Dennis D. Cox

发表

Boosted Tree Classifier for in Vivo Identification of Early Cervical Cancer using Multispectral Digital Colposcopy

Pierre Lane, Calum MacAulay, Michele Follen, 2017, BIOIMAGING.

Multivariate functional response regression, with application to fluorescence spectroscopy in a cervical pre-cancer study

Jeffrey S. Morris, Fengrong Wei, Dennis D. Cox, 2017, Comput. Stat. Data Anal..

Quality assurance system using statistical process control: An implementation for image

Calum MacAulay, Michele Follen, David Chiu, 2004 .

Tuning complex computer code to data

Jerome Sacks, Clifford E Singer, Dennis D. Cox, 1992 .

Likelihood of achieving air quality targets under model uncertainties.

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

On the asymptotically stochastic computational modeling of microstructures

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

Toward the Routine Analysis of Diverse Data Types

Paul D. Whitney, J. McLean Sloughter, Dennis D. Cox, 2003 .

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.

Convergence of Gibbs Measures Associated with Simulated Annealing

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

Robust smoothing: Smoothing parameter selection and applications to fluorescence spectroscopy

Dennis D. Cox, Jong Soo Lee, D. Cox, 2010, Comput. Stat. Data Anal..

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

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

Analysis, Mining and Visualization Service at NCSA

Dennis D. Cox, Robert B. Wilhelmson, Michael E. Welge, 2004 .

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

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

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

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

Modulo-2 Pi phase sequence estimation (Corresp.)

Louis L. Scharf, Dennis D. Cox, C. Johan Masreliez, 1980, IEEE Trans. Inf. Theory.

Adaptive importance sampling on discrete Markov chains

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

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

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

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

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

Penalized Likelihood-type Estimators for Generalized Nonparametric Regression

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

Adaptive mixture importance sampling

Nandini Raghavan, Dennis D. Cox, 1998 .

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

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

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

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