搜索结果: 1-15 共查到“统计学 New way”相关记录52条 . 查询时间(0.31 秒)
CENTRAL LIMIT THEOREMS FOR FOUR NEW TYPES OF U-DESIGNS
Central limit theorem correlation controlled U-design nested U-design sliced U-design strong orthogonal array based U-design
2016/1/26
Orthogonal array based Latin hypercube designs, also called U-designs, have been popularly adopted in designing a computer exper-iment. Nested U-designs, sliced U-designs, strong orthogonal array base...
The source of statistics:New frontiers in survey methodology
source of statistics New frontiers survey methodology
2015/11/12
The United Nations Statistical Commission celebrates the fifth annual World Statistics Day today. Over 60 countries have joined together to coordinate activities based on the theme of "Bette...
In this paper, we consider a generalization of the state-of-art discriminative method for optimizing the conditional likelihood in Hidden Markov Models (HMMs), called the Extended Baum-Welch (EBW) alg...
In this paper, we introduce a new approach to constructing unbiased estimators when computing expectations of path functionals associated with stochastic differential equations (SDEs). Our randomizati...
A New Global Stochastic Search Approach for Inverse Problems: Application to Ultrasound Modulated Optical Tomography
inverse problems global stochastic search discretized Kushner-Stratonovich equation gain-based update ultrasound modulated optical tomography
2013/6/14
A global stochastic search method, which is strictly derivative-free yet directed through a gain-based additive update term, is proposed and applied to the inverse problem of ultrasound modulated opti...
In a model of the form $Y=h(X_1,\ldots,X_d)$ where the goal is to estimate a parameter of the probability distribution of $Y$, we define new sensitivity indices which quantify the importance of each v...
A new framework for optimal classifier design
Class Imbalance One Class SVM F-measure Recall Precision Fraud Detection Level Set Method
2013/6/14
The use of alternative measures to evaluate classifier performance is gaining attention, specially for imbalanced problems. However, the use of these measures in the classifier design process is still...
GPfit: An R package for Gaussian Process Model Fitting using a New Optimization Algorithm
Computer experiments, clustering, near-singularity, nugget
2013/6/13
Gaussian process (GP) models are commonly used statistical metamodels for emulating expensive computer simulators. Fitting a GP model can be numerically unstable if any pair of design points in the in...
Tensor Decompositions: A New Concept in Brain Data Analysis?
Multilinear BSS linked multiway BSS/ICA tensor factorizations and de-compositions constrained Tucker and CP models PenalizedTensor Decompositions (PTD) feature extraction classification multiway PLS and CCA
2013/6/14
Matrix factorizations and their extensions to tensor factorizations and decompositions have become prominent techniques for linear and multilinear blind source separation (BSS), especially multiway In...
From GWAS to transcriptomics in prospective cancer design - new statistical challenges
Post -GWAS Transcriptomics Nested case -control Functional changes Biomarkers
2013/4/27
Background. With the increasing interest in post-GWAS research which represents a transition from genome-wide association discovery to analysis of functional mechanisms, attention has been lately focu...
A comparative study of new cross-validated bandwidth selectors for kernel density estimation
kernel density estimation data-adaptive bandwidth selection indirect cross-validation do-validation.
2012/11/22
Recent contributions to kernel smoothing show that the performance of cross-validated bandwidth selectors improve significantly from indirectness. Indirect crossvalidation first estimates the classica...
New semiparametric stationarity tests based on adaptive multidimensional increment ratio statistics
Gaussian fractionally integrated processes Adaptive semiparametric estimators of the meme-ory parameter test of long-memory stationarity test unit root test.
2012/9/19
In this paper, we show that the adaptive multidimensional increment ratio estimator of the long range memory parameter defined in Bardet and Dola (2012) satisfies acentral limit theorem (CLT in the se...
Astroinformatics of galaxies and quasars: a new general method for photometric redshifts estimation
cosmology observations galaxies:redshifts
2011/7/19
With the availability of the huge amounts of data produced by current and future large multi-band photometric surveys, photometric redshifts have become a crucial tool for extragalactic astronomy and ...
Copula representation of bivariate L-moments : A new estimation method for multiparameter 2-dimentional copula models
Copulas Dependence Multivariate L-moments Parametric estimation
2011/7/5
Recently, Serfling and Xiao (2007) extended the L-moment theory (Hosking, 1990) to the multivariate setting.
Test function: A new approach for covering the central subspace
Sufficient dimension reduction Central subspace Inverse regression
2011/7/5
In this paper we offer a complete methodology for sufficient dimension reduction called the test function (TF). TF provides a new family of methods for the estimation of the central subspace (CS) base...