Statistical Inference, Occam's Razor, and Statistical Mechanics on the Space of Probability Distributions
暂无分享,去创建一个
[1] L. M. M.-T.. Theory of Probability , 1929, Nature.
[2] E. M.,et al. Statistical Mechanics , 2021, On Complementarity.
[3] Jorma Rissanen,et al. Universal coding, information, prediction, and estimation , 1984, IEEE Trans. Inf. Theory.
[4] Shun-ichi Amari,et al. Differential-geometrical methods in statistics , 1985 .
[5] J. Rissanen. Stochastic Complexity and Modeling , 1986 .
[6] C. S. Wallace,et al. Estimation and Inference by Compact Coding , 1987 .
[7] Calyampudi R. Rao,et al. Chapter 3: Differential and Integral Geometry in Statistical Inference , 1987 .
[8] C. Itzykson,et al. Statistical Field Theory: Random geometry , 1989 .
[9] L. Joseph,et al. Bayesian Statistics: An Introduction , 1989 .
[10] Andrew R. Barron,et al. Information-theoretic asymptotics of Bayes methods , 1990, IEEE Trans. Inf. Theory.
[11] Thomas M. Cover,et al. Elements of Information Theory , 2005 .
[12] John E. Moody,et al. The Effective Number of Parameters: An Analysis of Generalization and Regularization in Nonlinear Learning Systems , 1991, NIPS.
[13] Andrew R. Barron,et al. Minimum complexity density estimation , 1991, IEEE Trans. Inf. Theory.
[14] David J. C. MacKay,et al. Bayesian Interpolation , 1992, Neural Computation.
[15] David J. C. MacKay,et al. A Practical Bayesian Framework for Backpropagation Networks , 1992, Neural Computation.
[16] William Bialek,et al. Optimal Real-Time Signal Processing in the Nervous System , 1993 .
[17] W. Bialek,et al. Statistical mechanics and visual signal processing , 1994, cond-mat/9401072.
[18] R.R. de Ruyter Van Steveninck,et al. Statistical adaptation and optimal estimation in movement computation by the blowfly visual system , 1994, Proceedings of IEEE International Conference on Systems, Man and Cybernetics.
[19] Shun-ichi Amari,et al. Network information criterion-determining the number of hidden units for an artificial neural network model , 1994, IEEE Trans. Neural Networks.
[20] Vijay Balasubramanian,et al. A Geometric Formulation of Occam's Razor For Inference of Parametric Distributions , 1996, adap-org/9601001.
[21] Kenji Yamanishi,et al. A Decision-Theoretic Extension of Stochastic Complexity and Its Applications to Learning , 1998, IEEE Trans. Inf. Theory.