Sato Toshikuni 佐藤平国

Researcher Number	10878804
Other IDs
Affiliation (Current)	2023: 明治大学, 商学部, 専任講師
Affiliation (based on the past Project Information) *help	2022: 明治大学, 商学部, 専任講師 2020 – 2021: 石巻専修大学, 経営学部, 助教
Review Section/Research Field	Principal Investigator Basic Section 07090:Commerce-related / 0107:Economics, business administration, and related fields
Keywords	Principal Investigator 機械学習 / 潜在変数モデル / 識別性 / 消費者行動研究 / 罰則化法 / 心理測定尺度 / 識別可能性 / ベイズ推定 / テキスト分析 / 消費者行動 … More / 消費者心理 / マーケティング尺度 / ニューラルネットワーク / 潜在的ディリクレ配分法 Less

Research Projects
(2 results)
Research Products
(9 results)

罰則付き推定による潜在変数モデルの識別と消費者行動分析Principal Investigator
- Principal Investigator
  
  佐藤平国
- Project Period (FY)
  2022 – 2025
- Research Category
  
  Grant-in-Aid for Early-Career Scientists
- Review Section
  
  Basic Section 07090:Commerce-related
- Research Institution
  Meiji University
Investigating the identifiability of machine learning and its application to consumer behavior analysisPrincipal Investigator
- Principal Investigator
  
  Sato Toshikuni
- Project Period (FY)
  2020 – 2021
- Research Category
  
  Grant-in-Aid for Research Activity Start-up
- Review Section
  
  0107:Economics, business administration, and related fields
- Research Institution
  Ishinomaki Senshu University

All 2022 2021 2020

All Journal Article Presentation

[Journal Article] A Penalized Neural Network Model for Predicting Unobserved Scores of Construct Indicators and Reproducing Latent Scores of the Theoretical Constructs by Using Text Information2022
- Author(s)
  Sato Toshikuni
- Journal Title
  
  SSRN Electronic Journal
  
  Volume: - Pages: 1-10
- DOI
  10.2139/ssrn.4058970
- Open Access
- Data Source
  KAKENHI-PROJECT-20K22125
[Journal Article] Penalizing Neural Network and Autoencoder for the Analysis of Marketing Measurement Scales in Service Marketing Applications2021
- Author(s)
  Toshikuni Sato
- Journal Title
  
  AI and Analytics for Smart Cities and Service Systems. ICSS 2021. Lecture Notes in Operations Research
  
  Volume: - Pages: 31-42
- DOI
  10.1007/978-3-030-90275-9_3
- ISBN
  9783030902742, 9783030902759
- Peer Reviewed
- Data Source
  KAKENHI-PROJECT-20K22125
[Journal Article] Bayesian Estimation for Identifiable Topic Models with Latent Dirichlet Allocation2020
- Author(s)
  Sato Toshikuni
- Journal Title
  
  SSRN Electronic Journal
  
  Volume: - Pages: 1-24
- DOI
  10.2139/ssrn.3721769
- Open Access
- Data Source
  KAKENHI-PROJECT-20K22125
[Presentation] ベイズモデルの識別性の再考とマーケティング尺度の応用可能性2021
- Author(s)
  佐藤平国
- Organizer
  ID-POSデータのマーケティングの活用研究部会
- Data Source
  KAKENHI-PROJECT-20K22125
[Presentation] Identification of Latent Dirichlet Allocation for Theoretical Construct Measurements with Marketing Scales2021
- Author(s)
  Toshikuni Sato
- Organizer
  2021 Frontiers in Service Conference
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-20K22125
[Presentation] マーケティング尺度を用いた測定モデルに対する罰則化法－消費者心理の識別と予測への応用－2021
- Author(s)
  佐藤平国
- Organizer
  第63回消費者行動研究コンファレンス
- Data Source
  KAKENHI-PROJECT-20K22125
[Presentation] Penalizing Neural Network and Autoencoder for the Analysis of Marketing Measurement Scales in Service Marketing Applications2021
- Author(s)
  Toshikuni Sato
- Organizer
  2021 INFORMS Virtual Conference on Service Science
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-20K22125
[Presentation] 消費者行動研究のための識別可能なLDAトピックモデル2020
- Author(s)
  佐藤平国
- Organizer
  第61回消費者行動研究コンファレンス（消費者行動研究学会）
- Data Source
  KAKENHI-PROJECT-20K22125
[Presentation] 識別可能なLDAトピックモデルのベイズ推手法2020
- Author(s)
  佐藤平国
- Organizer
  2020年度統計関連学会連合大会
- Data Source
  KAKENHI-PROJECT-20K22125

Sato Toshikuni 佐藤 平国

Research Projects

Research Products

罰則付き推定による潜在変数モデルの識別と消費者行動分析Principal Investigator

Principal Investigator

Project Period (FY)

Research Category

Review Section

Research Institution

Investigating the identifiability of machine learning and its application to consumer behavior analysisPrincipal Investigator

Principal Investigator

Project Period (FY)

Research Category

Review Section

Research Institution

[Journal Article] A Penalized Neural Network Model for Predicting Unobserved Scores of Construct Indicators and Reproducing Latent Scores of the Theoretical Constructs by Using Text Information2022

Author(s)

Journal Title

DOI

Data Source

[Journal Article] Penalizing Neural Network and Autoencoder for the Analysis of Marketing Measurement Scales in Service Marketing Applications2021

Author(s)

Journal Title

DOI

ISBN

Data Source

[Journal Article] Bayesian Estimation for Identifiable Topic Models with Latent Dirichlet Allocation2020

Author(s)

Journal Title

DOI

Data Source

[Presentation] ベイズモデルの識別性の再考とマーケティング尺度の応用可能性2021

Author(s)

Organizer

Data Source

[Presentation] Identification of Latent Dirichlet Allocation for Theoretical Construct Measurements with Marketing Scales2021

Author(s)

Organizer

Data Source

[Presentation] マーケティング尺度を用いた測定モデルに対する罰則化法 －消費者心理の識別と予測への応用－2021

Author(s)

Organizer

Data Source

[Presentation] Penalizing Neural Network and Autoencoder for the Analysis of Marketing Measurement Scales in Service Marketing Applications2021

Author(s)

Organizer

Data Source

[Presentation] 消費者行動研究のための識別可能なLDAトピックモデル2020

Author(s)

Organizer

Data Source

[Presentation] 識別可能なLDAトピックモデルのベイズ推手法2020

Author(s)

Organizer

Data Source

Sato Toshikuni 佐藤平国

[Presentation] マーケティング尺度を用いた測定モデルに対する罰則化法－消費者心理の識別と予測への応用－2021