New Micropayment Schemes Based on PayWords. - Yi Mu 001; Vijay Varadharajan; Yan-Xia Lin (ACISP, 1997)

A practical procedure for estimation of linear models via asymptotic quasi-likelihood. - Riccardo Biondini; Yan-Xia Lin; Sifa Mvoi (Adv. Decis. Sci., 1999)

The effects of I(1) series on cointegration inference. - Yan-Xia Lin; Michael McCrae (Adv. Decis. Sci., 2002)

Asymptotics for general nonstationary fractionally integrated processes without prehistoric influence. - Qiying Wang; Yan-Xia Lin; Chandra Gulati (Adv. Decis. Sci., 2002)

Identity-Based Broadcasting. - Yi Mu 001; Willy Susilo; Yan-Xia Lin (INDOCRYPT, 2003)

Robust non-interactive oblivious transfer. - Yi Mu 001; Junqi Zhang; Vijay Varadharajan; Yan-Xia Lin (IEEE Commun. Lett., 2003)

A case study of the residual-based cointegration procedure . - Riccardo Biondini; Yan-Xia Lin; Michael McCrae (Adv. Decis. Sci., 2003)

Identity-Based Authenticated Broadcast Encryption and Distributed Authenticated Encryption. - Yi Mu 001; Willy Susilo; Yan-Xia Lin; Chun Ruan (ASIAN, 2004)

Improving promoter prediction Improving promoter prediction for the NNPP2.2 algorithm: a case study using Escherichia coli DNA sequences. - S. Burden; Yan-Xia Lin; R. Zhang (Bioinform., 2005)

The Probability Distribution of Distance TSS-TLS Is Organism Characteristic and Can Be Used for Promoter Prediction. - Yun Dai; Ren Zhang 002; Yan-Xia Lin (IEA/AIE, 2006)

Loss protection in pairs trading through minimum profit bounds: A cointegration approach. - Yan-Xia Lin; Michael McCrae; Chandra Gulati (Adv. Decis. Sci., 2006)

Estimating from cross-sectional categorical data subject to misclassification and double sampling: Moment-based, maximum likelihood and quasi-likelihood approaches. - Nikos Tzavidis; Yan-Xia Lin (Adv. Decis. Sci., 2006)

Asymptotic Quasi-likelihood Based on Kernel Smoothing for Nonlinear and Non-Gaussian State-Space Models. - Raed Alzghool; Yan-Xia Lin (World Congress on Engineering, 2007)

Correlations of Length Distributions between Non-coding and Coding Sequences of Arabidopsis thaliana. - Rachel Caldwell; Yan-Xia Lin; Ren Zhang 002 (BIBM, 2008)

Improving Neural Network Promoter Prediction by Exploiting the Lengths of Coding and Non-Coding Sequences. - Rachel Caldwell; Yun Dai; Sheenal Srivastava; Yan-Xia Lin; Ren Zhang 002 (Advances of Computational Intelligence in Industrial Systems, 2008)

The Length Distributions of Non-coding and Coding Sequences in Relation to Gene Expression: A Study on Arabidopsis thaliana. - Rachel Caldwell; Jinda Kongcharoen; Yan-Xia Lin; Ren Zhang 002 (BIOCOMP, 2010)

Assessment of length distributions between non-coding and coding sequences amongst two model organisms. - Rachel Caldwell; Yan-Xia Lin; Ren Zhang 002 (Int. J. Data Min. Bioinform., 2010)

The algorithm of equal acceptance region for detecting copy number alterations: applications to next-generation sequencing data. - Yan-Xia Lin (Int. J. Bioinform. Res. Appl., 2012)

Estimation of Regression Parameters from Noise Multiplied Data. - Yan-Xia Lin; Phillip Wise (J. Priv. Confidentiality, 2013)

Density Approximant Based on Noise Multiplied Data. - Yan-Xia Lin (Privacy in Statistical Databases, 2014)

A New Algorithm for Protecting Aggregate Business Microdata via a Remote System. - Yue Ma; Yan-Xia Lin; James O. Chipperfield; John Newman; Victoria Leaver (PSD, 2016)

Univariate and multivariate approaches to seasonal adjustment of aggregate series of different lengths. - Carole L. Birrell; Yan-Xia Lin; David G. Steel (Model. Assist. Stat. Appl., 2016)

Mining the Statistical Information of Confidential Data from Noise-Multiplied Data. - Yan-Xia Lin (DASC/PiCom/DataCom/CyberSciTech, 2017)

Protecting Values Close to Zero Under the Multiplicative Noise Method. - Yan-Xia Lin (PSD, 2018)

Reviewing the Methods of Estimating the Density Function Based on Masked Data. - Yan-Xia Lin; Pavel N. Krivitsky (PSD, 2018)

Quantifying the Protection Level of a Noise Candidate for Noise Multiplication Masking Scheme. - Yue Ma; Yan-Xia Lin; Pavel N. Krivitsky; Bradley Wakefield (PSD, 2018)

Efficiency and Sample Size Determination of Protected Data. - Bradley Wakefield; Yan-Xia Lin (PSD, 2018)

Statistical Information Recovery from Multivariate Noise-Multiplied Data, a Computational Approach. - Yan-Xia Lin; Luke Mazur; Rathindra Sarathy; Krishnamurty Muralidhar (Trans. Data Priv., 2018)

A computational Bayesian approach for estimating density functions based on noise-multiplied data. - Yan-Xia Lin (Int. J. Big Data Intell., 2019)

Moment-based density estimation of confidential micro-data: a computational statistics approach. - Bradley Wakefield; Yan-Xia Lin; Rathindra Sarathy; Krishnamurty Muralidhar (Stat. Comput., 2023)

Why Investors Want Risk. - David J. Johnstone; Yan-Xia Lin (Decis. Anal., 2025)