model Against a Nonparametric Alternative , 2001 .
[48] Thomas M. Stoker,et al. Goodness-of-fit tests for kernel regression with an application to option implied volatilities , 2001 .
[49] Yongmiao Hong. A test for volatility spillover with application to exchange rates , 2001 .
[50] Edgeworth approximations for semiparametric instrumental variable estimators and test statistics , 2002 .
[51] H. White,et al. ASYMPTOTIC DISTRIBUTION THEORY FOR NONPARAMETRIC ENTROPY MEASURES OF SERIAL DEPENDENCE , 2005 .
[52] J. Rombouts,et al. Nonparametric Copula-Based Test for Conditional Independence with Applications to Granger Causality , 2012 .
[53] Sokbae Lee,et al. Nonparametric Tests of Conditional Treatment Effects , 2009 .
[54] Marcelo Fernandes,et al. Nonparametric Entropy-Based Tests of Independence Between Stochastic Processes , 2009 .