17 citations · 49 across the 7 of their papers we have counts for
7 papers
Stochastic Nonparametric Estimation of the Density-Flow Curve
Iaroslav Kriuchkov, Timo Kuosmanen
Recent advances in operations research and machine learning have revived interest in solving complex real-world, large-size traffic control problems. With the increasing availabili…
Convex Support Vector Regression
Zhiqiang Liao, Sheng Dai, Timo Kuosmanen
Nonparametric regression subject to convexity or concavity constraints is increasingly popular in economics, finance, operations research, machine learning, and statistics. However…
Partial frontiers are not quantiles
Sheng Dai, Timo Kuosmanen, Xun Zhou
Quantile regression and partial frontier are two distinct approaches to nonparametric quantile frontier estimation. In this article, we demonstrate that partial frontiers are not q…
Non-crossing convex quantile regression
Sheng Dai, Timo Kuosmanen, Xun Zhou
Quantile crossing is a common phenomenon in shape constrained nonparametric quantile regression. A recent study by Wang et al. (2014) has proposed to address this problem by imposi…
pyStoNED: A Python Package for Convex Regression and Frontier Estimation
Sheng Dai, Yu-Hsueh Fang, Chia-Yen Lee +1
Shape-constrained nonparametric regression is a growing area in econometrics, statistics, operations research, machine learning and related fields. In the field of productivity and…
Shape constrained kernel-weighted least squares: Application to production function estimation for Chilean manufacturing industries
Daisuke Yagi, Yining Chen, Andrew L. Johnson +1
In this paper we examine a novel way of imposing shape constraints on a local polynomial kernel estimator. The proposed approach is referred to as Shape Constrained Kernel-weighted…
A Multi-objective Exploratory Procedure for Regression Model Selection
Ankur Sinha, Pekka Malo, Timo Kuosmanen
Variable selection is recognized as one of the most critical steps in statistical modeling. The problems encountered in engineering and social sciences are commonly characterized b…