Search Results for author: Shonosuke Sugasawa

Found 15 papers, 12 papers with code

Adaptively Robust and Sparse K-means Clustering

no code implementations9 Jul 2024 Hao Li, Shonosuke Sugasawa, Shota Katayama

While K-means is known to be a standard clustering algorithm, it may be compromised due to the presence of outliers and high-dimensional noisy variables.

Bayesian Spatial Predictive Synthesis

no code implementations10 Mar 2022 Danielle Cabel, Shonosuke Sugasawa, Masahiro Kato, Kosaku Takanashi, Kenichiro McAlinn

Spatial data are characterized by their spatial dependence, which is often complex, non-linear, and difficult to capture with a single model.

Model Selection Uncertainty Quantification +1

Grouped Generalized Estimating Equations for Longitudinal Data Analysis

1 code implementation11 Jun 2020 Tsubasa Ito, Shonosuke Sugasawa

Generalized estimating equation (GEE) is widely adopted for regression modeling for longitudinal data, taking account of potential correlations within the same subjects.

Methodology

Log-Regularly Varying Scale Mixture of Normals for Robust Regression

1 code implementation6 May 2020 Yasuyuki Hamura, Kaoru Irie, Shonosuke Sugasawa

Linear regression with the classical normality assumption for the error distribution may lead to an undesirable posterior inference of regression coefficients due to the potential outliers.

Methodology

Robust Fitting of Mixture Models using Weighted Complete Estimating Equations

1 code implementation8 Apr 2020 Shonosuke Sugasawa, Genya Kobayashi

This study proposes a method of weighted complete estimating equations (WCE) for the robust fitting of mixture models.

Methodology

Robust Bayesian Regression with Synthetic Posterior

1 code implementation2 Oct 2019 Shintaro Hashimoto, Shonosuke Sugasawa

Although linear regression models are fundamental tools in statistical science, the estimation results can be sensitive to outliers.

Methodology

Bayesian Semiparametric Modeling of Response Mechanism for Nonignorable Missing Data

1 code implementation6 Sep 2019 Shonosuke Sugasawa, Kosuke Morikawa, Keisuke Takahata

Statistical inference with nonresponse is quite challenging, especially when the response mechanism is nonignorable.

Methodology

On Global-local Shrinkage Priors for Count Data

1 code implementation2 Jul 2019 Yasuyuki Hamura, Kaoru Irie, Shonosuke Sugasawa

Global-local shrinkage prior has been recognized as useful class of priors which can strongly shrink small signals towards prior means while keeping large signals unshrunk.

Methodology

Improved Confidence Regions in Meta-analysis of Diagnostic Test Accuracy

1 code implementation20 Jun 2019 Tsubasa Ito, Shonosuke Sugasawa

Meta-analyses of diagnostic test accuracy (DTA) studies have been gathering attention in research in clinical epidemiology and health technology development, and bivariate random-effects model is becoming a standard tool.

Methodology

An Approximate Bayesian Approach to Model-assisted Survey Estimation with Many Auxiliary Variables

no code implementations11 Jun 2019 Shonosuke Sugasawa, Jae Kwang Kim

Model-assisted estimation with complex survey data is an important practical problem in survey sampling.

Methodology

Efficient selection of predictive biomarkers for individual treatment selection

1 code implementation5 May 2019 Shonosuke Sugasawa, Hisashi Noma

The development of molecular diagnostic tools to achieve individualized medicine requires identifying predictive biomarkers associated with subgroups of individuals who might receive beneficial or harmful effects from different available treatments.

Methodology

Estimation and inference for area-wise spatial income distributions from grouped data

1 code implementation25 Apr 2019 Shonosuke Sugasawa, Genya Kobayashi, Yuki Kawakubo

Based on the multinomial likelihood function for grouped data, we propose a spatial state-space model for area-wise parameters of parametric income distributions.

Methodology

Grouped Heterogeneous Mixture Modeling for Clustered Data

1 code implementation3 Apr 2018 Shonosuke Sugasawa

Clustered data is ubiquitous in a variety of scientific fields.

Methodology

A Unified Method for Improved Inference in Random-effects Meta-analysis

1 code implementation17 Nov 2017 Shonosuke Sugasawa, Hisashi Noma

Random-effects meta-analyses have been widely applied in evidence synthesis for various types of medical studies.

Methodology

Adaptively Transformed Mixed Model Prediction of General Finite Population Parameters

1 code implementation11 May 2017 Shonosuke Sugasawa, Tatsuya Kubokawa

For estimating area-specific parameters (quantities) in a finite population, a mixed model prediction approach is attractive.

Methodology

Cannot find the paper you are looking for? You can Submit a new open access paper.