4 papers
DC Algorithm for Estimation of Sparse Gaussian Graphical Models
Tomokaze Shiratori, Yuichi Takano
Sparse estimation for Gaussian graphical models is a crucial technique for making the relationships among numerous observed variables more interpretable and quantifiable. Various m…
Robust personalized pricing under uncertainty of purchase probabilities
Shunnosuke Ikeda, Naoki Nishimura, Noriyoshi Sukegawa +1
This paper is concerned with personalized pricing models aimed at maximizing the expected revenues or profits for a single item. While it is essential for personalized pricing to p…
New Solutions Based on the Generalized Eigenvalue Problem for the Data Collaboration Analysis
Yuta Kawakami, Yuichi Takano, Akira Imakura
In recent years, the accumulation of data across various institutions has garnered attention for the technology of confidential data analysis, which improves analytical accuracy by…
A Latent-class Model for Estimating Product-choice Probabilities from Clickstream Data
Naoki Nishimura, Noriyoshi Sukegawa, Yuichi Takano +1
This paper analyzes customer product-choice behavior based on the recency and frequency of each customer's page views on e-commerce sites. Recently, we devised an optimization mode…