메뉴 건너뛰기




Volumn 33, Issue 1, 1998, Pages 77-86

Choice of Basis for Laplace Approximation

Author keywords

Bayes factor; Bayesian inference; Graphical models; Hidden Markov models; Latent variable models; Marginal likelihood

Indexed keywords

APPROXIMATION THEORY; MARKOV PROCESSES; MATHEMATICAL MODELS; MATHEMATICAL TRANSFORMATIONS; OPTIMIZATION; PROBABILITY; STATISTICAL METHODS; MATHEMATICAL OPERATORS; PARAMETER ESTIMATION; VECTORS;

EID: 0032182970     PISSN: 08856125     EISSN: None     Source Type: Journal    
DOI: 10.1023/A:1007558615313     Document Type: Article
Times cited : (94)

References (14)
  • 1
    • 0000583248 scopus 로고
    • Probabilistic interpretation of feedforward classification network outputs, with relationships to statistical pattern recognition
    • F. Fougelman-Soulie & J. Hérault (Eds.), Springer-Verlag
    • Bridle, J.S. (1989). Probabilistic interpretation of feedforward classification network outputs, with relationships to statistical pattern recognition. In F. Fougelman-Soulie & J. Hérault (Eds.), Neuro-computing: Algorithms, architectures and applications, Springer-Verlag.
    • (1989) Neuro-computing: Algorithms, Architectures and Applications
    • Bridle, J.S.1
  • 3
    • 21344459637 scopus 로고    scopus 로고
    • Bayesian model-building by pure thought: Some principles and examples
    • Gelman, A. (1996). Bayesian model-building by pure thought: Some principles and examples. Statistica Sinica, 6, 215-232.
    • (1996) Statistica Sinica , vol.6 , pp. 215-232
    • Gelman, A.1
  • 5
    • 0003414592 scopus 로고
    • Oxford Univ. Press (3rd edition reprinted in paperback 1985)
    • Jeffreys, H. (1939). Theory of probability. Oxford Univ. Press (3rd edition reprinted in paperback 1985).
    • (1939) Theory of Probability
    • Jeffreys, H.1
  • 6
    • 0027192618 scopus 로고
    • Speaker adaptation based on MAP estimation of HMM parameters
    • Lee, C.H., & Gauvain, J.L. (1993). Speaker adaptation based on MAP estimation of HMM parameters. IEEE Proceedings (pp. II-558-561).
    • (1993) IEEE Proceedings
    • Lee, C.H.1    Gauvain, J.L.2
  • 7
    • 51849176383 scopus 로고
    • Approximate Bayesian methods
    • J.M. Bernardo, M.H. DeGroot, D.V. Lindley, & A.F.M. Smith (Eds.), Valencia: Valencia University Press
    • Lindley, D.V. (1980). Approximate Bayesian methods. In J.M. Bernardo, M.H. DeGroot, D.V. Lindley, & A.F.M. Smith (Eds.), Bayesian statistics (pp. 223-237). Valencia: Valencia University Press.
    • (1980) Bayesian Statistics , pp. 223-237
    • Lindley, D.V.1
  • 8
    • 0002704818 scopus 로고
    • A practical Bayesian framework for backpropagation networks
    • MacKay, D.J.C. (1992). A practical Bayesian framework for backpropagation networks. Neural Computation, 4(3), 448-472.
    • (1992) Neural Computation , vol.4 , Issue.3 , pp. 448-472
    • MacKay, D.J.C.1
  • 10
    • 84974288913 scopus 로고
    • A hierarchical Dirichlet language model
    • MacKay, D.J.C., & Peto, L. (1995). A hierarchical Dirichlet language model. Natural Language Engineering, 1(3), 1-19.
    • (1995) Natural Language Engineering , vol.1 , Issue.3 , pp. 1-19
    • MacKay, D.J.C.1    Peto, L.2
  • 11
    • 0003073730 scopus 로고
    • Bayesian mixture modelling
    • C. Smith, G. Erickson, & P. Neudorfer (Eds.), Dordrecht: Kluwer
    • Neal, R.M. (1992). Bayesian mixture modelling. In C. Smith, G. Erickson, & P. Neudorfer (Eds.), Maximum Entropy and Bayesian Methods, Seattle 1991. (pp. 197-211). Dordrecht: Kluwer.
    • (1992) Maximum Entropy and Bayesian Methods, Seattle 1991 , pp. 197-211
    • Neal, R.M.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.