research
∙
07/17/2023
Operator Guidance Informed by AI-Augmented Simulations
This paper will present a multi-fidelity, data-adaptive approach with a ...
share
research
∙
03/17/2023
Non-Steepness and Maximum Likelihood Estimation Properties of the Truncated Multivariate Normal Distributions
We consider the truncated multivariate normal distributions for which ev...
research
∙
12/13/2022
A smoothed semiparametric likelihood for estimation of nonparametric finite mixture models with a copula-based dependence structure
In this manuscript, we consider a finite multivariate nonparametric mixt...
research
∙
09/23/2022
Nonparametric clustering of RNA-sequencing data
Identification of clusters of co-expressed genes in transcriptomic data ...
research
∙
03/10/2020
Estimation and Inference of Time-Varying Auto-Covariance under Complex Trend: A Difference-based Approach
We propose a difference-based nonparametric methodology for the estimati...
research
∙
05/11/2019
ACF estimation via difference schemes for a semiparametric model with m-dependent errors
In this manuscript, we discuss a class of difference-based estimators of...
research
∙
04/12/2019
Independence Properties of the Truncated Multivariate Elliptical Distributions
Truncated multivariate distributions arise extensively in econometric mo...
research
∙
04/12/2019
Estimation of group means in generalized linear mixed models
In this manuscript, we investigate the group mean estimation and predict...
research
∙
12/29/2017
Identifiability of two-component skew normal mixtures with one known component
We give sufficient identifiability conditions for estimating mixing prop...
research
∙
12/25/2017