![Andreas Artemiou](https://profiles-cardiff.imgix.net/attachments/800?w=200&h=200&auto=format&crop=faces&fit=crop&q=90")
Dr Andreas Artemiou
Lecturer
- ArtemiouA@caerdydd.ac.uk
- +44 29208 70616
- Abacws, Ystafell 2.05, Ffordd Senghennydd, Cathays, Caerdydd, CF24 4AG
- Sylwebydd y cyfryngau
- Ar gael fel goruchwyliwr ôl-raddedig
Trosolwyg
Rwy'n Ddarllenydd mewn Ystadegau yn yr Ysgol Mathemateg ers mis Awst 2021. Ymunais â'r Ysgol ym mis Medi 2013 fel Darlithydd a chefais fy nyrchafu i Uwch-ddarlithydd ym mis Awst 2019. Cyn hynny roeddwn yn Athro Cynorthwyol yn yr Adran Mathemateg ym Mhrifysgol Dechnolegol Michigan (2010-2013) ac yn Gymrawd Ymchwilydd Newydd yn y Sefydliad Ystadegau a Mathemateg Gymhwysol (SAMSI - Gogledd Carolina, UDA). Mae fy ymchwil wedi cael ei ariannu gan National Science Foundation, Cymdeithas Mathemategol Llundain, Rhwydwaith GW4 ac Ymddiriedolaeth Wellcome.
Mae fy niddordeb ymchwil yn cynnwys ystadegau dimensiwn uchel, lleihau dimensiwn dan oruchwyliaeth a heb oruchwyliaeth, ystadegau cyfrifiadurol, dysgu peirianyddol a dadansoddi data testun. Rwy'n hapus i drafod gyda darpar fyfyrwyr Ph.D. unrhyw brosiectau ymchwil y mae ganddynt ddiddordeb ynddynt os ydynt am weithio gyda mi.
Ar hyn o bryd mae gen i'r rolau canlynol yn yr Ysgol/Brifysgol:
- Cyfarwyddwr Astudiaethau Ôl-raddedig a Addysgir
- Dirprwy Gyfarwyddwr Academaidd yr Academi Gwyddor Data (DSA)
- Arweinydd Thema ar "Sgiliau ac Addysg" yn y CU/SYG Partneriaeth Strategol
Cyhoeddiad
2023
- Burton, R. J. et al. 2023. Conventional and unconventional T cell responses contribute to the prediction of clinical outcome and causative bacterial pathogen in sepsis patients. [Online]. medRxiv: Cold Spring Harbor Laboratory. (10.1101/2023.09.13.23295490v1) Available at: https://www.medrxiv.org/content/10.1101/2023.09.13.23295490v1
- Virta, J. and Artemiou, A. 2023. Poisson PCA for matrix count data. Pattern Recognition 138, article number: 109401. (10.1016/j.patcog.2023.109401)
- Christou, A. and Artemiou, A. 2023. Adaptive L0 Regularization for Sparse Support Vector Regression. Mathematics 11(13), article number: 2808. (10.3390/math11132808)
- Burton, R. J., Cuff, S. M., Morgan, M. P., Artemiou, A. and Eberl, M. 2023. GeoWaVe: Geometric median clustering with weighted voting for ensemble clustering of cytometry data. Bioinformatics 39(1), article number: btac751. (10.1093/bioinformatics/btac751)
2022
- Guest, K., Whalley, T., Maillard, J., Artemiou, A., Szomolay, B. and Webber, M. A. 2022. Responses of Salmonella biofilms to oxidizing biocides: evidence of spatial clustering. Environmental Microbiology 24(12), pp. 6426-6438. (10.1111/1462-2920.16263)
- Ponsford, M. J. et al. 2022. Examining the utility of extended laboratory panel testing in the emergency department for risk stratification of patients with COVID-19: a single-centre retrospective service evaluation. Journal of Clinical Pathology 75(4), pp. 255-262. (10.1136/jclinpath-2020-207157)
- Smallman, L. and Artemiou, A. 2022. A literature review of (sparse) exponential family PCA. Journal of Statistical Theory and Practice 16, article number: 14. (10.1007/s42519-021-00238-4)
- Pircalabelu, E. and Artemiou, A. 2022. High-dimensional sufficient dimension reduction through principal projections. Electronic Journal of Statistics 16(1), pp. 1804-1830. (10.1214/22-EJS1988)
2021
- Randall, H., Artemiou, A. and Qiao, X. 2021. Sufficient dimension reduction based on distance-weighted discrimination. Scandinavian Journal of Statistics 48(4), pp. 1186-1211. (10.1111/sjos.12484)
- Christou, E., Settle, A. and Artemiou, A. 2021. Nonlinear dimension reduction for conditional quantiles. Advances in Data Analysis and Classification 15, pp. 937-956. (10.1007/s11634-021-00439-6)
- Pircalabelu, E. and Artemiou, A. 2021. Graph imposed sliced inverse regression. Computational Statistics & Data Analysis 164, article number: 107302. (10.1016/j.csda.2021.107302)
- Ntotsis, K., Karagrigoriou, A. and Artemiou, A. 2021. Interdependency pattern recognition in econometrics: a penalized regularization antidote. Econometrics 9(4), article number: 44. (10.3390/econometrics9040044)
