Oda Ryoya 小田凌也

Researcher Number	10853682
Other IDs	https://orcid.org/0000-0001-7427-4790
Affiliation (Current)	2025: 広島大学, 先進理工系科学研究科(理), 准教授
Affiliation (based on the past Project Information) *help	2025: 広島大学, 先進理工系科学研究科(理), 准教授 2022 – 2024: 広島大学, 先進理工系科学研究科(理), 助教 2019 – 2024: 広島大学, 情報科学部, 特任助教
Review Section/Research Field	Principal Investigator Basic Section 12040:Applied mathematics and statistics-related Except Principal Investigator Medium-sized Section 64:Environmental conservation measure and related fields / Basic Section 57050:Prosthodontics-related / Basic Section 04010:Geography-related / Basic Section 60030:Statistical science-related / Medium-sized Section 4:Geography, cultural anthropology, folklore, and related fields
Keywords	Principal Investigator 多変量解析 / モデル選択 / 多変量線形回帰 / 変数選択法 / 高次元漸近理論 / 変数選択 / 高次元 / 一致性 / 多変量モデル Except Principal Investigator 次世代シーケンサ … More / メタゲノム解析 / 植物DNA / 植生 / 土壌有機物 / 拡散モデル / 森林生態系資源管理 / 松枯れ拡散防止 / 韓国松枯れ / 病害虫拡散予測モデル / 離散最適化 / 持続的森林生態系管理 / 代謝物質 / 腸内細菌 / 歯の欠損 / 認知機能 / メタボローム解析 / 歯の喪失 / 腸内細菌叢 / 法科学 / 土地利用 / 放射線 / 生存時間解析 / 時空間統計モデル / 地理情報システム / Fused Lasso / Fused-Lasso / 情報量規準 / 時空間統計解析 / fused-lasso / スパース推定 / 分析化学 / DNAメタバーコーディング / 地理学 / 土壌学 / 土壌微生物 / 次世代シーケンサ（NGS） / 地域推定 / 統計学的解析 / 異同識別 / 腐植 / NGS / 熱分解GC-MS Less

サンプル内外のどちらの予測にも対応した多変量回帰モデルにおける変数選択法の開発Principal Investigator
- Principal Investigator
  
  小田凌也
- Project Period (FY)
  2025 – 2027
- Research Category
  
  Grant-in-Aid for Early-Career Scientists
- Review Section
  
  Basic Section 12040:Applied mathematics and statistics-related
- Research Institution
  Hiroshima University
Development of a Spatio-Temporal Risk Estimation Model for Exposure to the Atomic Bombings of Hiroshima and Nagasaki Using Fused-Lasso
- Principal Investigator
  
  Yamamura Mariko
- Project Period (FY)
  2024
- Research Category
  
  Grant-in-Aid for Scientific Research (B)
- Review Section
  
  Basic Section 60030:Statistical science-related
- Research Institution
  Hiroshima University
  Radiation Effects Research Foundation
Study on estimation of land use and vegetation from soil samples by organic matter analysis and plant DNA analysis
- Principal Investigator
  
  柘浩一郎
- Project Period (FY)
  2024 – 2026
- Research Category
  
  Grant-in-Aid for Scientific Research (C)
- Review Section
  
  Basic Section 04010:Geography-related
- Research Institution
  National Research Institute of Police Science
Elucidating the mechanism of cognitive decline caused by tooth loss through metabolome analysis
- Principal Investigator
  
  横井美有希
- Project Period (FY)
  2024 – 2026
- Research Category
  
  Grant-in-Aid for Scientific Research (C)
- Review Section
  
  Basic Section 57050:Prosthodontics-related
- Research Institution
  Fujita Health University
Optimal Pine Wilt Disease Prevention Policy in South Korea through Sustainable Forest Ecosystem Management by Discrete Optimization
- Principal Investigator
  
  吉本敦
- Project Period (FY)
  2024 – 2028
- Research Category
  
  Fund for the Promotion of Joint International Research (International Collaborative Research)
- Review Section
  
  Medium-sized Section 64:Environmental conservation measure and related fields
- Research Institution
  The Institute of Statistical Mathematics
Development of consistent variable selection criteria with high-dimensional response and explanatory variables using forward-backward stepwise selection methodPrincipal Investigator
- Principal Investigator
  
