From berger@stat.Duke.EDU Sun Jan 25 20:08:29 1998
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From: Jim Berger <berger@stat.Duke.EDU>
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Date: Sun, 25 Jan 1998 20:08:28 -0500 (EST)
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To: jane@stat.Duke.EDU
Subject: Jim's web page
Cc: berger@stat.Duke.EDU
Status: RO


Dear Jane;

I am finally going to add various of my papers to the discussion 
series and list papers on my web page. I'm not really sure about
the procedure to do this, so I was hoping you could set it all up for me
(after which I can hopefully figure out how to keep it updated). I did
go the list of WorkingPapers and add the ones to be in the discussion
series (I added them to 1997 since that is when they were all done),
but I have not done any of the linking of the files to anything (since
I don't know how to do that!)

Thanks! Jim

Notes: 
1. The relevant postscript files are all denoted  `final.ps'  and
can be found in the indicated directories.

2. Also in each of the indicated directories is an html abstract, denoted
`abstract.html'. These are not quite complete, however, since I did not
fill out the bottom line referring to the postscript file or its size.
Could you add this information?

3. I take it each paper listed on the web has a link first to the abstract,
then from there to paper?

4. I've grouped the papers by category, and some such grouping on
the web would certainly be nice.

Thanks a lot for doing this! Let me know if there is any other 
information you need.

Best Wishes, Jim


Recent Papers

MODEL SELECTION AND HYPOTHESIS TESTING

Jefferys, W. and Berger, J. (1992).
   Ockham's razor and Bayesian analysis.
   {\it American Scientist}, {\bf 80}, 64--72.
(/berger/papers/ockham/)

Berger, J. and Pericchi, L. (1996). The intrinsic Bayes factor
   for model selection and prediction. {\it J.
   Amer.\ Statist.\ Assoc.\/}, {\bf 91}, 109-122.
(/berger/papers/ibf/)

Berger, J. and Pericchi, L. (1996).  On the justification of default
  and intrinsic Bayes factors.  In {\it Modeling and Prediction},
  J. C. Lee, et. al. (Eds.), 276--293. Springer-Verlag, New York.
(/berger/papers/ibfjust/)

Berger, J. and Pericchi, L. (1996).  The intrinsic Bayes factor for
   linear models.  {\it Bayesian Statistics V},\  J.M.\ 
   Bernardo,\ et. al.\ (Eds.), 23--42,  Oxford University Press, Oxford.
(/berger/papers/ibflin/)

Berger, J., Pericchi, L, and Varshavsky, J. (1997).
  Bayes factors and marginal distributions
  in invariant situations. ISDS Discussion Paper 97-40
(/berger/papers/ibfmarg/)

Berger, J. and Pericchi, L. (1997). On criticisms and comparisons
  of default Bayes factors for model selection and hypothesis
  testing.  ISDS Discussion Paper 97-43.
(/berger/papers/comparisons/)

Berger, J. and Mortera, J. (1997). Default Bayes factors for one-sided
  hypothesis testing. ISDS Discussion Paper 97-44.
(/berger/papers/mortera/)

Berger, J. and Pericchi, L. (1997). Accurate and stable Bayesian model
  selection: the median intrinsic Bayes factor. ISDS Discussion 
  Paper 97-45.
(/berger/papers/median/)


INTERFACES BETWEEN STATISTICAL PARADIGMS

Berger, J., Brown, L. and Wolpert, R. (1994). 
  A unified conditional frequentist and Bayesian test for fixed and 
  sequential hypothesis testing. {\it Ann. 
  Statist.} {\bf 22}, 1787-1807. 
(/berger/papers/brown/)

Berger, J., Boukai, B.  and Wang, Y. (1997). Unified
  frequentist and Bayesian testing of a precise hypothesis (with discussion).
  {\it Statistical Science} {\bf 12}.
(/berger/papers/statsci/)

Berger, J., Boukai, B. and Wang, Y. (1997). Properties of
  unified Bayesian-frequentist tests. In
  {\it Advances in Statistical Decision Theory and Applications}, 
  S. Panchapakesan and N. Balakrishnan (Eds.), 207--223. Birkhauser, Boston.
(/berger/papers/guptavolume/)

Berger, J., Liseo, B. and Wolpert, R. (1997).
  Integrated likelihood methods for eliminating nuisance parameters.
  ISDS Discussion Paper 97-01 
(/berger/papers/brunero/) (note that this already exists, presumably 
linked to a file that Robert made; since I have the latest versions of
things, the address should be switched over to my files)

Berger, J., Boukai, B. and Wang, Y. (1997).
  Simultaneous Bayesian-frequentist sequential testing of nested
  hypotheses.  ISDS Discussion Paper 97-41
(/berger/papers/boukai/)

CHOICE OF PRIORS

Berger, J. and Strawderman, W. E. (1996).  Choice of hierarchical
   priors:  admissibility in estimation of normal means.  {\it
   Annals of Statistics\/}, {\bf 24}, 931--951.
(/berger/papers/straw1/)

Berger, J., Philippe, A., and Robert, C. (1997).
  Estimation of quadratic functions: \ \ noninformative priors for
  non-centrality parameters. To appear in {\it Statistica Sinica}. 
(/berger/papers/robert/)

Sun, D. and Berger, J. (1997).
  Reference priors with partial information. To appear in  
 {\it Biometrika}.
(/berger/papers/sun/)

Yang, R. and Berger, J. (1997)
  A catalog of noninformative priors. ISDS Discussion Paper 97-42.
(/berger/papers/catalog/)


ROBUST BAYESIAN ANALYSIS

Berger, J. (1994).  An overview of robust Bayesian analysis 
  (with Discussion).  {\it Test}, {\bf 3}, 5--124.
(/berger/papers/overview/)

Fan, T. H. and Berger, J. (1997).  Robust Bayesian displays for
  standard inferences concerning a normal mean. ISDS Discussion
  Paper 97-39
(/berger/papers/fan/)

Bayarri, M. J. and Berger, J. (1998). Robust Bayesian analysis of
   selection models. To appear in {\it Annals of Statistics}. 
(/berger/papers/selection/)


INTERDISCIPLINARY

Andrews, R., Berger, J. and Smith, M. (1993).
  Bayesian estimation of fuel economy potential due to technology improvements. 
   In {\it Case Studies in Bayesian Statistics\/} (C. Gatsonis,
   et.\ al., Eds.), pp.\ 1--77.
   Springer-Verlag, New York.
(/berger/papers/fuel/)

Berger, J. (1997). Some recent developments in Bayesian analysis,
  with astronomical illustrations (with discussion). 
  In {\it Statistical Challenges in
  Modern Astronomy II}, G. H. Babu and E. D. Feigelson (Eds.), 15--39.
  Springer, New York.
(/berger/papers/astronomy/)

Berger, J. and Rios Insua, D. (1998).
  Recent Developments in Bayesian inference with applications in
  hydrology.  In {\it Statistical and Bayesian Methods in
  Hydrological Sciences}, E. Parent (Ed.), 43--59. UNESCO Press, Paris.
(/berger/papers/rios/)