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researcher

K. Takanashi

14 papers hereh-index 334 citations22 works total

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

author position
  • sole author1
  • first author3
  • middle author6
  • last author4

Across the 14 of 14 papers where every author was matched, so the position is known.

fields
  • stat.ME7
  • math.ST4
  • econ.EM2
  • stat.ML1
same name
  • K. Takanashi — 34 papers, h 47
  • K. Takanashi — 5 papers, h 7
  • K. Takanashi — 4 papers, h 7
  • K. Takanashi — 3 papers, h 5

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
20172026
most citedBayesian Causal Synthesis for Meta-Inference on Heterogeneous Treatment Effects

3 citations · 3 across the 14 of their papers we have counts for

collaborators
Showing math.STShow all

4 papers · 1 filter

math.ST2026

An Entropy-Energy Identity for Predictive Kullback-Leibler Regret in Infinitely Divisible Location Models

Kōsaku Takanashi, Kenichiro McAlinn

We consider predictive density estimation under logarithmic score for d-dimensional infinitely divisible location models. Taking the formal Bayes predictive density under the Leb…

math.ST2023

Inadmissibility and Transience

Kosaku Takanashi, Kenichiro McAlinn

We discuss the relation between the statistical question of inadmissibility and the probabilistic question of transience. Brown (1971) proved the mathematical link between the admi…

math.ST2019

Equivariant online predictions of non-stationary time series

Kōsaku Takanashi, Kenichiro McAlinn

We discuss the finite sample theoretical properties of online predictions in non-stationary time series under model misspecification. To analyze the theoretical predictive properti…

math.ST2017

Local Asymptotic Normality of Infinite-Dimensional Concave Extended Linear Models

Kosaku Takanashi

We study local asymptotic normality of M-estimates of convex minimization in an infinite dimensional parameter space. The objective function of M-estimates is not necessary differe…

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