78 citations · 482 across the 68 of their papers we have counts for
3 papers · 1 filter
A framework for fitting sparse data
Reza Hosseini, Akimichi Takemura, Kiros Berhane
This paper develops a framework for fitting functions with domains in the Euclidean space, when data are sparse but a slow variation allows for a useful fit. We measure the variati…
A Markov Basis for Conditional Test of Common Diagonal Effect in Quasi-Independence Model for Square Contingency Tables
Hisayuki Hara, Akimichi Takemura, Ruriko Yoshida
In two-way contingency tables we sometimes find that frequencies along the diagonal cells are relatively larger(or smaller) compared to off-diagonal cells, particularly in square t…
Markov basis for design of experiments with three-level factors
Satoshi Aoki, Akimichi Takemura
We consider Markov basis arising from fractional factorial designs with three-level factors. Once we have a Markov basis, values for various conditional tests are estimated by…