REFERENCES
- Berliner , L. 1996 . “Hierarchical Bayesian Time-Series Models,” . In Maximum Entropy and Bayesian Methods , Edited by: Hanson , K. and Silver , R. 15 – 22 . Dordrecht , , The Netherlands : Kluwer .
- Breiman , L. 1992 . Probability , Philadelphia , PA : SIAM .
- Carvalho , C. , Chang , J. , Lucas , J. , Nevins , J. , Wang , Q. and West , M. 2008 . “High-Dimensional Sparse Factor Modelling: Applications in Gene Expression Genomics,” . Journal of the American Statistical Association , 103 : 1438 – 1456 .
- George , E. and McCulloch , R. 1993 . “Variable Selection via Gibbs Sampling,” . Journal of the American Statistical Association , 88 : 881 – 889 .
- Mitchell , T. and Beauchamp , J. 1988 . “Bayesian Variable Selection in Linear Regression,” . Journal of the American Statistical Association , 83 : 1023 – 1032 .
- Mogilner , A. , Wang , H. , Elston , T. and Oster , G. 2002 . “Molecular Motors: Theory and Experiment,” . In Computational Cell Biology , Edited by: Fall , C. , Marland , E. , Wagner , J. and Tyson , J. New York : Springer-Verlag .
- Schienbein , M. and Gruler , H. 1993 . “Langevin Equation, Fokker-Planck Equation and Cell Migration,” . Bulletin of Mathematical Biology , 55 : 585 – 608 .
- Wikle , C. , Milliff , R. , Nychka , D. and Berliner , L. 2001 . “Spatiotemporal Hierarchical Bayesian Modeling Tropical Ocean Surface Winds,” . Journal of the American Statistical Association , 96 : 382 – 397 .