Brian D. Marx Professor Department of Experimental Statistics

Room 141 Agriculture Administration Building
Louisiana State University
Baton Rouge, LA 70803-5606 USA

Telephone:   +1 225 578-8366
Fax:              +1 225 578-8344
Email:            bmarx@lsu.edu

Research Interests

• Penalized B-spline smoothing: P-splines
  
• Signal Regression and Chemometrics
• Varying Coefficient Models
  
• Ill-Conditioned Data, Biased Estimation, Penalized Likelihood
• Generalized Estimating Equations
• Generalized Linear Models, Generalized Additive Models

Selected Publications

• Multidimensional penalized signal regression. Technometrics, 47 (1): 13-22, (2005) (with Paul Eilers). [PDF]
  
• Splines, knots, and penalties. Submitted (2004) (with Paul Eilers). [PDF]
  
• Multidimensional calibration with temperature interaction using two-dimensional penalized signal regression. Chemometrics and Intell Lab Sys, 66: 159-174, (2003) (with P Eilers). [PDF]
• Generalized linear additive smooth structures. Journal of Computational and Graphical Statistics, 11(4), 758-783, (2002) (with Paul Eilers). [PDF]
• Multivariate calibration stability: a comparison of methods. Journal of Chemometrics, 16, 1-12, (2002) (with Paul Eilers). [PDF]
• Generalized linear regression for sampled signals or curves: A P-spline approach, Technometrics, 41(1): 1-13, (1999) (with Paul Eilers). [PDF]
• Direct generalized additive modeling with penalized likelihood, Computational Statistics and Data Analysis, 28(2): 193-209, (1998) (with Paul Eilers). [PDF]
• Flexible smoothing with B-splines and penalties (with comments and rejoinder), Statistical Science, 11(2): 89-121, (1996) (with Paul Eilers) [PDF]
• Iteratively reweighted partial least squares estimation for generalized linear regression, Technometrics, 38(4): 374-381, (1996). [PDF]
• Collinearity in generalized linear regression, Communications in Statistics: Theory and Methods, 22 (7): 1933-1952, (1993) (with Emmanuel Lesaffre) [PDF]
• A continuum of principal component generalized linear regressions, Computational Statistics and Data Analysis, 13: 385-393. (1992). [PDF]
  
• Principal component estimation for generalized linear regression, Biometrika, 77(1): 23-31, (1990) (with Eric Smith). [PDF]
• Weighted multicollinearity in logistic regression: diagnostics and biased estimation techniques with an example from lake acidification, CJFAS, 47 (6): 1128-35 (1990) (with Eric Smith). [PDF]
  

• 2-D smoother for scattered data (Gaussian/ generalized linear model) 

• Smooth Regression Coefficient Surfaces/ Penalized Image Regression/ Mulitdimensional Penalzied Signal Regression
  

• Two-dimensional penalized signal regression: Mulitidimensional calibration with interaction
  

• P-spline GLASS Code: Generalized Linear Additive Smooth Structures,   Instructions and Examples

• P-spline Code for GAMs and Univariate GLM Smoothing,    Instructions and Examples

• Alternative P-spline Code for Univariate GLM Smoothing

• P-spline Signal Regression Code

• P-spline Density Estimation Code

• Partial Least Squares (iteratively reweighted) Code for GLMs

• Quantile Regression (LMS) Code

Short Course: 

    Splines, Knots, and Penalties: The Craft of Smoothing

     Preface/ Course Outline

• Course Software (R/ S-PLUS/ Matlab) and Demos (zip)

      Course (to be) presented at the following meetings:

• Conference on Regression Models, Sao Pedro, Sao Paulo, Brazil (February 21-23, 2005) www.esalq.usp.br/9emr/
  

• Joint American Statistical Association Meetings, Toronto, Ontario, August 9, 2004 

• Inernational Workshop on Statistical Modelling, Leuven, Belgium, July 6, 2003 

• ENAR Biometrics Meeting, Tampa, Florida, March 30, 2003
  

Statistical Modelling: An International Journal www.statmod.org

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