118 citations · 237 across the 17 of their papers we have counts for
17 papers
Alpha Mining and Enhancing via Warm Start Genetic Programming for Quantitative Investment
Weizhe Ren, Yichen Qin, Yang Li
Traditional genetic programming (GP) often struggles in stock alpha factor discovery due to its vast search space, overwhelming computational burden, and sporadic effective alphas.…
Adaptive Weighted Random Isolation (AWRI): a simple design to estimate causal effects under network interference
Changhao Shi, Haoyu Yang, Yichen Qin +1
Recently, causal inference under interference has gained increasing attention in the literature. In this paper, we focus on randomized designs for estimating the total treatment ef…
Assessing Estimation Uncertainty under Model Misspecification
Rong Li, Yichen Qin, Yang Li
Model misspecification is ubiquitous in data analysis because the data-generating process is often complex and mathematically intractable. Therefore, assessing estimation uncertain…
Irregular Hodge filtration of hypergeometric differential equations
Yichen Qin, Daxin Xu
Fedorov and Sabbah--Yu calculated the (irregular) Hodge numbers of hypergeometric connections. In this paper, we study the irregular Hodge filtrations on hypergeometric connections…
-functions of Kloosterman sheaves
Yichen Qin
In this article, we study a family of motives associated with the symmetric power of Kloosterman sheaves, as constructed by Fresán, Sabbah, and Yu. They demons…
Optimal integrating learning for split questionnaire design type data
Cunjie Lin, Jingfu Peng, Yichen Qin +2
In the era of data science, it is common to encounter data with different subsets of variables obtained for different cases. An example is the split questionnaire design (SQD), whi…
Testing for Treatment Effect in Covariate-Adaptive Randomized Clinical Trials with Generalized Linear Models and Omitted Covariates
Li Yang, Wei Ma, Yichen Qin +1
Concerns have been expressed over the validity of statistical inference under covariate-adaptive randomization despite the extensive use in clinical trials. In the literature, the…
LqRT: Robust Hypothesis Testing of Location Parameters using Lq-Likelihood-Ratio-Type Test in Python
Anton Alyakin, Yichen Qin, Carey E. Priebe
A t-test is considered a standard procedure for inference on population means and is widely used in scientific discovery. However, as a special case of a likelihood-ratio test, t-t…
Statistical Inference for Covariate-Adaptive Randomization Procedures
Wei Ma, Yichen Qin, Yang Li +1
Covariate-adaptive randomization (CAR) procedures are frequently used in comparative studies to increase the covariate balance across treatment groups. However, because randomizati…
Statistical inference on random dot product graphs: a survey
Avanti Athreya, Donniell E. Fishkind, Keith Levin +7
The random dot product graph (RDPG) is an independent-edge random graph that is analytically tractable and, simultaneously, either encompasses or can successfully approximate a wid…
Penalized Maximum Tangent Likelihood Estimation and Robust Variable Selection
Yichen Qin, Shaobo Li, Yang Li +1
We introduce a new class of mean regression estimators -- penalized maximum tangent likelihood estimation -- for high-dimensional regression estimation and variable selection. We f…
Semiparametric spectral modeling of the Drosophila connectome
Carey E. Priebe, Youngser Park, Minh Tang +8
We present semiparametric spectral modeling of the complete larval Drosophila mushroom body connectome. Motivated by a thorough exploratory data analysis of the network via Gaussia…
Variable Selection with Scalable Bootstrap in Generalized Linear Model for Massive Data
Zhibing He, Yichen Qin, Ben-Chang Shia +1
Bootstrap is commonly used as a tool for non-parametric statistical inference to estimate meaningful parameters in Variable Selection Models. However, for massive dataset that has…
Copula Modeling for Data with Ties
Yan Li, Yang Li, Yichen Qin +1
Copula modeling has gained much attention in many fields recently with the advantage of separating dependence structure from marginal distributions. In real data, however, serious…
Model Confidence Bounds for Variable Selection
Yang Li, Yuetian Luo, Davide Ferrari +2
In this article, we introduce the concept of model confidence bounds (MCB) for variable selection in the context of nested models. Similarly to the endpoints in the familiar confid…
Pairwise Sequential Randomization and Its Properties
Yichen Qin, Yang Li, Wei Ma +1
In comparative studies, such as in causal inference and clinical trials, balancing important covariates is often one of the most important concerns for both efficient and credible…
Robust Hypothesis Testing via Lq-Likelihood
Yichen Qin, Carey E. Priebe
This article introduces a robust hypothesis testing procedure: the Lq-likelihood-ratio-type test (LqRT). By deriving the asymptotic distribution of this test statistic, the authors…