Results 41 to 50 of about 41,085 (210)
Wavelet shrinkage using adaptive structured sparsity constraints [PDF]
, 2015 Structured sparsity approaches have recently received much attention in the statistics, machine learning, and signal processing communities. A common strategy is to exploit or assume prior information about structural dependencies inherent in the data ...
Tomassi, Diego Rodolfo +7 more
core +1 more source
Wavelet Estimators in Nonparametric Regression: A Comparative Simulation Study [PDF]
, 2001 Wavelet analysis has been found to be a powerful tool for the nonparametric estimation of spatially-variable objects. We discuss in detail wavelet methods in nonparametric regression, where the data are modelled as observations of a signal contaminated ...
Theofanis Sapatinas +5 more
core +1 more source
On Reliability Estimation for the Exponential Distribution Based on Monte Carlo Simulation
Ibn Al-Haitham Journal for Pure and Applied Sciences, 2018 This Research deals with estimation the reliability function for two-parameters Exponential distribution, using different estimation methods ; Maximum likelihood, Median-First Order Statistics, Ridge Regression, Modified Thompson-Type Shrinkage ...
Abbas Najim Salman, Taha Anwar Taha
doaj +1 more source
Small Area Shrinkage Estimation
Statistical Science, 2012 The need for small area estimates is increasingly felt in both the public and private sectors in order to formulate their strategic plans. It is now widely recognized that direct small area survey estimates are highly unreliable owing to large standard errors and coefficients of variation.
Datta, G., Ghosh, M.
openaire +4 more sources
Bayesian Approaches to Shrinkage and Sparse Estimation [PDF]
Foundations and Trends® in Econometrics, 2021 In all areas of human knowledge, datasets are increasing in both size and complexity, creating the need for richer statistical models. This trend is also true for economic data, where high-dimensional and nonlinear/nonparametric inference is the norm in several fields of applied econometric work. The purpose of this monograph is to introduce the reader
Korompilis, Dimitris, Shimizu, Kenichi
openaire +3 more sources
Objective Bayesian Estimators for the Right Censored Rayleigh Distribution
Revstat Statistical Journal, 2016 The Rayleigh distribution, serving as a special case of the Weibull distribution, is known to have wide applications in survival analysis, reliability theory and communication engineering.
J.T. Ferreira , A. Bekker , M. Arashi
doaj +1 more source
Nonparametric Estimation of the Link Function Including Variable Selection [PDF]
, 2010 Nonparametric methods for the estimation of the link function in generalized linear models are able to avoid bias in the regression parameters. But for the estimation of the link typically the full model, which includes all predictors, has been used ...
Petry, Sebastian, Tutz, Gerhard
core +1 more source
Shrinkage estimation under multivariate elliptic models
, 2013 The estimation of the location vector of a p-variate elliptically contoured distribution (ECD) is considered using independent random samples from two multivariate elliptically contoured populations when it is apriori suspected that the location vectors ...
Arashi, M. +3 more
core +1 more source
Intensity estimation of non-homogeneous Poisson processes from shifted trajectories [PDF]
, 2013 In this paper, we consider the problem of estimating nonparametrically a mean pattern intensity λ from the observation of n independent and non-homogeneous Poisson processes N1,…,Nn on the interval [0,1].
Marteau, Clément +3 more
core +1 more source
RisksMultiple linear regression remains a foundational predictive methodology across a broad range of applications. We propose a novel regression framework that, rather than minimising the aggregate prediction error associated with the dependent variable ...
Vali Asimit +3 more
doaj +1 more source