  Oda Ryoya
- Project Period (FY)
  2020 – 2023
- Research Category
  
  Grant-in-Aid for Early-Career Scientists
- Review Section
  
  Basic Section 12040:Applied mathematics and statistics-related
- Research Institution
  Hiroshima University
Presumption of soil collecting point using geoscientific, chemical and biological method.
- Principal Investigator
  
  TSUGE KOICHIRO
- Project Period (FY)
  2019 – 2024
- Research Category
  
  Grant-in-Aid for Challenging Research (Exploratory)
- Review Section
  
  Medium-sized Section 4:Geography, cultural anthropology, folklore, and related fields
- Research Institution
  National Research Institute of Police Science

All 2025 2024 2023 2022 2021 2020

All Journal Article Presentation

[Journal Article] Ciliochoroidal Detachment After Intrascleral Lens Fixation Using the Yamane Technique2024
- Author(s)
  Sadahide Ayako、Ohara Hiromi、Oda Ryoya、Harada Yosuke
- Journal Title
  
  Cureus
  
  Volume: 16 Pages: 1-7
- DOI
  10.7759/cureus.66562
- Peer Reviewed / Open Access
- Data Source
  KAKENHI-PROJECT-23K20376, KAKENHI-PROJECT-24KK0202
[Journal Article] A Clinical Trial Evaluating the Efficacy of Deep Learning-Based Facial Recognition for Patient Identification in Diverse Hospital Settings2024
- Author(s)
  Sadahide Ayako、Itoh Hideki、Moritou Ken、Kameyama Hirofumi、Oda Ryoya、Tabuchi Hitoshi、Kiuchi Yoshiaki
- Journal Title
  
  Bioengineering
  
  Volume: 11 Issue: 4 Pages: 384-384
- DOI
  10.3390/bioengineering11040384
- Peer Reviewed / Open Access
- Data Source
  KAKENHI-PROJECT-23K20376, KAKENHI-PROJECT-24KK0202
[Journal Article] On model selection consistency using a kick-one-out method for selecting response variables in high-dimensional multivariate linear regression2024
- Author(s)
  Oda Ryoya、Yanagihara Hirokazu、Fujikoshi Yasunori
- Journal Title
  
  Communications in Statistics - Theory and Methods
  
  Volume: 54 Issue: 8 Pages: 2451-2465
- DOI
  10.1080/03610926.2024.2370914
- Peer Reviewed
- Data Source
  KAKENHI-PROJECT-23K20376, KAKENHI-PROJECT-23K25506, KAKENHI-PROJECT-24KK0202
[Journal Article] Forensic discrimination of fiber microspectrophotometry data by resampling and repeating two-sample hypothesis testing2024
- Author(s)
  Itamiya Hiromi、Oda Ryoya、Yanagihara Hirokazu、Kasamatsu Masaaki、Tsuge Koichiro
- Journal Title
  
  Microchemical Journal
  
  Volume: 206 Pages: 111440-111440
- DOI
  10.1016/j.microc.2024.111440
- Peer Reviewed / Open Access
- Data Source
  KAKENHI-PROJECT-23K20376, KAKENHI-PROJECT-24KK0202
[Journal Article] Impact of cancer and other causes of death on mortality of cancer patients: A study based on Japanese population‐based registry data2023
- Author(s)
  Charvat Hadrien、Fukui Keisuke、Matsuda Tomohiro、Katanoda Kota、Ito Yuri
- Journal Title
  
  International Journal of Cancer
  
  Volume: 153 Issue: 6 Pages: 1162-1171
- DOI
  10.1002/ijc.34610
- Peer Reviewed / Open Access / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-21K17288, KAKENHI-PROJECT-22K10559, KAKENHI-PROJECT-19H01076, KAKENHI-PROJECT-23K20376, KAKENHI-PROJECT-23K21510
[Journal Article] An l_2,0-norm constrained matrix optimization via extended discrete first-order algorithms2023
- Author(s)
  Ryoya Oda, Mineaki Ohishi, Yuya Suzuki, and Hirokazu Yanagihara
- Journal Title
  
