Works (4)

Updated: October 16th, 2023 08:47

2018 journal article

Identifying and Estimating Persistent Items in Data Streams


By: H. Dai*, M. Shahzad n, A. Liu*, M. Li*, Y. Zhong* & G. Chen*

author keywords: Persistent item; identification; estimation; Bloom filter; Raptor code
TL;DR: This paper proposes a novel scheme, PIE, that can not only accurately identify each persistent item with a probability greater than any desired false negative rate (FNR), but can also accurately estimate the number of occurrences of each persistence item. (via Semantic Scholar)
UN Sustainable Development Goal Categories
Source: Web Of Science
Added: January 14, 2019

2017 journal article


ANNALS OF STATISTICS, 45(5), 2190–2217.

By: M. Li* & S. Ghosal*

author keywords: Boundary detection; Gaussian process on sphere; image; posterior contraction rate; random series; squared exponential periodic kernel; Bayesian adaptation
TL;DR: A nonparametric Bayesian approach based on priors indexed by d - 1, the unit sphere in $\mathbb{R}^d$ that achieves four goals of guaranteed geometric restriction, (nearly) minimax rate optimal and adaptive to the smoothness level, convenient for joint inference and computationally efficient. (via Semantic Scholar)
UN Sustainable Development Goal Categories
Source: Web Of Science
Added: August 6, 2018

2015 journal article

Incorporating covariates in skewed functional data models

Biostatistics (Oxford, England), 16(3), 413–426.

By: M. Li n, A. Staicu n & H. Bondell n

MeSH headings : Biostatistics; Case-Control Studies; Computer Simulation; Diffusion Tensor Imaging / statistics & numerical data; Humans; Models, Statistical; Multiple Sclerosis / diagnosis; Multivariate Analysis; Normal Distribution; Principal Component Analysis; Software
TL;DR: The proposed cSFM framework provides a unifying platform for pointwise quantile estimation and trajectory prediction and considers a computationally feasible procedure that handles densely as well as sparsely observed functional data. (via Semantic Scholar)
Sources: NC State University Libraries, NC State University Libraries
Added: August 6, 2018

2014 journal article

Bayesian Multiscale Smoothing of Gaussian Noised Images

BAYESIAN ANALYSIS, 9(3), 733–758.

By: M. Li n & S. Ghosal n

author keywords: Chinese Restaurant Process; MCMC-free computation; 3-dimensional image
TL;DR: Simulations on Shepp-Logan phantom and Lena test images show that the proposed smoothing method is comparable with the best available methods for light noise and outperforms them for heavier noise both visually and numerically. (via Semantic Scholar)
UN Sustainable Development Goal Categories
Source: Web Of Science
Added: August 6, 2018

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