D. Cox

发表

MULTIVARIATE SMOOTHING SPLINE FUNCTIONS

D. Cox, 1984 .

Approximation of Least Squares Regression on Nested Subspaces

D. Cox, 1988 .

Asymptotic Analysis of Penalized Likelihood and Related Estimators

D. Cox, F. O’Sullivan, 1990 .

An Analysis of Bayesian Inference for Nonparametric Regression

D. Cox, 1993 .

Exponential convergence of adaptive importance sampling for Markov chains

D. Cox, K. Baggerly, Rick Picard, 2000 .

Modulo-2 Pi Phase Sequence Estimation.

L. Scharf, D. Cox, C. Masreliez, 1978 .

Approximation of Method of Regularization Estimators

D. Cox, 1988 .

A penalty method for nonparametric estimation of the logarithmic derivative of a density function

D. Cox, 1985 .

A Bayesian Hierarchical Model for Classification with Selection of Functional Predictors

Marina Vannucci, Dennis D Cox, Hongxiao Zhu, 2010, Biometrics.

Penalized Likelihood-type Estimators for Generalized Nonparametric Regression

Dennis D. Cox, Finbarr O'Sullivan, D. Cox, 1996 .

A smoothing spline based test of model adequacy in polynomial regression

D. Cox, Eunmee Koh, 1989 .

CONVERGENCE RATES FOR REGULARIZED SOLUTIONS OF INTEGRAL EQUATIONS FROM DISCRETE NOISY DATA

D. Nychka, D. Cox, 1989 .

Asymptotics for $M$-Type Smoothing Splines

D. Cox, 1983 .

Testing the (Parametric) Null Model Hypothesis in (Semiparametric) Partial and Generalized Spline Models

Grace Wahba, Dennis D. Cox, Brian S. Yandell, 1988 .

Functional Data Classification in Cervical Pre-cancer Diagnosis — A Bayesian Variable Selection Model

D. Cox, M. Vannucci, Hongxiao Zhu, 2007 .

Spatial Sampling and the Environment: Report on a Workshop

D. Cox, L. Cox, K. Ensor, 2007 .

A subgrid projection method for relaxation of non-attainable differential inclusions

D. Cox, P. Kloucek, D. Reynolds, 2003 .

Systematic comparison of a theory-based transport model with a multi-tokamak profile database

D. Cox, G. Bateman, J. Kinsey, 1995 .

Smoothing functional data with a Bayesian hierarchical model

D. Cox, Hongxiao Zhu, Jingjing Yang, 2014 .

Asymptotic behaviors of some measures of accuracy in nonparametric curve estimation with dependent observations

D. Cox, Tae Yoon Kim, 1995 .

M-Estimation for Nearly Non-Stationary Autoregressive Time Series.

D. Cox, I. Llatas, 1987 .

On the Sobolev class of a composite function

D. Cox, F. O’Sullivan, 1994 .

A statistical method for tuning a computer code to a data base

Jeong-Soo Park, Dennis D. Cox, Clifford E Singer, 2001 .

Spatial sampling and the environment: some issues and directions

D. Cox, L. Cox, K. Ensor, 1997, Environmental and Ecological Statistics.

Pointwise testing with functional data using the Westfall–Young randomization method

Dennis D. Cox, Jong Soo Lee, D. Cox, 2008 .

Quantifying multiscale noise sources in single-molecule time series.

Dennis D Cox, Christopher P Calderon, D. Cox, 2009, The journal of physical chemistry. B.

Uniform strong consistency of kernel density estimators under dependence

Tae Yoon Kim, D. Cox, 1996 .

The Computational Modeling of Crystalline Materials Using a Stochastic Variational Principle

Dennis D. Cox, Petr Kloucek, Daniel R. Reynolds, 2002, International Conference on Computational Science.

Analysis of the posterior for spline estimators in logistic regression

D. Cox, N. Raghavan, 1998 .

Inverse solution for parameter estimation of computer simulation by an empirical Bayesian code tuning method

Dennis D. Cox, Sanghoo Yoon, Jeong-Soo Park, 2013 .

Stochastic Relaxation of Variational Integrals with Non-attainable Infima

D. Cox, P. Kloucek, D. Reynolds, 2004 .

Moment bounds for mixing random variables useful in nonparametric function estimation

Tae Yoon Kim, D. Cox, 1995 .

Convergence of Gibbs Measures Associated with Simulated Annealing

Dennis D. Cox, Petr Kloucek, Robert M. Hardt, 2008, SIAM J. Math. Anal..

CONVERGENCE ON MANIFOLDS OF GIBBS MEASURES WHICH ARE ABSOLUTELY CONTINUOUS WITH RESPECT TO HAUSDORFF MEASURES October 29, 2005

D. Cox, R. Hardt, 2005 .

Adaptive Importance Sampling on Discrete Markov

D. Cox, K. Baggerly, Rick Picard, 1996 .

Gaussian Likelihood Estimation for Nearly Nonstationary AR(1) Processes

D. Cox, 1991 .

Maximum Likelihood Type Estimation for Nearly Nonstationary Autoregressive Time Series

D. Cox, I. Llatas, 1991 .

A Two Sample Test for Functional Data

Jong Soo Lee, D. Cox, M. Follen, 2015 .

NONSTATIONARY AR(i) PROCESSES

D. Cox, 2016 .

Smoothing and Mean-Covariance Estimation of Functional Data with a Bayesian Hierarchical Model.

Jingjing Yang, Dennis D. Cox, Hongxiao Zhu, 2014, Bayesian analysis.

Likelihood of achieving air quality targets under model uncertainties.

Byeong-Uk Kim, Dennis D. Cox, Antara Digar, 2011, Environmental science & technology.

On the Existence of Natural Rate of Escape Functions for Infinite Dimensional Brownian Motions

D. Cox, 1982 .

Convergence Rates for Multivariate Smoothing Spline Functions.

Dennis D Cox, D. Cox, 1982 .

On the asymptotically stochastic computational modeling of microstructures

Dennis D. Cox, Petr Kloucek, Daniel R. Reynolds, 2004, Future Gener. Comput. Syst..

Adaptive importance sampling on discrete Markov chains

Dennis D. Cox, Keith A Baggerly, D. Cox, 1999 .

AN ANALYSIS OF BAYESIAN INFERENCE FOR NON-PARAl\rIETRIC REGRESSION

D. Cox, 1986 .

A Functional Generalized Linear Model with Curve Selection in Cervical Pre-cancer Diagnosis Using Fluorescence Spectroscopy

Dennis D. Cox, Hongxiao Zhu, D. Cox, 2009 .

Efficient Bayesian hierarchical functional data analysis with basis function approximations using Gaussian–Wishart processes

Dennis D. Cox, Jingjing Yang, Taeryon Choi, 2015, Biometrics.