搜索结果: 16-30 共查到“统计学 U-functions”相关记录76条 . 查询时间(0.175 秒)
Testing equality of functions under monotonicity constraints
Testing equality of functions monotonicity constraints
2012/9/19
We consider the problem of testing equality of functionsf j: [0,1] →Rfor j =1,2,...,J the basis ofJindependent samples from possibly different distributions under the assumption that the functions are...
Efficient Emulators of Computer Experiments Using Compactly Supported Correlation Functions, With an Application to Cosmology
Efficient Emulators Correlation Functions Cosmology
2011/7/19
Statistical emulators of computer simulators have proven to be useful in a variety of applications. The widely adopted model for emulator building, using a Gaussian process model with strictly positiv...
Kernels for Vector-Valued Functions: a Review
Kernels for Vector-Valued Functions: a Review
2011/7/6
Kernel methods are among the most popular techniques in machine learning. From a frequentist/discriminative perspective they play a central role in regularization theory as they provide a natural choi...
Reproducing kernels for spaces of zero mean functions. Application to sensitivity analysis
Kernel Methods Global Sensitivity Analysis Sobol-Hoeffding Decomposition
2011/7/6
Given a Reproducing Kernel Hilbert Space (H, h., .i) of real-valued functions and a suitable measure \mu over the source space, we decompose H as sum of a subspace of centered functions for {\mu} and ...
Constrained probability distributions of correlation functions
cosmology gravitational lensing large scale structure of the Universe galaxies statistics Methods statistical
2011/6/21
Two-point correlation functions are used throughout cosmology as a measure for the statistics of random fields. When used
in Bayesian parameter estimation, their likelihood function is usually replac...
Pivotal Estimation of Nonparametric Functions via Square-root Lasso
pLASSO Pivotal Estimation Square-root Lasso
2011/6/16
In a nonparametric linear regression model we study a variant of LASSO,
called pLASSO, which does not require the knowledge of the scaling parameter σ of the
noise or bounds for it. This work derive...
Selection models with monotone weight functions in meta analysis
global constrained optimization meta analysis monotone non-increasing selection bias
2011/3/24
Publication bias, the fact that studies identified for inclusion in a meta analysis do not represent all studies on the topic of interest, is commonly recognized as a threat to the validity of the res...
Estimating composite functions by model selection
Curve estimation model selection composite functions
2011/3/21
We consider the problem of estimating a function $s$ on $[-1,1]^{k}$ for large values of $k$ by looking for some best approximation by composite functions of the form $g\circ u$. Our solution is based...
A comparison principle for functions of a uniformly random subspace
A comparison principle for functions random subspace
2011/3/25
This note demonstrates that it is possible to bound the expectation of an arbitrary norm of a random matrix drawn from the Stiefel manifold in terms of the expected norm of a standard Gaussian matrix ...
The almost sure behavior of certain spatial repartitions of local empirical processes indexed by functions
Empirical process, Functional limit theorems Poisson processes
2011/7/5
We investigate a particular form of weak convergence of the local empirical process.
We consider a class of sparsity-inducing regularization terms based on submodular functions. While earlier work has focused on non-decreasing functions, we explore symmetric submodular functions and t...
Branch and Bound Algorithms for Maximizing Expected Improvement Functions
Computer experiments Feature estimation Sequential design
2010/3/11
Deterministic computer simulations are often used as a replacement for com-
plex physical experiments. Although less expensive than physical experi-
mentation, computer codes can still be time-consu...
Defining probability density for a distribution of random functions
Density estimation dimension eigenfunction eigenvalue functionaldata analysis kernel methods log-density estimation nonparametric statistics
2010/3/11
The notion of probability density for a random function is not
as straightforward as in finite-dimensional cases. While a probability
density function generally does not exist for functional data, w...
Asymptotic results for sample autocovariance functions and extremes of integrated generalized Ornstein-Uhlenbeck processes
continuous-time GARCH process extreme value theory generalizedOrnstein–Uhlenbeck process integrated generalized Ornstein–Uhlenbeck process
2010/3/10
We consider a positive stationary generalized Ornstein–Uhlenbeck process
Vt = e−tZ t0es− ds + V0 for t 0,and the increments of the integrated generalized Ornstein–Uhlenbeck process...
MM Algorithms for Minimizing Nonsmoothly Penalized Objective Functions
Iterative Soft Thresholding MIST MM algorithm
2010/3/9
The use of regularization, or penalization, has become increasingly common in highdimensional
statistical analysis over the past decade, where a common goal is to simultaneously
select important var...