36 citations · 128 across the 18 of their papers we have counts for
4 papers · 1 filter
A Bayesian estimation approach to analyze non-Gaussian data-generating processes with latent classes
Naoki Tanaka, Shohei Shimizu, Takashi Washio
A large amount of observational data has been accumulated in various fields in recent times, and there is a growing need to estimate the generating processes of these data. A linea…
Causal Discovery in a Binary Exclusive-or Skew Acyclic Model: BExSAM
Takanori Inazumi, Takashi Washio, Shohei Shimizu +3
Discovering causal relations among observed variables in a given data set is a major objective in studies of statistics and artificial intelligence. Recently, some techniques to di…
Identifiability of an Integer Modular Acyclic Additive Noise Model and its Causal Structure Discovery
Joe Suzuki, Takanori Inazumi, Takashi Washio +1
The notion of causality is used in many situations dealing with uncertainty. We consider the problem whether causality can be identified given data set generated by discrete random…
Anomaly detection in reconstructed quantum states using a machine-learning technique
Satoshi Hara, Takafumi Ono, Ryo Okamoto +2
The accurate detection of small deviations in given density matrices is important for quantum information processing. Here we propose a new method based on the concept of data mini…