Mariko Yamamura

发表

A nonparametric method of multi-step ahead forecasting in diffusion processes

Mariko Yamamura, I. Shoji, 2010 .

Variable Selection in Multivariate Linear Regression Models with Fewer Observations than the Dimension

M. Srivastava, H. Yanagihara, Mariko Yamamura, 2010 .

Illustration of the Varying Coefficient Model for a Tree Growth Analysis from the Age and Space Perspectives

Hirokazu Yanagihara, Mariko Yamamura, H. Yanagihara, 2016 .

Coordinate descent algorithm of generalized fused Lasso logistic regression for multivariate trend filtering

H. Yanagihara, Mariko Yamamura, M. Ohishi, 2022, Japanese Journal of Statistics and Data Science.

Statistical Inference with Unnormalized Models

Mariko Yamamura, 2019 .

Radiation Risks for the Incidence of Kidney, Bladder and Other Urinary Tract Cancers: 1958–2009

H. Sugiyama, D. Preston, K. Mabuchi, 2020, Radiation Research.

Demand for pneumococcal vaccination under subsidy program for the elderly in Japan

I. Okubo, M. Kondo, Mariko Yamamura, 2012, BMC Health Services Research.

A Fast Optimization Method for Additive Model via Partial Generalized Ridge Regression

Keisuke Fukui, Mariko Yamamura, Mineaki Ohishi, 2020, KES-IDT.

Comparison with Residual-Sum-of-Squares-Based Model Selection Criteria for Selecting Growth Functions

H. Yanagihara, Mariko Yamamura, K. Fukui, 2015 .

Comparison with RSS-Based Model Selection Criteria for Selecting Growth Functions

H. Yanagihara, Mariko Yamamura, K. Fukui, 2014 .

Variable Selection by Cp Statistic in Multiple Responses Regression with Fewer Sample Size Than the Dimension

Hirokazu Yanagihara, Muni S. Srivastava, Mariko Yamamura, 2010, KES.

Variable Selection

Cees G. M. Snoek, Hirokazu Yanagihara, Muni S. Srivastava, 2019, Model-Based Clustering and Classification for Data Science.

Spatio-Temporal Adaptive Fused Lasso for Proportion Data

Hirokazu Yanagihara, Mariko Yamamura, Mineaki Ohishi, 2021, KES-IDT.

Ordering Municipalities by Medical Cost Efficiency Under the Japanese National Health Insurance System Using the Stochastic Cost Frontier Model

H. Yanagihara, Mariko Yamamura, 2009 .

A Study on the Bias-Correction Effect of the AIC for Selecting Variables in Normal Multivariate Linear Regression Models under Model Misspecification

H. Yanagihara, K. Kamo, Mariko Yamamura, 2013 .