Results 151 to 160 of about 373,332 (254)
Statistical inference for inverse problems [PDF]
In this paper we study statistical inference for certain inverse problems. We go beyond mere estimation purposes and review and develop the construction of confidence intervals and confidence bands in some inverse problems, including deconvolution and ...
Bissantz, Nicolai, Holzmann, Hajo
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The local asymptotic normality of pointed processes. [PDF]
, 2012 The purpose of this work is to determine general conditions for local asymptotic normality to be assured.The point processes (renewal process and non-homogenous Poisson process) and their properties are examined in the first part of work.
Tarasova, Darja,
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Driven by SDGs, Powered by Human Capital: Managing Emotional Health in SMEs
Business Strategy and the Environment, EarlyView.ABSTRACT This study examines the mediating role of human capital between company emotional capital and managerial perceptions of employees' emotional health, analysing how this relationship is conditioned by the pursuit of specific sustainable development goals (SDGs 3, 4, 5, 8) and perceived institutional pressures in SMEs.
Jesús Barrena‐Martínez +3 more
wiley +1 more source
The Filament Extension Atomization Process for Powder Production of Elastic Fluids
Chemie Ingenieur Technik, EarlyView.Filament extension atomization is a promising technique for spraying a wide range of materials, enabling narrow droplet size distributions. This study examines the behavior of various fluids and suspensions to define application limits and identify optimal operating conditions.
Moritz Neukötter +4 more
wiley +1 more source
ESTIMATION AND ASYMPTOTIC THEORY FOR A NEW CLASS OF MIXTURE MODELS [PDF]
In this paper a new model of mixture of distributions is proposed, where the mixing structure is determined by a smooth transition tree architecture.
Eduardo Mendes +2 more
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Canadian Journal of Statistics, EarlyView.Abstract This article presents a strategy for conducting regression analysis of zero‐truncated recurrent event data. The research is partly motivated by a pediatric mental health care (PMHC) program based on administrative data. We are particularly interested in how the occurrence of an event depends on its past occurrences and the associated ...
Anqi A. Chen +3 more
wiley +1 more source
Nonparametric maximum likelihood estimation of the survival function using current lifetime data
Canadian Journal of Statistics, EarlyView.Abstract An issue when estimating the failure time survival function is how to set up a prevalent cohort study infrastructure to follow subjects after enrollment. This problem can be circumvented through the well‐known Grenander density estimator using current lifetime observations only.
James H. McVittie, Masoud Asgharian
wiley +1 more source
Optimal subsampling for regression with mixed‐type predictors
Canadian Journal of Statistics, EarlyView.Abstract Subsampling has emerged as an appealing strategy to mitigate the computational and storage challenges imposed by large datasets. Recent subsampling techniques have shown notable computational gains for data dominated by numerical predictors. However, real‐world datasets frequently contain both numerical and categorical predictors.
Jiaqing Zhu, Lin Wang, Fasheng Sun
wiley +1 more source
Canadian Journal of Statistics, EarlyView.Abstract Homogeneous normalized random measures with independent increments represent a broad class of Bayesian nonparametric priors and thus are widely used. In this article, we obtain the strong law of large numbers, the central limit theorem (CLT), and the functional central limit theorem (fCLT) of such measures when the concentration parameter a ...
Junxi Zhang, Shui Feng, Yaozhong Hu
wiley +1 more source
Sparse maximum likelihood estimation of regression models
Canadian Journal of Statistics, EarlyView.Abstract For regression model selection and estimation, we study a small set of candidate models of maximum likelihood from which all information criteria such as the Akaike information criterion (AIC) and the Bayesian information criterion (BIC) choose their models.
Min Tsao
wiley +1 more source