  Hiroshima Mathematical Journal
  
  Volume: -
- Peer Reviewed / Open Access
- Data Source
  KAKENHI-PROJECT-20K14363
[Journal Article] Kick-one-out-based variable selection method using ridge-type Cp criterion in high-dimensional multi-response linear regression models2023
- Author(s)
  Ryoya Oda
- Journal Title
  
  Intelligent Decision Technologies, Smart Innovation, Systems and Technologies
  
  Volume: -
- Peer Reviewed
- Data Source
  KAKENHI-PROJECT-20K14363
[Journal Article] An l_2,0-norm constrained matrix optimization via extended discrete first-order algorithms2023
- Author(s)
  Oda Ryoya、Ohishi Mineaki、Suzuki Yuya、Yanagihara Hirokazu
- Journal Title
  
  Hiroshima Mathematical Journal
  
  Volume: -
- Peer Reviewed / Open Access
- Data Source
  KAKENHI-PROJECT-23K20376
[Journal Article] Kick-one-out-based variable selection method using ridge-type Cp criterion in high-dimensional multi-response linear regression models2023
- Author(s)
  Oda Ryoya
- Journal Title
  
  Smart Innovation, Systems and Technologies: Intelligent Decision Technologies
  
  Volume: -
- Peer Reviewed
- Data Source
  KAKENHI-PROJECT-23K20376
[Journal Article] An l2,0-norm constrained matrix optimization via extended discrete first-order algorithms2023
- Author(s)
  Oda Ryoya、Ohishi Mineaki、Suzuki Yuya、Yanagihara Hirokazu
- Journal Title
  
  Hiroshima Mathematical Journal
  
  Volume: 53 Issue: 3 Pages: 251-267
- DOI
  10.32917/h2021058
- Peer Reviewed / Open Access
- Data Source
  KAKENHI-PROJECT-20K14363, KAKENHI-PROJECT-23K20376, KAKENHI-PROJECT-23K25506
[Journal Article] How much can screening reduce colorectal cancer mortality in Japan? Scenario-based estimation by microsimulation2021
- Author(s)
  Kamo Ken-Ichi、Fukui Keisuke、Ito Yuri、Nakayama Tomio、Katanoda Kota
- Journal Title
  
  Japanese Journal of Clinical Oncology
  
  Volume: 52 Issue: 3 Pages: 221-226
- DOI
  10.1093/jjco/hyab195
- Peer Reviewed / Open Access / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-19H01076, KAKENHI-PROJECT-20H00040, KAKENHI-PROJECT-19H03913, KAKENHI-PROJECT-18K10068, KAKENHI-PROJECT-21K17288, KAKENHI-PROJECT-23K20376, KAKENHI-PROJECT-23K21510, KAKENHI-PROJECT-17H00806
[Journal Article] A consistent likelihood-based variable selection method in normal multivariate linear regression2021
- Author(s)
  Oda Ryoya、Yanagihara Hirokazu
- Journal Title
  
  Smart Innovation, Systems and Technologies
  
  Volume: 238 Pages: 391-401
- DOI
  10.1007/978-981-16-2765-1_33
- ISBN
  9789811627644, 9789811627651
- Peer Reviewed / Open Access
- Data Source
  KAKENHI-PROJECT-18K03415, KAKENHI-PROJECT-20K14363, KAKENHI-PROJECT-23K20376
[Journal Article] Coordinate descent algorithm for normal-likelihood based group Lasso in multivariate linear regression2021
- Author(s)
  Yanagihara Hirokazu, Oda Ryoya
- Journal Title
  
  Smart Innovation, Systems and Technologies
  
  Volume: -
- Peer Reviewed
- Data Source
  KAKENHI-PROJECT-23K20376
[Journal Article] A consistent likelihood-based variable selection method in normal multivariate linear regression2021
- Author(s)
  Oda Ryoya, Yanagihara Hirokazu
- Journal Title
  
  Smart Innovation, Systems and Technologies
  
  Volume: -
- Peer Reviewed
- Data Source
  KAKENHI-PROJECT-23K20376
[Journal Article] An l_2,0-norm constrained matrix optimization via extended discrete first-order algorithms2021
- Author(s)
  Oda Ryoya, Ohishi Mineaki, Suzuki Yuya, Yanagihara Hirokazu
- Journal Title
  
