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07/30/2023
Credible intervals and bootstrap confidence intervals in monotone regression
In the recent paper [5], a Bayesian approach for constructing confidence...
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05/04/2023
Existence and approximation of densities of chord length- and cross section area distributions
In various stereological problems an n-dimensional convex body is inters...
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05/04/2023
Stereological determination of particle size distributions for similar convex bodies
Consider an opaque medium which contains 3D particles. All particles are...
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05/04/2023
Credibility of high R^2 in regression problems: a permutation approach
The question of whether Y can be predicted based on X often arises and w...
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03/31/2023
Confidence intervals in monotone regression
We construct bootstrap confidence intervals for a monotone regression fu...
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03/24/2021
Statistical Integration of Heterogeneous Data with PO2PLS
The availability of multi-omics data has revolutionized the life science...
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02/05/2021
Improving state estimation through projection post-processing for activity recognition in football
The past decade has seen an increased interest in human activity recogni...
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05/11/2020
Interpretable random forest models through forward variable selection
Random forest is a popular prediction approach for handling high dimensi...
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02/03/2020
Isotonic regression for metallic microstructure data: estimation and testing under order restrictions
Investigating the main determinants of the mechanical performance of met...
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11/23/2019
Bayesian nonparametric estimation in the current status continuous mark model
In this paper we consider the current status continuous mark model where...
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09/02/2019
Nonparametric Bayesian estimation of a concave distribution function with mixed interval censored data
Assume we observe a finite number of inspection times together with info...
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02/28/2019
General framework for testing Poisson-Voronoi assumption for real microstructures
Modeling microstructures is an interesting problem not just in Materials...
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06/14/2018
Improving precipitation forecast using extreme quantile regression
Aiming to predict extreme precipitation forecast quantiles, we propose a...
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01/08/2018