Hierarchical priors and mixture models , with application in regression and density estimationMIKE

@inproceedings{ULLERy1993HierarchicalPA,
  title={Hierarchical priors and mixture models , with application in regression and density estimationMIKE},
  author={PETER M ULLERy and Detlef Michael and ESCOBARz},
  year={1993}
}
Highly Influential
This paper has highly influenced 10 other papers. REVIEW HIGHLY INFLUENTIAL CITATIONS

From This Paper

Topics from this paper.
88 Citations
20 References
Similar Papers

Citations

Publications citing this paper.
Showing 1-10 of 88 extracted citations

References

Publications referenced by this paper.
Showing 1-10 of 20 references

Estimating the means of several normal populations by nonparametric esti

  • M. D. Escobar
  • 1988
Highly Influential
8 Excerpts

Curve tting using mixtures models. Invited revision

  • P. uller, M. West
  • 1992
Highly Influential
4 Excerpts

Bayesian Statistics, A Review, SIAM, Philadelphia

  • D. V. Lindley
  • 1972
Highly Influential
3 Excerpts

Estimating mixture of Dirichlet process models

  • P. uller
  • 1994

Assessing mechanisms of neural synaptic activity

  • M. West, G. Cao
  • 1993

Statistical analysis of mixtures applied to postsynpotential

  • D.A.T. Turner, M. West
  • 1993

Statistical analysis of mixtures applied to postsynpotential uctuations

  • M. West
  • Journal of Neuroscience Methods
  • 1993

Bayesian computations in survival models via the Gibbs sampler

  • L. Kuo, A.F.M. Smith
  • Survival Analysis : State of the Art
  • 1992

Estimating normal means with a conjugate style Dirichlet process prior

  • S. M. MacEachern
  • 1992
1 Excerpt

Bayesian kernel density estimation

  • M. West
  • ISDS Discussion Paper #90-A02,
  • 1990
1 Excerpt

Similar Papers

Loading similar papers…