Search Results - "Kobayashi, Genya"

Small area estimation of general finite-population parameters based on grouped data by Kawakubo, Yuki, Kobayashi, Genya

“…This paper proposes a new model-based approach to small area estimation of general finite-population parameters based on grouped data or frequency data, often…”
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Robust fitting of mixture models using weighted complete estimating equations by Sugasawa, Shonosuke, Kobayashi, Genya

“…Mixture modeling, which considers the potential heterogeneity in data, is widely adopted for classification and clustering problems. Mixture models can be…”
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Skew exponential power stochastic volatility model for analysis of skewness, non-normal tails, quantiles and expectiles by Kobayashi, Genya

“…This paper proposes a unified framework to analyse the skewness, tail heaviness, quantiles and expectiles of the return distribution based on a stochastic…”
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Predicting intervention effect for COVID-19 in Japan: state space modeling approach by Kobayashi, Genya, Sugasawa, Shonosuke, Tamae, Hiromasa, Ozu, Takayuki

“…Japan has observed a surge in the number of confirmed cases of the coronavirus disease (COVID-19) that has caused a serious impact on the society especially…”
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Bayesian Approach to Lorenz Curve Using Time Series Grouped Data by Kobayashi, Genya, Yamauchi, Yuta, Kakamu, Kazuhiko, Kawakubo, Yuki, Sugasawa, Shonosuke

“…This study is concerned with estimating the inequality measures associated with the underlying hypothetical income distribution from the times series grouped…”
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Estimation and inference for area-wise spatial income distributions from grouped data by Sugasawa, Shonosuke, Kobayashi, Genya, Kawakubo, Yuki

“…Estimating income distributions plays an important role in the measurement of inequality and poverty over space. The existing literature on income…”
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Approximate Bayesian computation for Lorenz curves from grouped data by Kobayashi, Genya, Kakamu, Kazuhiko

“…This paper proposes a new Bayesian approach to estimate the Gini coefficient from the grouped data on the Lorenz curve. The proposed approach assumes a…”
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Bayesian analysis of quantile regression for censored dynamic panel data by Kobayashi, Genya, Kozumi, Hideo

“…This paper develops a Bayesian approach to analyzing quantile regression models for censored dynamic panel data. We employ a likelihood-based approach using…”
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Generalized multiple-point Metropolis algorithms for approximate Bayesian computation by Kobayashi, Genya, Kozumi, Hideo

“…It is well known that the approximate Bayesian computation algorithm based on Markov chain Monte Carlo methods suffers from the sensitivity to the choice of…”
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Public health improvements and mortality in interwar Tokyo: a Bayesian disease mapping approach by Ogasawara, Kota, Shirota, Shinichiro, Kobayashi, Genya

“…Recent studies have found that modern water supply systems played an important role in mitigating the mortality risks in major US cities in the early twentieth…”
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Gibbs sampling methods for Bayesian quantile regression by Kozumi, Hideo, Kobayashi, Genya

“…This paper considers quantile regression models using an asymmetric Laplace distribution from a Bayesian point of view. We develop a simple and efficient Gibbs…”
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AN INTEGRATED PURCHASE MODEL USING GAUSSIAN COPULA by Kobayashi, Genya, Kakamu, Kazuhiko, Sato, Eisaku, Kozumi, Hideo

“…This paper proposes an integrated purchase model of household category purchase incidence, brand choice, and purchase quantity choice using the Gaussian…”
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Bayesian Endogenous Tobit Quantile Regression by Kobayashi, Genya

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A transdimensional approximate Bayesian computation using the pseudo-marginal approach for model choice by Kobayashi, Genya

“…When the likelihood functions are either unavailable analytically or are computationally cumbersome to evaluate, it is impossible to implement conventional…”
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Latent mixture modeling for clustered data by Sugasawa, Shonosuke, Kobayashi, Genya, Kawakubo, Yuki

“…This article proposes a mixture modeling approach to estimating cluster-wise conditional distributions in clustered (grouped) data. We adapt the…”
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Flexible Bayesian quantile curve fitting with shape restrictions under the Dirichlet process mixture of the generalized asymmetric Laplace distribution by Kobayashi, Genya, Roh, Taeyoung, Lee, Jangwon, Choi, Taeryon

“…We propose a flexible Bayesian semiparametric quantile regression model based on Dirichlet process mixtures of generalized asymmetric Laplace distributions for…”
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Predicting intervention effect for COVID-19 in Japan: state space modeling approach by Kobayashi, Genya, Sugasawa, Shonosuke, Tamae, Hiromasa, Ozu, Takayuki

“…Japan has observed a surge in the number of confirmed cases of the coronavirus disease (COVID-19) that has caused a serious impact on the society especially…”
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Bayesian factor zero-inflated Poisson model for multiple grouped count data by Kobayashi, Genya, Yamauchi, Yuta

“…This paper proposes a computationally efficient Bayesian factor model for multiple grouped count data. Adopting the link function approach, the proposed model…”
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The impact of social workers on infant mortality in inter-war Tokyo: Bayesian dynamic panel quantile regression with endogenous variables by Ogasawara, Kota, Kobayashi, Genya

“…Although no comprehensive sickness insurance system existed in Japan until the mid-twentieth century, the infant mortality rate in Japan started to decline…”
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General Bayesian quantile regression for counts via generative modeling by Yamauchi, Yuta, Kobayashi, Genya, Sugasawa, Shonosuke

“…Although quantile regression has emerged as a powerful tool for understanding various quantiles of a response variable conditioned on a set of covariates, the…”
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