-
作者：Sen, Bodhisattva
作者单位：Columbia University
-
作者：Su, Chang; Zhang, Jingfei; Zhao, Hongyu
作者单位：Emory University; Yale University; Emory University
摘要：Inferring and characterizing gene co-expression networks has led to important insights on the molecular mechanisms of complex diseases. Most co-expression analyses to date have been performed on gene expression data collected from bulk tissues with different cell type compositions across samples. As a result, the co-expression estimates only offer an aggregated view of the underlying gene regulations and can be confounded by heterogeneity in cell type compositions, failing to reveal gene coord...
-
作者：Chen, Zhehui; Mak, Simon; Wu, C. F. Jeff
作者单位：University System of Georgia; Georgia Institute of Technology; Duke University
摘要：The Expected Improvement (EI) method, proposed by Jones, Schonlau, andWelch, is a widely used Bayesian optimization method, which makes use of a fitted Gaussian process model for efficient black-box optimization. However, one key drawback of EI is that it is overly greedy in exploiting the fitted Gaussian process model for optimization, which results in suboptimal solutions even with large sample sizes. To address this, we propose a new hierarchical EI (HEI) framework, which makes use of a hie...
-
作者：Yang, Ying; Yao, Fang; Zhao, Peng
作者单位：Chinese Academy of Sciences; Academy of Mathematics & System Sciences, CAS; Peking University; Jiangsu Normal University; Jiangsu Normal University
摘要：We propose an online smoothing backfitting method for generalized additive models coupled with local linear estimation. The idea can be extended to general nonlinear optimization problems. The strategy is to use an appropriate-order expansion to approximate the nonlinear equations and store the coefficients as sufficient statistics which can be updated in an online manner by the dynamic candidate bandwidth method. We investigate the statistical and algorithmic convergences of the proposed meth...
-
作者：Berg, Arthur; Wu, Rongling
作者单位：Pennsylvania Commonwealth System of Higher Education (PCSHE); Pennsylvania State University; Penn State Health
-
作者：Chu, Chi Wing; Sit, Tony
作者单位：City University of Hong Kong; Chinese University of Hong Kong
摘要：Conventionally, censored quantile regression stipulates a specific, pointwise conditional quantile of the survival time given covariates. Despite its model flexibility and straightforward interpretation, the pointwise formulation oftentimes yields rather unstable estimates across neighboring quantile levels with large variances. In view of this phenomenon, we propose a new class of quantile-based regression models with time-dependent covariates for censored data. The models proposed aim to cap...
-
作者：Natarajan, Abhinav; De Iorio, Maria; Heinecke, Andreas; Mayer, Emanuel; Glenn, Simon
作者单位：University of Oxford; National University of Singapore; University of London; University College London; Agency for Science Technology & Research (A*STAR); Yale NUS College; University of Oxford; University of Oxford
摘要：Clustering in high-dimensions poses many statistical challenges. While traditional distance-based clustering methods are computationally feasible, they lack probabilistic interpretation and rely on heuristics for estimation of the number of clusters. On the other hand, probabilistic model-based clustering techniques often fail to scale and devising algorithms that are able to effectively explore the posterior space is an open problem. Based on recent developments in Bayesian distance-based clu...
-
作者：Halder, Aritra; Banerjee, Sudipto; Dey, Dipak K.
作者单位：Drexel University; University of California System; University of California Los Angeles; University of Connecticut
摘要：Spatial process models are widely used for modeling point-referenced variables arising from diverse scientific domains. Analyzing the resulting random surface provides deeper insights into the nature of latent dependence within the studied response. We develop Bayesian modeling and inference for rapid changes on the response surface to assess directional curvature along a given trajectory. Such trajectories or curves of rapid change, often referred to as wombling boundaries, occur in geographi...
-
作者：Shi, Peng; Zhang, Wei; Shi, Kun
作者单位：University of Wisconsin System; University of Wisconsin Madison; Northern Illinois University
摘要：In property insurance claims triage, insurers often use static information to assess the severity of a claim and to identify the subsequent actions. We hypothesize that the pattern of weather conditions throughout the course of a loss event is predictive of the insured losses, and hence appropriate use of weather dynamics improves the operation of insurers' claim management. To test this hypothesis, we propose a deep learning method to incorporate dynamic weather information in the predictive ...
-
作者：Qian, Wei; Ing, Ching-Kang; Liu, Ji
作者单位：University of Delaware; National Tsing Hua University
摘要：This article studies an important sequential decision making problem known as the multi-armed stochastic bandit problem with covariates. Under a linear bandit framework with high-dimensional covariates, we propose a general multi-stage arm allocation algorithm that integrates both arm elimination and randomized assignment strategies. By employing a class of high-dimensional regression methods for coefficient estimation, the proposed algorithm is shown to have near optimal finite-time regret pe...