  Hiroshima Statistical Research Group Technical Report
  
  Volume: 08 Pages: 1-15
- Open Access
- Data Source
  KAKENHI-PROJECT-23K20376
[Journal Article] Coordinate descent algorithm for normal-likelihood-based group Lasso in multivariate linear regression2021
- Author(s)
  Yanagihara Hirokazu、Oda Ryoya
- Journal Title
  
  Smart Innovation, Systems and Technologies
  
  Volume: 238 Pages: 429-439
- DOI
  10.1007/978-981-16-2765-1_36
- ISBN
  9789811627644, 9789811627651
- Peer Reviewed / Open Access
- Data Source
  KAKENHI-PROJECT-18K03415, KAKENHI-PROJECT-20K14363, KAKENHI-PROJECT-23K20376
[Journal Article] Coordinate descent algorithm for normal-likelihood based group Lasso in multivariate linear regression.2021
- Author(s)
  Hirokazu Yanagihara, Ryoya Oda
- Journal Title
  
  Smart Innovation, Systems and Technologies (KES-IDT-21)
  
  Volume: in press
- Peer Reviewed
- Data Source
  KAKENHI-PROJECT-20K14363
[Journal Article] A consistent likelihood-based variable selection method in normal multivariate linear regression.2021
- Author(s)
  Ryoya Oda, Hirokazu Yanagihara
- Journal Title
  
  Smart Innovation, Systems and Technologies (KES-IDT-21)
  
  Volume: in press
- Peer Reviewed
- Data Source
  KAKENHI-PROJECT-20K14363
[Journal Article] On model selection consistency using a kick-one-out method for selecting response variables in high-dimensional multivariate linear regression2021
- Author(s)
  Oda Ryoya, Yanagihara Hirokazu, Fujikoshi Yasunori
- Journal Title
  
  Hiroshima Statistical Research Group Technical Report
  
  Volume: 07 Pages: 1-15
- Open Access
- Data Source
  KAKENHI-PROJECT-23K20376
[Journal Article] An l_2,0-norm constrained matrix optimization via extended discrete first-order algorithms2021
- Author(s)
  Oda Ryoya, Ohishi Mineaki, Suzuki Yuya, Yanagihara Hirokazu
- Journal Title
  
  Hiroshima Statistical Research Group, Technical Report
  
  Volume: 21-08 Pages: 1-15
- Data Source
  KAKENHI-PROJECT-20K14363
[Journal Article] On model selection consistency using a kick-one-out method for selecting response variables in high-dimensional multivariate linear regression2021
- Author(s)
  Oda Ryoya, Yanagihara Hirokazu,Fujikoshi Yasunori
- Journal Title
  
  Hiroshima Statistical Research Group, Technical Report
  
  Volume: 21-07 Pages: 1-15
- Data Source
  KAKENHI-PROJECT-20K14363
[Journal Article] Growth Curve Model with Bilinear Random Coefficients2020
- Author(s)
  Shinpei Imori, Dietrich von Rosen, Ryoya Oda
- Journal Title
  
  Sankhya A
  
  Volume: in press Issue: 2 Pages: 1-32
- DOI
  10.1007/s13171-020-00204-5
- Peer Reviewed / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-20K14363, KAKENHI-PROJECT-17K12650, KAKENHI-PROJECT-23K20376
[Journal Article] Consistent variable selection criteria in multivariate linear regression even when dimension exceeds sample size2020
- Author(s)
  Oda Ryoya
- Journal Title
  
