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Author: Daisuke Kurisu

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Geodesic causal inference

Daisuke Kurisu, Hans-Georg Mueller, Taisuke Otsu and Yidong Zhou

Adjusting for confounding and imbalance when establishing statistical relationships is an increasingly important task, and causal inference methods have emerged as the most popular tool to achieve this. Causal inference ...Read more...

1 July 2024

Econometrics Paper

Empirical likelihood for manifolds

Daisuke Kurisu and Taisuke Otsu

There has been growing interest in statistical analysis on random objects taking values in a non-Euclidean metric space. One important class of such objects consists of data on manifolds. This article is concerned with i...Read more...

6 February 2024

Econometrics Paper

Nonparametric causal inference with functional covariates

Daisuke Kurisu, Taisuke Otsu and Mengshan Xu

Functional data and their analysis have become increasingly popular in various fields of data sciences. This paper considers estimation and inference of the average treatment effect under unconfoundedness when the covari...Read more...

25 October 2023

Econometrics Paper

Model averaging for global Fréchet regression

Daisuke Kurisu and Taisuke Otsu

Petersen and Müller (2019) generalized the notion of regression analysis to non-Euclidean response objects. Meanwhile, in the conventional regression analysis, model averaging has long history and is widely applied in st...Read more...

21 July 2023

Econometrics Paper

Nonparametric inference for extremal conditional quantiles

Daisuke Kurisu and Taisuke Otsu

This paper studies asymptotic properties of the local linear quantile estimator under the extremal order quantile asymptotics, and develops a practical inference method for conditional quantiles in extreme tail areas. By...Read more...

14 September 2021

Econometrics Paper

On linearization of nonparametric deconvolution estimators for repeated measurements model

Daisuke Kurisu and Taisuke Otsu

By utilizing intermediate Gaussian approximations, this paper establishes asymptotic linear representations of nonparametric deconvolution estimators for the classical measurement error model with repeated measurements. ...Read more...

19 July 2021

Econometrics Paper

On the uniform convergence of deconvolution estimators from repeated measurements

Daisuke Kurisu and Taisuke Otsu

This paper studies the uniform convergence rates of Li and Vuong's (1998) nonparametric deconvolution estimator and its regularized version by Comte and Kappus (2015) for the classical measurement error model, where repe...Read more...

22 July 2019