6 citations · 8 across the 3 of their papers we have counts for
3 papers
math.ST2018★ 6 cited
Quantile regression approach to conditional mode estimation
Hirofumi Ota, Kengo Kato, Satoshi Hara
In this paper, we consider estimation of the conditional mode of an outcome variable given regressors. To this end, we propose and analyze a computationally scalable estimator deri…
stat.ML2018★ 1 cited
Post Selection Inference with Incomplete Maximum Mean Discrepancy Estimator
Makoto Yamada, Denny Wu, Yao-Hung Hubert Tsai +3
Measuring divergence between two distributions is essential in machine learning and statistics and has various applications including binary classification, change point detection,…
stat.ML2017★ 1 cited
On Estimation of Conditional Modes Using Multiple Quantile Regressions
Hirofumi Ohta, Satoshi Hara
We propose an estimation method for the conditional mode when the conditioning variable is high-dimensional. In the proposed method, we first estimate the conditional density by so…