  Hiroshima Mathematical Journal
  
  Volume: 50 Issue: 3 Pages: 339-374
- DOI
  10.32917/hmj/1607396493
- Peer Reviewed / Open Access
- Data Source
  KAKENHI-PROJECT-20K14363, KAKENHI-PROJECT-23K20376
[Presentation] 大標本高次元における多変量線形回帰モデルでのKOO法に基づく変数選択の一致性2025
- Author(s)
  小田凌也
- Organizer
  日本数学会 2025年度年会
- Invited
- Data Source
  KAKENHI-PROJECT-24KK0202
[Presentation] Lifetables by area-based socio economic position to estimate inequalities in net survival of cancer in Japan2025
- Author(s)
  Akari Tsuchimoto, Keisuke Fukui, Aoi Kataoka, Yuri Ito, Tomoki Nakaya, Ryoya Oda, Hirofumi Wakaki
- Organizer
  International Conference on Health Policy Statistics
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-23K20376
[Presentation] 多変量線形回帰モデルにおけるサンプル外予測に対する予測平均２乗誤差の不偏推定量2025
- Author(s)
  小田凌也
- Organizer
  日本応用数理学会
- Data Source
  KAKENHI-PROJECT-23K20376
[Presentation] 多変量線形回帰モデルにおけるサンプル外予測に対する予測平均２乗誤差の不偏推定量2025
- Author(s)
  小田凌也
- Organizer
  日本応用数理学会第21回研究部会連合発表会
- Data Source
  KAKENHI-PROJECT-24KK0202
[Presentation] 大標本高次元における多変量線形回帰モデルでのKOO法に基づく変数選択の一致性2025
- Author(s)
  小田凌也
- Organizer
  日本数学会
- Invited
- Data Source
  KAKENHI-PROJECT-23K20376
[Presentation] 多変量線形回帰モデルにおける out-of-sample に対する Cp 規準2024
- Author(s)
  小田凌也
- Organizer
  統計関連学会連合大会
- Data Source
  KAKENHI-PROJECT-23K20376
[Presentation] Asymptotic loss efficiency of a model selection criterion in a high-dimensional GMANOVA model.2024
- Author(s)
  Ryoya Oda
- Organizer
  統計数理研究所共同利用 2023 年度重点型研究研究集会「高次元データ解析・スパース推定法・モデル選択法の開発と融合」
- Data Source
  KAKENHI-PROJECT-20K14363
[Presentation] Comparison of generalized ridge regression with non-negative ridge parameters and allowance of negative ridge parameters2024
- Author(s)
  小野真彦、栁原宏和、小田凌也、大石峰暉
- Organizer
  統計関連学会連合大会
- Data Source
  KAKENHI-PROJECT-23K20376
[Presentation] Network Lassoのための最適化法の比較2024
- Author(s)
  桐島功希、大石峰暉、小田凌也、栁原宏和
- Organizer
  統計関連学会連合大会
- Data Source
  KAKENHI-PROJECT-23K20376
[Presentation] GMANOVAモデルとモデル選択規準の高次元漸近性質.2024
- Author(s)
  小田凌也
- Organizer
  岡山統計研究会　第182回研究会（学生セッション）全体レクチャー
- Data Source
  KAKENHI-PROJECT-20K14363
[Presentation] 小学校家庭科担当教員の授業場面における危険回避意識の検討2024
- Author(s)
  伊藤優、小田凌也
- Organizer
  日本家政学会中国・四国支部大会
- Data Source
  KAKENHI-PROJECT-23K20376
[Presentation] 多変量線形回帰モデルにおける out-of-sample に対する Cp 規準2024
- Author(s)
  小田凌也
- Organizer
  2024年度統計関連学会連合大会
- Data Source
  KAKENHI-PROJECT-24KK0202
[Presentation] 統計的仮説検定法による異同識別のためのデータ収集法の検討2024
- Author(s)
  板宮裕実、小田凌也、栁原宏和、笠松正昭、柘浩一郎
- Organizer
  日本法科学技術学会
- Data Source
  KAKENHI-PROJECT-23K20376
[Presentation] 多変量モデルにおける複合型高次元漸近理論を用いたモデル選択規準の漸近損失有効性2023
- Author(s)
  小田凌也
- Organizer
  多変量統計学・統計的モデル選択の新展開
- Data Source
  KAKENHI-PROJECT-20K14363
[Presentation] Kick-one-out-based variable selection method using ridge-type Cp criterion in high-dimensional multi-response linear regression models.2023
- Author(s)
  Ryoya Oda
- Organizer
  15th International KES Conference, IDT-23 (Invited Session: Recent Development of Multivariate Analysis and Model Selection)
- Invited / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-20K14363
[Presentation] サンプル間に相関をもつ場合の２標本検定2023
- Author(s)
  小田凌也, 栁原宏和
- Organizer
  統計関連学会連合大会
- Data Source
  KAKENHI-PROJECT-23K20376
[Presentation] 説明変数の個数が標本数を超える場合での一般化リッジ回帰におけるリッジパラメータ最適化法の比較2023
- Author(s)
  桐島功希, 大石峰暉, 小田凌也, 栁原宏和
- Organizer
  統計関連学会連合大会
- Data Source
  KAKENHI-PROJECT-23K20376
[Presentation] Asymptotic loss efficiency of a model selection criterion in a high-dimensional GMANOVA model2023
- Author(s)
  Ryoya Oda
- Organizer
  統計数理研究所共同利用 2023 年度重点型研究研究集会「高次元データ解析・スパース推定法・モデル選択法の開発と融合」
- Data Source
  KAKENHI-PROJECT-23K20376
[Presentation] GMANOVAモデルとモデル選択規準の高次元漸近性質2023
- Author(s)
  小田凌也
- Organizer
  岡山統計研究会第182回研究会（学生セッション）全体レクチャー
- Data Source
  KAKENHI-PROJECT-23K20376
[Presentation] Kick-one-out-based variable selection method using ridge-type Cp criterion in high-dimensional multi-response linear regression models2023
- Author(s)
  Ryoya Oda
- Organizer
