Bivariate Continuous Negatively Correlated Proportional Models with Applications in Schizophrenia Research.
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- Mathematics (2227-7390), 2022, v. 10, n. 3, p. 353, doi. 10.3390/math10030353
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- Article
Works matching AU Shu, Lianjie
Results: 40
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Selecting Classification Methods for Small Samples of Next-Generation Sequencing Data.
- Published in:
- Frontiers in Genetics, 2021, v. 11, p. N.PAG, doi. 10.3389/fgene.2021.642227
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- Publication type:
- Article
3
A Comparative Study of Joint Monitoring Schemes for APC Processes.
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- Quality & Reliability Engineering International, 2006, v. 22, n. 8, p. 939, doi. 10.1002/qre.780
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- Publication type:
- Article
4
Autocorrelated process monitoring using triggered cuscore charts.
- Published in:
- Quality & Reliability Engineering International, 2002, v. 18, n. 5, p. 411, doi. 10.1002/qre.492
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- Publication type:
- Article
5
scDMV: a zero–one inflated beta mixture model for DNA methylation variability with scBS-seq data.
- Published in:
- Bioinformatics, 2024, v. 40, n. 1, p. 1, doi. 10.1093/bioinformatics/btad772
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- Publication type:
- Article
6
Sparse bayesian kernel multinomial probit regression model for high-dimensional data classification.
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- Communications in Statistics: Theory & Methods, 2019, v. 48, n. 1, p. 165, doi. 10.1080/03610926.2018.1463385
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- Publication type:
- Article
7
One-sided EWMA control charts for monitoring Poisson processes with varying sample sizes.
- Published in:
- Communications in Statistics: Theory & Methods, 2016, v. 45, n. 20, p. 6112, doi. 10.1080/03610926.2014.957853
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- Publication type:
- Article
8
A phase I change‐point method for high‐dimensional process with sparse mean shifts.
- Published in:
- Naval Research Logistics, 2023, v. 70, n. 3, p. 261, doi. 10.1002/nav.22095
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- Publication type:
- Article
9
A comparison of weighted CUSUM procedures for monitoring process proportions with varying sample sizes.
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- International Journal of Production Research, 2014, v. 52, n. 11, p. 3225, doi. 10.1080/00207543.2013.867378
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- Publication type:
- Article
10
An adaptive exponentially weighted moving average control chart for monitoring process variances.
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- Journal of Statistical Computation & Simulation, 2008, v. 78, n. 4, p. 367, doi. 10.1080/00949650601108000
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- Publication type:
- Article
11
A Bayesian approach to diagnosing covariance matrix shifts.
- Published in:
- Quality & Reliability Engineering International, 2020, v. 36, n. 2, p. 736, doi. 10.1002/qre.2601
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- Publication type:
- Article
12
CUSUM Procedures for Health Care Surveillance.
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- Quality & Reliability Engineering International, 2013, v. 29, n. 6, p. 883, doi. 10.1002/qre.1444
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- Publication type:
- Article
13
A distribution‐free control chart for monitoring high‐dimensional processes based on interpoint distances.
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- Naval Research Logistics, 2018, v. 65, n. 4, p. 317, doi. 10.1002/nav.21809
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- Publication type:
- Article
14
A novel gradient approach for optimal design and sensitivity analysis of EWMA control charts.
- Published in:
- Naval Research Logistics, 2014, v. 61, n. 3, p. 223, doi. 10.1002/nav.21579
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- Publication type:
- Article
15
A standardized scan statistic for detecting spatial clusters with estimated parameters.
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- Naval Research Logistics, 2012, v. 59, n. 6, p. 397, doi. 10.1002/nav.21493
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- Publication type:
- Article
16
Design of Multiple Cause-Selecting Charts for Multistage Processes with Model Uncertainty.
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- Quality Engineering, 2004, v. 16, n. 3, p. 437, doi. 10.1081/QEN-120027945
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- Publication type:
- Article
17
A comparison of weighted CUSUM procedures that account for monotone changes in population size.
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- Statistics in Medicine, 2011, v. 30, n. 7, p. 725, doi. 10.1002/sim.4122
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- Publication type:
- Article
18
Phase I analysis of high-dimensional covariance matrices based on sparse leading eigenvalues.
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- Journal of Quality Technology, 2021, v. 53, n. 4, p. 333, doi. 10.1080/00224065.2020.1746212
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- Publication type:
- Article
19
A Gradient Approach to the Optimal Design of CUSUM Charts Under Unknown Mean-Shift Sizes.
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- Journal of Quality Technology, 2016, v. 48, n. 1, p. 68, doi. 10.1080/00224065.2016.11918152
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- Publication type:
- Article
20
Weighted CUSUM Control Charts for Monitoring Poisson Processes with Varying Sample Sizes.
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- Journal of Quality Technology, 2011, v. 43, n. 4, p. 346, doi. 10.1080/00224065.2011.11917869
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- Publication type:
- Article
21
An Adaptive CUSUM Procedure for Signaling Process Variance Changes of Unknown Sizes.
