搜索结果: 1-15 共查到“数学 Normal”相关记录75条 . 查询时间(0.078 秒)
We prove that the zero locus of an admissible normal
function over an algebraic parameter space S is algebraic in the
case where S is a curve.
SINGULARITIES OF ADMISSIBLE NORMAL FUNCTIONS (WITH AN APPENDIX BY NAJMUDDIN FAKHRUDDIN)
NORMAL FUNCTIONS NAJMUDDIN FAKHRUDDIN
2015/9/29
In a recent paper, M. Green and P. Griths used R. Thomas’ work on nodal
hypersurfaces to sketch a proof of the equivalence of the Hodge conjecture and the existence of certain singular admissible no...
ZERO LOCI OF ADMISSIBLE NORMAL FUNCTIONS WITH TORSION SINGULARITIES
NORMAL FUNCTIONS TORSION SINGULARITIES
2015/9/29
We show that the zero locus of a normal function on a smooth
complex algebraic variety S is algebraic provided that the normal function extends to a admissible normal function on a smooth compacti...
ON THE ALGEBRAICITY OF THE ZERO LOCUS OF AN ADMISSIBLE NORMAL FUNCTION
ZERO LOCUS ADMISSIBLE NORMAL FUNCTION
2015/9/29
We show that the zero locus of an admissible normal function on
a smooth complex algebraic variety is algebraic.
On minimax estimation of a sparse normal mean vector
nearly black object robustness white noise model
2015/8/20
Mallows has conjectured that among distributions which are Gaussian but
for occasional contamination by additive noise, the one having least Fisher
information has (two-sided) geometric contaminatio...
Minimum Volume Confidence Regions for a Multivariate Normal Mean Vector
James-Stein estimator Fisher-von Mises distributio
2015/8/20
Since Stein’s original proposal in 1962, a series of papers have constructed confidence regions of smaller volume than the standard spheres for the mean vector of
a multivariate normal distribu...
COMPACT SPACES WITH HEREDITARILY NORMAL SQUARES
COMPACT SPACES HEREDITARILY NORMAL SQUARES
2015/8/17
In 1948, Katetov proved the following metrization theorem. Theorem 1.1. [3] If X is a compact space1 and every subspace of X3 is normal, then X is metrizable.
ON THE DIFFERENCE BETWEEN THE EMPIRICAL HISTOGRAM AND THE NORMAL CURVE, FOR SUMS: PART II
Histogram difference curve
2015/7/14
ON THE DIFFERENCE BETWEEN THE EMPIRICAL HISTOGRAM AND THE NORMAL CURVE, FOR SUMS: PART II.
Consistency of Bayes Estimates for Nonparametric Regression: Normal Theory
Consistency Bayes estimates model selection binary regression
2015/7/14
Performance characteristics of Bayes estimates are studied. More exactly, for each subject in a data
set, let 5 be a vector of binary covariates and let Y be a normal response variable, with
E{YIE...
UNIVERSAL POISSON AND NORMAL LIMIT THEOREMS IN GRAPH COLORING PROBLEMS WITH CONNECTIONS TO EXTREMAL COMBINATORICS
Limit theorem the monochromatic edge evenly random colors random graph
2015/7/7
This paper proves limit theorems for the number of monochromatic edges in uniform random colorings of general random graphs. The limit theorems are universal depending solely on the limiting behavior ...
INVOLUTIVE RATIONAL NORMAL STRUCTURES.
INFERENCE FOR NORMAL MIXTURE IN MEAN AND VARIANCE.
On the construction of normal mixed difference matrices
On the construction normal mixed difference matrices
2015/3/20
On the construction of normal mixed difference matrices.
On the construction of normal mixed difference matrices
Normal mixed difference matrix Kronecker sum
2015/3/18
By exploring the relationship between difference matrices and orthogonal decomposition of projection matrices, this paper presents a general method
for constructing smaller normal mixed difference ma...
Gemini: Graph estimation with matrix variate normal instances
Graphical model selection covarianc eestimation inverse covariance estimation Graphical Lasso,Matrix variate normal distribution
2012/11/23
Undirected graphs can be used to describe matrix variate distributions. In this paper, we develop new methods for estimating the graphical structures and underlying parameters, namely, the row and col...