  The 15th KES International Conference on Intelligent Decision Technologies
- Invited / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-23K20376
[Presentation] 多変量モデルにおける複合型高次元漸近理論を用いたモデル選択規準の漸近損失有効性2023
- Author(s)
  小田凌也
- Organizer
  多変量統計学・統計的モデル選択の新展開
- Data Source
  KAKENHI-PROJECT-23K20376
[Presentation] 高次元 GMANOVA モデルにおける予測のための一般化 Cp 規準の漸近性質2022
- Author(s)
  小田凌也
- Organizer
  2022年度統計関連学会連合大会
- Data Source
  KAKENHI-PROJECT-23K20376
[Presentation] Condition of GIC to the model minimizing KL-loss function in high-dimensional multivariate linear regression2022
- Author(s)
  小田凌也
- Organizer
  5th International Conference on Econometrics and Statistics (EcoSta 2022)
- Invited / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-20K14363
[Presentation] 高次元 GMANOVA モデルにおける予測のための一般化 Cp 規準の漸近性質2022
- Author(s)
  小田凌也
- Organizer
  2022年度統計関連学会連合大会
- Data Source
  KAKENHI-PROJECT-20K14363
[Presentation] Condition of GIC to the model minimizing KL-loss function in high-dimensional multivariate linear regression2022
- Author(s)
  小田凌也
- Organizer
  5th International Conference on Econometrics and Statistics (EcoSta 2022)
- Invited / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-23K20376
[Presentation] Coordinate descent algorithm for normal-likelihood-based group Lasso in multivariate linear regression2021
- Author(s)
  Yanagihara Hirokazu, Oda Ryoya
- Organizer
  The 13th KES International Conference on Intelligent Decision Technologies
- Invited / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-20K14363
[Presentation] Asymptotically KL-loss efficiency of GIC in normal multivariate linear regression models under the high-dimensional asymptotic framework2021
- Author(s)
  Oda Ryoya, Yanagihara Hirokazu
- Organizer
  2021年度統計関連学会連合大会
- Data Source
  KAKENHI-PROJECT-20K14363
[Presentation] 高次元多変量線形回帰における KL ロス最小化に基づくモデルの一致性2021
- Author(s)
  Oda Ryoya, Yanagihara Hirokazu
- Organizer
  2021年度広島大学金曜セミナー
- Data Source
  KAKENHI-PROJECT-20K14363
[Presentation] A consistent likelihood-based variable selection method in normal multivariate linear regression2021
- Author(s)
  Oda Ryoya, Yanagihara Hirokazu
- Organizer
  The 13th KES International Conference on Intelligent Decision Technologies
- Invited / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-23K20376
[Presentation] A consistent variable selection method with GIC in multivariate linear regression even when dimensions are large2021
- Author(s)
  Oda Ryoya, Yanagihara Hirokazu
- Organizer
  4th International Conference on Econometrics and Statistics (EcoSta 2021)
- Invited / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-20K14363
[Presentation] A consistent likelihood-based variable selection method in normal multivariate linear regression2021
- Author(s)
  Oda Ryoya, Yanagihara Hirokazu
- Organizer
  The 13th KES International Conference on Intelligent Decision Technologies
- Invited / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-20K14363
[Presentation] Coordinate descent algorithm for normal-likelihood-based group Lasso in multivariate linear regression2021
- Author(s)
  Yanagihara Hirokazu, Oda Ryoya
- Organizer
  The 13th KES International Conference on Intelligent Decision Technologies
- Invited / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-23K20376
[Presentation] Asymptotically KL-loss efficiency of GIC in normal multivariate linear regression models under the high-dimensional asymptotic framework2021
- Author(s)
  Oda Ryoya, Yanagihara Hirokazu
- Organizer
  2021年度統計関連学会連合大会
- Data Source
  KAKENHI-PROJECT-23K20376
[Presentation] A consistent variable selection method with GIC in multivariate linear regression even when dimensions are large2021
- Author(s)
  Oda Ryoya, Yanagihara Hirokazu
- Organizer
  4th International Conference on Econometrics and Statistics
- Invited / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-23K20376
[Presentation] 多変量線形回帰における正規尤度に基づく簡便なモデル選択法をその一致性の評価について2020
- Author(s)
  小田凌也
- Organizer
  広島大学金曜セミナー
- Data Source
  KAKENHI-PROJECT-20K14363

