
Adaptively Robust Geographically Weighted Regression
We develop a new robust geographically weighted regression method in the...
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On Selection Criteria for the Tuning Parameter in Robust Divergence
While robust divergence such as density power divergence and γdivergenc...
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Robust Hierarchical Modeling of Counts under Zeroinflation and Outliers
Count data with zero inflation and large outliers are ubiquitous in many...
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Adaptation of the Tuning Parameter in General Bayesian Inference with Robust Divergence
We introduce a methodology for robust Bayesian estimation with robust di...
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General Unbiased Estimating Equations for Variance Components in Linear Mixed Models
This paper introduces a general framework for estimating variance compon...
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Locally Adaptive Smoothing for Functional Data
Despite increasing accessibility to function data, effective methods for...
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Spatially Clustered Regression
Spatial regression or geographically weighted regression models have bee...
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Parametric Bootstrap Confidence Intervals for the Multivariate FayHerriot Model
The multivariate FayHerriot model is quite effective in combining infor...
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Grouped GEE Analysis for Longitudinal Data
Generalized estimating equation (GEE) is widely adopted for regression m...
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LogRegularly Varying Scale Mixture of Normals for Robust Regression
Linear regression with the classical normality assumption for the error ...
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Predicting Infection of COVID19 in Japan: State Space Modeling Approach
The number of confirmed cases of the coronavirus disease (COVID19) in J...
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Robust Mixture Modeling using Weighted Complete Estimating Equations
Mixture modeling that takes account of potential heterogeneity in data i...
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Efficient testing and effect size estimation for setbased genetic association inference via semiparametric multilevel mixture modeling: Application to a genomewide associatio
In genetic association studies, rare variants with extremely small allel...
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Shrinkage with Robustness: LogAdjusted Priors for Sparse Signals
We introduce a new class of distributions named logadjusted shrinkage p...
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Robust Bayesian Regression with Synthetic Posterior
Regression models are fundamental tools in statistics, but they typicall...
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Bayesian Semiparametric Estimation with Nonignorable Nonresponse
Statistical inference with nonresponse is quite challenging, especially ...
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Bayesian approach to Lorenz curve using time series grouped data
This study is concerned with estimating the inequality measures associat...
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On Globallocal Shrinkage Priors for Count Data
Globallocal shrinkage prior has been recognized as useful class of prio...
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Improving the Accuracy of Confidence Intervals and Regions in Multivariate Randomeffects Metaanalysis
Multivariate randomeffects metaanalyses have been widely applied in ev...
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An approximate Bayesian approach to regression estimation with many auxiliary variables
Modelassisted estimation with complex survey data is an important pract...
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Efficient selection of predictive biomarkers for individual treatment selection
The development of molecular diagnostic tools to achieve individualized ...
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Estimation and inference for areawise spatial income distributions from grouped data
Estimating income distributions plays an important role in the measureme...
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Grouped Heterogeneous Mixture Modeling for Clustered Data
Clustered data which has a grouping structure (e.g. postal area, school,...
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A Unified Method for Exact Inference in Randomeffects Metaanalysis via Monte Carlo Conditioning
Randomeffects metaanalyses have been widely applied in evidence synthe...
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Shonosuke Sugasawa
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