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Jointly Type-II Censored Length-Biased Exponential Distributions
This paper deals with the jointly Type-II censored length-biased exponential populations. In this study, after introducing the jointly Type-II...
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Confidence Intervals for the Difference and Ratio of Medians of the Delta-Lognormal Distribution
AbstractThe primary objective of this research is to investigate the construction of confidence intervals (CIs) for the difference and ratio of...
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Classical and Bayesian Methods for Testing the Ratio of Variances of Delta-Lognormal Distributions
AbstractSix test statistics based on classical methods such as the generalized confidence interval (GCI), fiducial GCI (FGCI), and the method of...
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Analysis of Progressive Type-II Competing Risks Data, with Applications
AbstractIn this study, a competing risk (CR) model is studied under progressive Type-II censoring (PTIIC) lifetimes having the inverted Topp–Leone...
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Theory and practice of a bivariate trigonometric Burr XII distribution
The precise modeling of bivariate continuous characteristics remains an actual challenge in probability and statistics. In this paper, we explore a...
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Statistical inference of inverted Nadarajah–Haghighi distribution under type-II generalized hybrid censoring competing risks data
Tahir et al. (J Stat Comput Simul 88(14):2775–2798, 2018) introduced the inverse Nadarajah–Haghighi distribution (INHD) and demonstrated its ability...
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Confidence Intervals of the Inverse of Coefficient of Variation of Delta-Gamma Distribution
AbstractThe inverse of the coefficient of variation (ICV), otherwise known as the signal to-noise ratio, is the ratio of the population standard...
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Multi-component Reliability Inference in Modified Weibull Extension Distribution and Progressive Censoring Scheme
The statistical inference of multi-component reliability stress–strength system with nonidentical-component strengths is considered for the modified...
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A CVAE-within-Gibbs sampler for Bayesian linear inverse problems with hyperparameters
We propose a conditional variational auto-encoder within Gibbs sampling (CVAE-within-Gibbs) for Bayesian linear inverse problems where the prior or...
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Combining noisy well data and expert knowledge in a Bayesian calibration of a flow model under uncertainties: an application to solute transport in the Ticino basin
Groundwater flow modeling is commonly used to calculate groundwater heads, estimate groundwater flow paths and travel times, and provide insights...
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Statistical Inference of Burr-XII Distribution Under Adaptive Type II Progressive Censored Schemes with Competing Risks
This paper discusses the adaptive type II progressive censored data under the competitive risk model from multiple aspects such as experimental...
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Nearly optimal Bayesian shrinkage for high-dimensional regression
During the past decade, shrinkage priors have received much attention in Bayesian analysis of high-dimensional data. This paper establishes the...
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Inference on generalized inverted exponential distribution based on record values and inter-record times
Based on record values and inter-record times, this paper develops inference procedures for the estimation of the parameters of generalized inverted...
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An information inequality for Bayesian analysis in imaging problems
The Cramér–Rao bound on the covariance and the Fisher information matrix are widely used in inverse (or imaging) problems. Within the Bayesian...
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Hierarchical Models and Bayesian Sparsity
Algorithms for finding sparse solutions are of importance in several application areas, and the design of penalty functionals that promote sparsity...
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Model Change Active Learning in Graph-Based Semi-supervised Learning
Active learning in semi-supervised classification involves introducing additional labels for unlabelled data to improve the accuracy of the...
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Reliability of a Multicomponent Stress-strength Model Based on a Bivariate Kumaraswamy Distribution with Censored Data
In this paper, we consider a system which has k statistically independent and identically distributed strength components and each component is...
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Variational Bayesian inversion for the reaction coefficient in space-time nonlocal diffusion equations
In the paper, a variational Bayesian method is used to identify the reaction coefficient for space-time nonlocal diffusion equations using nonlocal...
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Bayesian Approach to Multimodal Data in Human Factors Engineering
Human behavior is complex, especially when engaging with large or ill-defined systems, and traditional statistical approaches typically cannot...
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Hidden Markov Models: Inverse Filtering, Belief Estimation and Privacy Protection
A hidden Markov model (HMM) comprises a state with Markovian dynamics that can only be observed via noisy sensors. This paper considers three...