1. TSUGE KOICHIRO (90356204)

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2. 吉川ひとみ (20392269)

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3. 組坂健人 (40801577)

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4. Yamamura Mariko (60525343)

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5. 杉田律子 (60356201)

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6. 板宮裕実 (40645488)

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7. 宮口一 (10370884)

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8. 柳原宏和 (70342615)

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9. 大石峰暉 (00878291)

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10. 福井敬祐 (50760922)

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11. 坂田律 (60258423)

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12. 中村隆太 (40960802)

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13. 横井美有希 (90826869)

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14. 大上博史 (70711307)

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15. 吉田光由 (50284211)

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16. 吉本敦 (10264350)

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17. 加茂憲一 (10404740)

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18. 木島真志 (10466542)

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19. 冨田哲治 (60346533)

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20. 柳下翔太郎 (91000561)

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21. ITO Yuri

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22. NAKAYAMA Tomio

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23. 中谷友樹

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24. 片野田耕太

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Oda Ryoya 小田 凌也

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サンプル内外のどちらの予測にも対応した多変量回帰モデルにおける変数選択法の開発Principal Investigator

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Development of a Spatio-Temporal Risk Estimation Model for Exposure to the Atomic Bombings of Hiroshima and Nagasaki Using Fused-Lasso

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Study on estimation of land use and vegetation from soil samples by organic matter analysis and plant DNA analysis

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Elucidating the mechanism of cognitive decline caused by tooth loss through metabolome analysis

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Optimal Pine Wilt Disease Prevention Policy in South Korea through Sustainable Forest Ecosystem Management by Discrete Optimization

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Development of consistent variable selection criteria with high-dimensional response and explanatory variables using forward-backward stepwise selection methodPrincipal Investigator

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Presumption of soil collecting point using geoscientific, chemical and biological method.

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[Journal Article] Ciliochoroidal Detachment After Intrascleral Lens Fixation Using the Yamane Technique2024

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[Journal Article] A Clinical Trial Evaluating the Efficacy of Deep Learning-Based Facial Recognition for Patient Identification in Diverse Hospital Settings2024

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[Journal Article] On model selection consistency using a kick-one-out method for selecting response variables in high-dimensional multivariate linear regression2024

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[Journal Article] Forensic discrimination of fiber microspectrophotometry data by resampling and repeating two-sample hypothesis testing2024

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[Journal Article] Impact of cancer and other causes of death on mortality of cancer patients: A study based on Japanese population‐based registry data2023

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[Journal Article] An l_2,0-norm constrained matrix optimization via extended discrete first-order algorithms2023

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[Journal Article] Kick-one-out-based variable selection method using ridge-type Cp criterion in high-dimensional multi-response linear regression models2023

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[Journal Article] An l_2,0-norm constrained matrix optimization via extended discrete first-order algorithms2023

Oda Ryoya 小田凌也