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08/18/2023
On High-Dimensional Asymptotic Properties of Model Averaging Estimators
When multiple models are considered in regression problems, the model av...
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12/07/2022
Predictive densities for multivariate normal models based on extended models and shrinkage Bayes methods
We investigate predictive densities for multivariate normal models with ...
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09/29/2022
Improved prediction for independent Poisson processes under Kullback-Leibler loss
We consider simultaneous predictive distributions for independent Poisso...
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07/05/2022
Asymptotic Analysis of Parameter Estimation for Ewens–Pitman Partition
We discuss the asymptotic analysis of parameter estimation for Ewens–Pit...
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04/19/2021
Structured regularization based local earthquake tomography for the adaptation to velocity discontinuities
Here we propose a local earthquake tomography method that applies a stru...
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01/13/2021
Enriched standard conjugate priors and the right invariant prior for Wishart distributions
We investigate Bayesian predictions for Wishart distributions by using t...
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06/07/2020
Shrinkage priors for nonparametric Bayesian prediction of nonhomogeneous Poisson processes
We consider nonparametric Bayesian estimation and prediction for nonhomo...
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04/06/2020
Shrinkage priors on complex-valued circular-symmetric autoregressive processes
We investigate shrinkage priors on power spectral densities for complex-...
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06/18/2019
Extended Plugin Densities for Curved Exponential Families
Extended plugin densities are proposed as predictive densities for curve...
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02/28/2019
Learning partially ranked data based on graph regularization
Ranked data appear in many different applications, including voting and ...
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12/14/2018
Asymptotically Minimax Predictive Density for Sparse Count Data
Predictive density estimation under the Kullback--Leibler loss in high-d...
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08/24/2018
Analysis of Noise Contrastive Estimation from the Perspective of Asymptotic Variance
There are many models, often called unnormalized models, whose normalizi...
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06/05/2017