A5068716388- Statistical Methods and Inference
- Sparse and Compressive Sensing Techniques
- Optical Network Technologies
- Blind Source Separation Techniques
- Random Matrices and Applications
- graph theory and CDMA systems
- Semiconductor Lasers and Optical Devices
- Advanced Photonic Communication Systems
- Advanced Photocatalysis Techniques
- Advanced Statistical Methods and Models
- Coding theory and cryptography
- Advanced Optical Network Technologies
- Advanced Bandit Algorithms Research
- Statistical and numerical algorithms
- Time Series Analysis and Forecasting
- Forecasting Techniques and Applications
- Bayesian Methods and Mixture Models
- Complex Systems and Time Series Analysis
- SARS-CoV-2 detection and testing
- Biosensors and Analytical Detection
- Cancer, Hypoxia, and Metabolism
- Advanced Control Systems Optimization
- Auction Theory and Applications
- Adipose Tissue and Metabolism
- Machine Learning and Algorithms
London School of Economics and Political Science
2020-2025
Sun Yat-sen Memorial Hospital
2021-2025
Sun Yat-sen University
2012-2025
Southeast University
2024-2025
Jiaxing University
2025
University College London
2000-2023
Royal Statistical Society
2022
University of Cambridge
2000-2022
European Foundation for the Study of Chronic Liver Failure
2021
Nanchang Hangkong University
2017-2020
Journal Article A useful variant of the Davis–Kahan theorem for statisticians Get access Y. Yu, Yu Statistical Laboratory, University Cambridge, Wilberforce Road, Cambridge CB3 0WB, U.K., y.yu@statslab.cam.ac.ukt.wang@statslab.cam.ac.ukr.samworth@statslab.cam.ac.uk Search other works by this author on: Oxford Academic Google Scholar T. Wang, Wang R. J. Samworth Biometrika, Volume 102, Issue 2, June 2015, Pages 315–323, https://doi.org/10.1093/biomet/asv008 Published: 28 April 2014 history...
Summary Change points are a very common feature of ‘big data’ that arrive in the form data stream. We study high dimensional time series which, at certain points, mean structure changes sparse subset co-ordinates. The challenge is to borrow strength across co-ordinates detect smaller than could be observed any individual component series. propose two-stage procedure called inspect for estimation change points: first, we argue good projection direction can obtained as leading left singular...
In recent years, sparse principal component analysis has emerged as an extremely popular dimension reduction technique for high-dimensional data. The theoretical challenge, in the simplest case, is to estimate leading eigenvector of a population covariance matrix under assumption that this sparse. An impressive range estimators have been proposed; some these are fast compute, while others known achieve minimax optimal rate over certain Gaussian or sub-Gaussian classes. paper, we show that,...
INSIGHT is a two-stage COVID-19 test, which combines point-of-care diagnosis with NGS, aiming to achieve population-scale testing.
We study the least squares regression function estimator over class of real-valued functions on $[0,1]^{d}$ that are increasing in each coordinate. For uniformly bounded signals and with a fixed, cubic lattice design, we establish achieves minimax rate order $n^{-\min\{2/(d+2),1/d\}}$ empirical $L_{2}$ loss, up to polylogarithmic factors. Further, prove sharp oracle inequality, which reveals particular when true is piecewise constant $k$ hyperrectangles, enjoys faster, adaptive convergence...
Bi2MoO6 quantum dots (BM QDs, 5 nm in diameter) are evenly situ grown on reduced graphene oxide (rGO) layers, sensitizing the with high visible light response and activity for efficient solar light-driven CO2 reduction. Under irradiation, small-sized BM QDs generate active electrons donate them to rGO layers. Since formation of reduction GO undergone simultaneously, a close connection between enables electron injection from excited scaffolds, abundant accommodated by layers offer an...
Understanding the governing dopant feature for cyclic discharge capacity is vital design and discovery of new doped lithium nickel–cobalt–manganese (NCM) oxide cathodes lithium-ion battery applications. We herein apply six machine-learning regression algorithms to study correlations structural, elemental features 168 distinct NCM systems with their respective initial (IC) 50th cycle (EC). First, a Pearson correlation coefficient suggests that content ratio highly correlated both variables....
CRISPR activation (CRISPRa) is an important tool to perturb transcription, but its effectiveness varies between target genes. We employ human pluripotent stem cells with thousands of randomly integrated barcoded reporters assess epigenetic features that influence CRISPRa efficacy. Basal expression levels are influenced by genomic context and dramatically change during differentiation neurons. Gene dCas9-VPR successful in most contexts, including developmentally repressed regions, level...
Abstract We introduce a new method for high-dimensional, online changepoint detection in settings where p-variate Gaussian data stream may undergo change mean. The procedure works by performing likelihood ratio tests against simple alternatives of different scales each coordinate, and then aggregating test statistics across coordinates. algorithm is the sense that both its storage requirements worst-case computational complexity per observation are independent number previous observations;...
We study the problem of high-dimensional Principal Component Analysis (PCA) with missing observations. In a simple, homogeneous observation model, we show that an existing observed-proportion weighted (OPW) estimator leading principal components can (nearly) attain minimax optimal rate convergence, which exhibits interesting phase transition. However, deeper investigation reveals that, particularly in more realistic settings where probabilities are heterogeneous, empirical performance OPW be...
Abstract Detecting change points in data is challenging because of the range possible types and behaviour when there no change. Statistically efficient methods for detecting a will depend on both these features, it can be difficult practitioner to develop an appropriate detection method their application interest. We show how automatically generate new offline based training neural network. Our approach motivated by many existing tests presence point being representable simple network, thus...
Estrogen exerts vascular protective effects, but the underlying mechanisms remain to be understood fully. In recent years, hydrogen sulfide (H2S) has increasingly been recognized as an important signaling molecule in cardiovascular system. Vascular H2S is produced from L-cysteine, catalyzed by cystathionine γ-lyase (CSE). our study, apolipoprotein E (ApoE)-deficient mice were ovariectomized and implanted with placebo (OVX mice) or 17β-estradiol (E2) pellets + E2 mice). Compared OVX mice,...
This study aims to optimize agricultural planting strategies in the mountainous regions of North China, maximizing economic benefits under constraints limited and fragmented arable land while addressing challenges such as overproduction, market demand fluctuations, crop rotation requirements. While China’s rural revitalization strategy accelerates modernization, agriculture still faces issues farmland, high production costs, unstable demand. Existing research primarily focuses on resource...
Background Drug treatment of refractory irritable bowel syndrome (IBS) is not satisfactory at present. This study investigated the clinical effects ebastine combined with low-dose antidepressants on IBS. Methods A total 105 patients IBS were randomly assigned to two different groups after signing informed consent. And they didn't know about group in. They administered (Group A) or flupentixol and melitracen B) for 4 weeks. efficacy was evaluated using scales before treatment. In addition,...