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Andrew N. Bayne, Jing Dong, Saeid Amiri, Sali M.K. Farhan, Jean-Francois Trempe (2023). MTSviewer: A database to visualize mitochondrial targeting sequences, cleavage sites, and mutations on protein structures. PLoS One. doi: 10.1371/journal.pone.0284541. PMID: 37093842; PMCID: PMC10124841. ( pdf, Journal, supplementary)
Amiri, S., Goulet, JA., Tremanier, M., and Saunier, N. (2023). Modeling Transportation Time Series using Bayesian Dynamic Linear Model. WCTR, 17-21 ( pdf, supplementary)
Amiri, S., Hassani, H., Heravi, S. (2023). Ranked Set Sampling with Probability Proportional to Size with Application to Economic Data. To appear in Austrian Journal of Statistics. ( pdf, Journal, supplementary)
Deka, B., Ha Nguyen, L., Amiri, S and Goulet, J-A. (2022).The Gaussian Multiplicative Approximation forState-Space Models. Structural Control and Health Monitoring. Volume 29, Issue 3, e2904. ( Journal, pdf)
Goulet JA, Nguyen LH, Amiri S. (2021). Tractable Approximate Gaussian Inference for Bayesian Neural Networks. Journal of Machine Learning Research, 20-1009, In press. ( Journal)
Ahmed SE, Amiri S., Doksum, K. (2021). Ensemble linear subspace analysis of high-dimensional data. Entropy, 23(3), 324. ( Journal)
Amiri, S. (2021). Meta inference of heterogeneous data streams. Journal of Biopharmaceutical Statistics, 1-17. ( pdf, Journal, supplementary)
Toulouse, C., Amiri, S., Cloutier, M. S., & Saunier, N. (2020). Speed Limit Changes and Driver Behaviour: A Spatial Lag Model. Findings, 17408. ( Journal)
Amiri, S., Jozani, M. J., & Modarres, R. (2020). On multiple imputation for unbalanced ranked set samples with applications in quantile estimation. Brazilian Journal of Probability and Statistics , 34(4), 752-769. ( pdf, Journal)
Amiri, S., Clarke, B. S., Clarke, J. L., & Koepke, H. (2019). A general hybrid clustering technique. Journal of Computational and Graphical Statistics, 28(3), 540-551. ( pdf, Journal, Wiki )
Amiri, S., Clarke, B. S., & Clarke, J. L. (2018). Clustering categorical data via ensembling dissimilarity matrices. Journal of Computational and Graphical Statistics , 27(1), 195-208. (pdf, Journal, supplementary)
Amiri, S., Jozani Jafari, M., & Modarres, R. (2018). Randomly Selected Order Statistics in Ranked Set Sampling: less expensive comparable alternative to simple random sampling. Environmental and Ecological Statistics. Doi:10.1007/s10651-018-0402-x. ( pdf, Journal, supplementary)
Amiri, S., & Dinov, I. D. (2017). msktuple: An Integrated R Library for Alignment-Free Multiple Sequence k-Tuple Analysis. Chemometrics and Intelligent Laboratory Systems, 168, 84-88. Doi: 10.1016/j.chemolab.2017.07.012. ( pdf, Journal, supplementary)
Amiri, S., & Modarres, R. (2017). Comparison of tests of contingency tables. Journal of biopharmaceutical statistics, 1-13. Doi: 10.1080/10543406.2016.1269786. ( pdf, Journal, supplementary )
Amiri, S., Modarres, R., & Zwanzig, S. (2017). Tests of Perfect Judgment Ranking using Pseudo-samples. Computational Statistics, 32(4), 1309-1322. DOI: 10.1007/s00180-016-0698-7. ( pdf, Journal, supplementary )
Amiri, S. (2016). Revisiting inference of coefficient of variation: nuisances parameters. Stat, 5, 234-24. Doi: 10.1002/sta4.116. (pdf, Journal )
Amiri, S., & Dinov, I. D. (2016). Comparison of genomic data via statistical distribution. Journal of Theoretical Biology, 407, 318-327. doi: 10.1016/j.jtbi.2016.07.032. ( pdf, Journal, supplementary )
Clarke, B, Amiri, S., & Clarke, J. (2016). EnsCat: Clustering of Categorical data via ensembling. BMC Bioinformatics, 17:380 DOI 10.1186/s12859-016-1245-9 ( Journal, supplementary )
Ghodsi, M., Amiri, S. Hassani, H., & Ghodsi, Z. (2016). An enhanced version of Cochran-Armitage trend test for genome-wide association studies. Meta Gene, doi:10.1016/j.mgene.2016.07.001. ( Journal)
Amiri, S., Jafari Jozani, M., & Modarres, R. (2016). Exponentially Tilted Empirical Distribution Function for Ranked Set Samples. Journal of the Korean Statistical Society, 45(2), 176-187 (pdf, Journal)
Amiri, S., Modarres, R., & Bhoj, D. S. (2015). Ranked set sampling with random subsamples. Journal of Statistical Computation and Simulation, 85(5), 935-946. ( pdf, Journal, supplementary )
Amiri, S., Jafari Jozani, M., & Modarres, R. (2014). Resampling Unbalanced Ranked Set Samples With Applications in Testing Hypothesis About the Population Mean. Journal of Agricultural, Biological, and Environmental Statistics, 19(1), 1-17. ( pdf, Journal )
Amiri, S. (2014). The resampling of entropies with the application of biodiversity. Journal of Applied Statistics, 41(2), 407-422. ( pdf, Journal )
Amiri, S., & von Rosen, D. (2011). On the efficiency of bootstrap method into the analysis contingency table. Computer methods and programs in biomedicine, 104(2), 182-187 ( pdf, Journal )
Amiri, S., & Zwanzig, S. (2011). Assessing the coefficient of variations of chemical data using bootstrap method. Journal of Chemometrics, 25(6), 295-300. ( pdf, Journal )
Amiri, S., & Zwanzig, S. (2010). An improvement of the nonparametric bootstrap test for the comparison of the coefficient of variations. Communications in Statistics—Simulation and Computation, 39(9), 1726-1734. ( pdf, Journal )
Amiri, S., von Rosen, D., & Zwanzig, S. (2010). A comparison of bootstrap methods for variance estimation. Journal of statistical theory and applications. ( pdf, Journal )
Hassani, H., Zokaei, M., von Rosen, D., Amiri, S., & Ghodsi, M. (2009). Does noise reduction matter for curve fitting in growth curve models?. Computer methods and programs in biomedicine, 96(3), 173-181. ( pdf, Journal )
Amiri, S., Von Rosen, D., & Zwanzig, S. (2009). The SVM Approach for Box–Jenkins Models. REVSTAT–Statistical Journal, 7(1), 23-36. ( pdf, Journal )
Applications
Forkman, J., Amiri, S., & von Rosen, D. (2012). Effect of region on the uncertainty in crop variety trial programs with a reduced number of trials. Euphytica, 186(2), 489-500. ( pdf,Journal)
Chapter
Amiri, S., & Modaress, R. (2019). Statistical Inference of Ranked Set Sampling Via Resampling Methods. 59-70. ( pdf,Journal)
Miscellaneous
Amiri, S. (2017). Rbox: An integrated Atom packages for R. ( pdf, link, GitHub, wiki )
A statistical study of similarities and dissimilarities in yield district used in swedish variety trials (2009). (with J. Forkman and D. von Rosen). [pdf]
Konsekvenser av indelningar in omra˙den för redovisning av försök i den svenska sortprovningen (2009). (with J. Forkman and D. von Rosen). [pdf]