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Dynamics of a Stochastic Regime-Switching Four-Species Food Chain Model with Distributed Delays and Harvesting
This paper concerns the dynamics of a stochastic regime-switching four-species food chain model with distributed delays, Lévy jumps and harvesting in...
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Wasserstein barycenter regression: application to the joint dynamics of regional GDP and life expectancy in Italy
We propose to investigate the joint dynamics of regional gross domestic product and life expectancy in Italy through Wasserstein barycenter...
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Transient analysis of two heterogeneous servers queueing system with differentiated vacations subject to system disaster, server repair
This research paper examines the dynamic behavior of a heterogeneous two-server queuing model that incorporates differentiated vacation periods....
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Simple tests on multiple correlation coefficient in high-dimensional normal data
The multiple correlation coefficient (MCC) quantifies the maximum correlation between a variable and a linear combination of a set of variables....
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Effect of unequal variance on statistical tests for mixed paired and two-sample designs
Observations from studies comparing two treatments can involve both paired and independent samples. While tests have been proposed to utilize both...
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Performance evaluation of nursing homes using finite mixtures of logistic models and M-quantile regression for binary data
Evaluating the performance of health care institutions is of paramount interest and it is often conducted using generalized linear mixed models. In...
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Scale invariant and efficient estimation for groupwise scaled envelope model
Motivated by different groups containing different group information under the heteroscedastic error structure, we propose the groupwise scaled...
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Analyzing RNA-Seq Data in Complex Study Designs
Recently, RNA-seq experiments have become a routine technique in studying the transcriptomic regulations in various biomedical problems. The...
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Statistical inference of pth-order generalized binomial autoregressive model
To capture the higher-order autocorrelation structure for finite-range integer-valued time series of counts, and to consider the interdependence...
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Set-Based Tests for Genetic Association Studies with Interval-Censored Competing Risks Outcomes
Over the past decade, massive genetic compendiums such as the UK Biobank have gathered extensive genetic and phenotypic data that hold the potential...
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Oracle-efficient M-estimation for single-index models with a smooth simultaneous confidence band
Single-index models are important and popular semiparametric models, as they can handle the problem of the “curse of dimensionality” and enjoy the...
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Flexible Clustering with a Sparse Mixture of Generalized Hyperbolic Distributions
Robust clustering of high-dimensional data is an important topic because clusters in real datasets are often heavy-tailed and/or asymmetric....
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Bayesian diagnostics in a partially linear model with first-order autoregressive skew-normal errors
This paper studies a Bayesian local influence method to detect influential observations in a partially linear model with first-order autoregressive...
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Empirical likelihood change point detection in quantile regression models
Quantile regression is an extension of linear regression which estimates a conditional quantile of interest. In this paper, we propose an empirical...
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Multivariate Leimkuhler Curve: Properties and Applications to Analysis of Bibliometric Data
The Leimkuhler curve has established itself as an efficient tool in the analysis and comparison of concentration of bibliometric measures of...
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Estimation and backtesting of risk measures with emphasis on distortion risk measures
Statistical methodology has an important role to play in risk measurement. In this paper, we will review and discuss some statistical issues on risk...
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Predicting species-level vegetation cover using large satellite imagery data sets
Accurate information on the distribution of vegetation species is used as a proxy for the health of an ecosystem, a currency of international...
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