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- Journal of Quality Technology, 2010, v. 42, n. 1, p. 69, doi. 10.1080/00224065.2010.11917807
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- Publication type:
- Article
22
A New EWMA Chart for Monitoring Process Dispersion.
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- Journal of Quality Technology, 2008, v. 40, n. 3, p. 319, doi. 10.1080/00224065.2008.11917737
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- Publication type:
- Article
23
A Weighted CUSUM Chart for Detecting Patterned Mean Shifts.
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- Journal of Quality Technology, 2008, v. 40, n. 2, p. 194, doi. 10.1080/00224065.2008.11917725
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- Publication type:
- Article
24
A Markov Chain Model for the Adaptive CUSUM Control Chart.
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- Journal of Quality Technology, 2006, v. 38, n. 2, p. 135, doi. 10.1080/00224065.2006.11918601
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- Publication type:
- Article
25
Run-Length Performance of Regression Control Charts with Estimated Parameters.
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- Journal of Quality Technology, 2004, v. 36, n. 3, p. 280, doi. 10.1080/00224065.2004.11980274
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- Publication type:
- Article
26
A generalized exponentially weighted moving average control chart for monitoring autocorrelated vectors.
- Published in:
- Communications in Statistics: Simulation & Computation, 2023, v. 52, n. 6, p. 2559, doi. 10.1080/03610918.2021.1910298
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- Publication type:
- Article
27
A Comparison of Likelihood-Based Spatiotemporal Monitoring Methods Under Non-Homogenous Population Size.
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- Communications in Statistics: Simulation & Computation, 2015, v. 44, n. 1, p. 14, doi. 10.1080/03610918.2013.763981
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- Publication type:
- Article
28
A One-Sided EWMA Control Chart for Monitoring Process Means.
- Published in:
- Communications in Statistics: Simulation & Computation, 2007, v. 36, n. 4, p. 901, doi. 10.1080/03610910701418465
- By:
- Publication type:
- Article
29
OPTIMAL REBATE STRATEGIES IN A TWO-ECHELON SUPPLY CHAIN WITH NONLINEAR AND LINEAR MULTIPLICATIVE DEMANDS.
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- Journal of Industrial & Management Optimization, 2016, v. 12, n. 4, p. 1587, doi. 10.3934/jimo.2016.12.1587
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- Publication type:
- Article
30
Bayesian variable selection with sparse and correlation priors for high-dimensional data analysis.
- Published in:
- Computational Statistics, 2017, v. 32, n. 1, p. 127, doi. 10.1007/s00180-016-0665-3
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- Publication type:
- Article
31
An Enhanced Factor Model for Portfolio Selection in High Dimensions*.
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- Journal of Financial Econometrics, 2024, v. 22, n. 1, p. 94, doi. 10.1093/jjfinec/nbac029
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- Publication type:
- Article
32
High-dimensional sparse index tracking based on a multi-step convex optimization approach.
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- Quantitative Finance, 2023, v. 23, n. 9, p. 1361, doi. 10.1080/14697688.2023.2236158
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33
High-dimensional index tracking based on the adaptive elastic net.
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- Quantitative Finance, 2020, v. 20, n. 9, p. 1513, doi. 10.1080/14697688.2020.1737328
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34
A gradient approach to efficient design and analysis of multivariate EWMA control charts.
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- Journal of Statistical Computation & Simulation, 2018, v. 88, n. 14, p. 2707, doi. 10.1080/00949655.2018.1483367
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- Article
35
A self-adjusted weighted likelihood ratio test for global clustering of disease.
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- Journal of Statistical Computation & Simulation, 2016, v. 86, n. 5, p. 996, doi. 10.1080/00949655.2015.1049604
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- Article
36
A window-limited generalized likelihood ratio test for monitoring Poisson processes with linear drifts.
- Published in:
- Journal of Statistical Computation & Simulation, 2015, v. 85, n. 15, p. 2975, doi. 10.1080/00949655.2014.945933
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- Publication type:
- Article
37
Computation of the run-length percentiles of CUSUM control charts under changes in variances.
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- Journal of Statistical Computation & Simulation, 2013, v. 83, n. 7, p. 1238, doi. 10.1080/00949655.2012.656643
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- Publication type:
- Article
38
Improving Minimum-Variance Portfolios by Alleviating Overdispersion of Eigenvalues.
- Published in:
- Journal of Financial & Quantitative Analysis, 2020, v. 55, n. 8, p. 2700, doi. 10.1017/S0022109019000899
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- Publication type:
- Article
39
Joint Diagnosis of High-Dimensional Process Mean and Covariance Matrix based on Bayesian Model Selection.
- Published in:
- Technometrics, 2023, v. 65, n. 4, p. 465, doi. 10.1080/00401706.2023.2182366
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- Publication type:
- Article
40
Sparse Bayesian Variable Selection with Correlation Prior for Forecasting Macroeconomic Variable using Highly Correlated Predictors.
- Published in:
- Computational Economics, 2018, v. 51, n. 2, p. 323, doi. 10.1007/s10614-017-9741-1
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- Publication type:
- Article