搜索结果: 1-11 共查到“统计学 divergence”相关记录11条 . 查询时间(0.039 秒)
Some results on a $χ$-divergence, an~extended~Fisher information and~generalized~Cramer-Rao inequalities
Some results $χ$-divergence an~extended~Fisher information generalized~Cramer-Rao inequalities
2013/6/17
We propose a modified $\chi^{\beta}$-divergence, give some of its properties, and show that this leads to the definition of a generalized Fisher information. We give generalized Cram\'er-Rao inequalit...
Maximal Information Divergence from Statistical Models defined by Neural Networks
neural network exponential family Kullback-Leibler diver-gence multi-information
2013/4/27
We review recent results about the maximal values of the Kullback-Leibler information divergence from statistical models defined by neural networks, including naive Bayes models, restricted Boltzmann ...
A procedure for the change point problem in parametric models based on phi-divergence test-statistics
Change point Information criterion Divergence Wald test-statistic
2011/7/19
This paper studies the change point problem for a general parametric, univariate or multivariate family of distributions.
Change point analysis of an exponential model based on Phi-divergence test-statistics: simulated critical points case
Change poin Exponential model Likelihood ratio test
2011/7/19
Recently Batsidis \textit{et al.} (2011) have presented a new procedure based on divergence measures for testing the hypothesis of the existence of a change point in exponential populations.
Online algorithms for Nonnegative Matrix Factorization with the Itakura-Saito divergence
Online algorithms Nonnegative Matrix Factorization Itakura-Saito divergence
2011/7/6
Nonnegative matrix factorization (NMF) is now a common tool for audio source separation.
Bayesian predictive densities for linear regression models under alpha-divergence loss：some results and open problems
shrinkage prior Bayesian predictive density alpha-divergence Stein effect
2010/3/10
This paper considers estimation of the predictive density for
a normal linear model with unknown variance under -divergence loss for
−1 1. We first give a general canonical form for the...
On Bahadur Efficiency of Power Divergence Statistics
Bahadur efficiency consistency power divergence Renyi divergence
2010/3/10
It is proved that the information divergence statistic
is infinitely more Bahadur efficient than the power divergence
statistics of the orders > 1 as long as the sequence of
alternatives is conti...
Time-inhomogeneous diffusions corresponding to symmetric divergence form operators
Time-inhomogeneous diffusions symmetric divergence form operators
2009/9/21
We consider a time-inhomogeneous Markov family
(X, P,3 corresponding to a symmetric uniformly elliptic divergence
form operator. We show that for any rp in the Sobolev space W: n Wi
with p = 2 if d...
On Homogenization of Non-Divergence Form Partial Difference Equations
pde with random coecients homogenization
2009/4/24
In this paper a method for proving homogenization of divergence form elliptic equations is extended to the non-divergence case. A new proof of homogenization is given when the coefficients in the equa...
On Homogenization of Non-Divergence Form Partial Difference Equations
Homogenization Non-Divergence Partial Difference Equations
2009/4/7
In this paper a method for proving homogenization of divergence form elliptic equations is extended to the non-divergence case. A new proof of homogenization is given when the coefficients in the equa...
Information，Divergence and Risk for Binary Experiments
Information Divergence Risk Binary Experiments
2010/3/17
We unify f-divergences, Bregman divergences, surrogate loss bounds (regret bounds),
proper scoring rules, matching losses, cost curves, ROC-curves and information. We do
this by systematically study...