Herbert K.H. Lee  Home/Search
Context Related
| duke.edu/WorkingPapers/0004.ps Cached: PDF This document uses CoBlitz to cache paper downloads. If your firewall is blocking outgoing connections to port 3125, you can use these links to download local copies.
PS.gz PS Image Update HelpFrom: duke.edu/WorkingPapers/ (more) (Enter author homepages) |
Rate this article:      (best)Comment on this article |
Abstract: While many implementations of Bayesian neural networks use large, complex hierarchical priors, in much of modern Bayesian statistics, noninformative (at) priors are very common. This paper introduces a noninformative prior for feed-forward neural networks, describing several theoretical and practical advantages of this approach. Details of implementation via Markov chain Monte Carlo are included. Key Words: Bayesian Statistics; Improper Prior; Markov Chain Monte Carlo 1 Introduction Much of... (Update)
Similar documents based on text: More All
0.4: Noninformative Bayesian Priors. Interpretation And Problems.. - Syversveen (1998) (Correct)
0.3: Objective Bayesian Analysis of Spatially Correlated Data - Berger, De Oliveira.. (2000) (Correct)
0.3: A Catalog of Noninformative Priors - Yang, Berger (1996) (Correct)
BibTeX entry: (Update)
Lee, H. K. H. A noninformative prior for neural networks. Tech. rep., Duke University (2000). http://citeseer.ist.psu.edu/lee00noninformative.html More
@misc{ lee00noninformative,
author = "H. Lee",
title = "A noninformative prior for neural networks",
text = "Lee, H. K. H. A noninformative prior for neural networks. Tech. rep., Duke
University (2000).",
year = "2000",
url = "citeseer.ist.psu.edu/lee00noninformative.html" }
Citations (may not include all citations):261 Bayesian Data Analysis (context) - Gelman, Carlin et al. - 1995
56 Some Aspects of the Spline Smoothing Approach to Non-Paramet.. (context) - Silverman - 1985
54 Estimation of Finite Mixture Distributions Through Bayesian .. (context) - Diebolt, Robert - 1994
38 Journal of the American Statistical Association (context) - Kass, Raftery - 1995
36 Theory of Probability (context) - reys - 1961
21 The Selection of Prior Distributions by Formal Rules (context) - Kass, Wasserman - 1996
16 Robust Full Bayesian Learning for Neural Networks - Andrieu, de Freitas et al. - 1999
10 Feedforward Neural Networks for Nonparametric Regression - uller, Rios - 1998
10 Asymptotic Inference for Mixture Models Using Data Dependent.. (context) - Wasserman - 1998
6 Invariant Prior Distributions (context) - Hartigan - 1964
2 Model Selection for Consumer Loan Application Data (context) - Lee - 1996
2 Bayesian Learning for Neural Networks (context) - York, Neal - 1996
1 Bayesian Methods for Adaptive Methods (context) - Department, MacKay - 1992
Documents on the same site (http://ftp.isds.duke.edu/WorkingPapers/): More
Validating Bayesian Prediction Models: a Case Study.. - Iversen, Jr.. (1998) (Correct)
Analysis of Hospital Quality Monitors Using Hierarchical Time.. - Aguilar, West (1998) (Correct)
Combined Parameter and State Estimation in Simulation-Based.. - Liu, West (2000) (Correct)
Online articles have much greater impact More about CiteSeer.IST Add search form to your site Submit documents Feedback
CiteSeer.IST - Copyright Penn State and NEC