Statistical science

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  Año 2006, Número 3

  • Causal Inference Through Potential Outcomes and Principal Stratification: Application to Studies with "Censoring" Due to Death.

    Donald B. Rubin

    págs. 299-309

    

  • Comment: Causal Inference in the Medical Area.

    Edward L. Korn

    págs. 310-312

    

  • Comment: The Place of Death in the Quality of Life.

    Paul R. Rosembaum

    págs. 313-316

    

  • Comment: Complex Causal Questions Require Careful Model Formulation: Discussion of Rubin on Experiments wit "Censoring" Due to Death.

    Stephen E. Fienberg

    págs. 317-318

    

  • Rejoinder. Complex Causal Questions Require Careful Model Formulation: Discussion of Rubin on Experiments wit "Censoring" Due to Death.

    Donald B. Rubin

    págs. 319-321

    

  • Support Vector Machines with Applications

    Javier Martínez Moguerza, Alberto Muñoz

    págs. 322-336

    

  • Comment. Support Vector Machines with Applications.

    Olivier Bousquet, Bernhard Schölkopf

    págs. 337-340

    

  • Comment. Support Vector Machines with Applications.

    Peter L. Bartlett, Michael I. Jordan, Jon D. McAuliffe

    págs. 341-346

    

  • Comment. Support Vector Machines with Applications.

    Grace Wahba

    págs. 347-351

    

  • Comment. Support Vector Machines with Applications.

    Trevor Hastie, Ji Zhu

    págs. 352-357

    

  • Rejoinder: support Vector Machines with Applications

    Javier Martínez Moguerza, Alberto Muñoz

    págs. 358-362

    

  • R-Estimates vs. GMM: A Theoretical Case Study of Validity and Efficiency.

    Dylan S. Small, Joseph L. Gastwirth, Abba M. Krieger, Paul R. Rosenbaum

    págs. 363-375

    

  • Design Issues for Generalized Linear Models: A review.

    André I. Khuri, Bhramar Mukherjee, Bikas K. Sinha, Malay Ghosh

    págs. 376-399

    

  • Isaac Newton as a Probabilist.

    Stephen M. Stigler

    págs. 400-403

    

  • A Conversation with Ulf Grenander.

    Nitis Mukhopadhyay

    págs. 404-426