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Akimichi Takemura

18 papers hereh-index 10362 citations29 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author1
  • middle author5
  • last author12

Across the 18 of 18 papers where every author was matched, so the position is known.

fields
  • math.ST12
  • math.PR2
  • math.CO1
  • q-fin.PR1
  • q-fin.TR1
  • stat.ME1
same name
  • Akimichi Takemura — 16 papers
  • Akimichi Takemura — 2 papers, h 2

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20062012
most citedMarkov chain Monte Carlo tests for designed experiments

27 citations · 106 across the 18 of their papers we have counts for

collaborators
Showing 2011 · math.STShow all

4 papers · 2 filters

math.ST2011

Running Markov chain without Markov basis

Hisayuki Hara, Satoshi Aoki, Akimichi Takemura

The methodology of Markov basis initiated by Diaconis and Sturmfels(1998) stimulated active research on Markov bases for more than ten years. It also motivated improvements of algo…

math.ST2011

Properties of semi-elementary imsets as sums of elementary imsets

Takuya Kashimura, Tomonari Sei, Akimichi Takemura +1

We study properties of semi-elementary imsets and elementary imsets introduced by Studeny (2005). The rules of the semi-graphoid axiom (decomposition, weak union and contraction) f…

math.ST2011★ 1 cited

Stochastic Bandit Based on Empirical Moments

Junya Honda, Akimichi Takemura

In the multiarmed bandit problem a gambler chooses an arm of a slot machine to pull considering a tradeoff between exploration and exploitation. We study the stochastic bandit prob…

math.ST2011

Conformal geometry of statistical manifold with application to sequential estimation

Masayuki Kumon, Akimichi Takemura, Kei Takeuchi

We present a geometrical method for analyzing sequential estimating procedures. It is based on the design principle of the second-order efficient sequential estimation provided in…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.