- Burton, R. J., Ahmed, R., Cuff, S. M., Baker, S., Artemiou, A. and Eberl, M. 2021. CytoPy: An autonomous cytometry analysis framework. PLoS Computational Biology 17(6), article number: e1009071. (10.1371/journal.pcbi.1009071)
- Artemiou, A., Dong, Y. and Shin, S. J. 2021. Real-time sufficient dimension reduction through principal least squares support vector machines. Pattern Recognition 112, article number: 107768. (10.1016/j.patcog.2020.107768)
- Jones, B. and Artemiou, A. 2021. Revisiting the predictive potential of Kernel principal components. Statistics and Probability Letters 171, article number: 109019. (10.1016/j.spl.2020.109019)
- Babos, S. and Artemiou, A. 2021. Cumulative median estimation for sufficient dimension reduction. Stats 4(1), pp. 138-145. (10.3390/stats4010011)
- Artemiou, A. 2021. Using mutual information to measure the predictive power of principal components. In: Li, B. and Bura, E. eds. Festschrift to Dennis Cook. Springer
2020
- Smallman, L., Underwood, W. and Artemiou, A. 2020. Simple Poisson PCA: An algorithm for (sparse) feature extraction with simultaneous dimension determination. Computational Statistics 35, pp. 559-577. (10.1007/s00180-019-00903-0)
- Jones, B. and Artemiou, A. 2020. On principal components regression with hilbertian predictors. Annals of the Institute of Statistical Mathematics 72, pp. 627-644. (10.1007/s10463-018-0702-9)
- Babos, S. and Artemiou, A. 2020. Sliced inverse median difference regression. Statistical Methods and Applications 29, pp. 937-954. (10.1007/s10260-020-00509-7)
- Jones, B., Artemiou, A. and Li, B. 2020. On the predictive potential of kernel principal components. Electronic Journal of Statistics 14(1), pp. 1-23. (10.1214/19-EJS1655)
2019
- Williams, L., Arribas-Ayllon, M., Artemiou, A. and Spasic, I. 2019. Comparing the utility of different classification schemes for emotive language analysis. Journal of Classification 36(3), pp. 619-648. (10.1007/s00357-019-9307-0)
- Artemiou, A. 2019. Using adaptively weighted large margin classifiers for robust sufficient dimension reduction. Statistics 53(5), pp. 1037-1051. (10.1080/02331888.2019.1636050)
- Artemiou, A. 2019. Cost-based reweighting for Principal Lq SVM for sufficient dimension reduction. Journal of Mathematics and Statistics 15(1), pp. 218-224. (10.3844/jmssp.2019.218.224)
- Spasic, I., Owen, D., Knight, D. and Artemiou, A. 2019. Unsupervised multi-word term recognition in Welsh. Presented at: Celtic Language Technology Workshop 2019, Dublin, Ireland, 19 August 2019 Presented at Lynn, T. et al. eds.Proceedings of the Celtic Language Technology Workshop. European Association for Machine Translation
- Vivian-Griffiths, T. et al. 2019. Predictive modeling of schizophrenia from genomic data: Comparison of polygenic risk score with kernel support vector machines approach. American Journal of Medical Genetics Part B: Neuropsychiatric Genetics 180(1), pp. 80-85. (10.1002/ajmg.b.32705)
- Morgan, J., Harper, P., Knight, V., Artemiou, A., Carney, A. and Nelson, A. 2019. Determining patient outcomes from patient letters: A comparison of text analysis approaches. Journal of the Operational Research Society 70(9), pp. 1425-1439. (10.1080/01605682.2018.1506559)
2018
- Challoumas, D. and Artemiou, A. 2018. Predictors of attack performance in high-level male volleyball players. International Journal of Sports Physiology and Performance 13(9), pp. 1230-1236. (10.1123/ijspp.2018-0125)
- Alothman, A., Dong, Y. and Artemiou, A. 2018. On dual model-free variable selection with two groups of variables. Journal of Multivariate Analysis 167, pp. 366-377. (10.1016/j.jmva.2018.06.003)
- Smallman, L., Artemiou, A. and Morgan, J. 2018. Sparse generalised principal component analysis. Pattern Recognition 83, pp. 443-455. (10.1016/j.patcog.2018.06.014)
2017
- Shin, S. J. and Artemiou, A. 2017. Penalized principal logistic regression for sparse sufficient dimension reduction. Computational Statistics & Data Analysis 111, pp. 48-58. (10.1016/j.csda.2016.12.003)
- Smallman, L. and Artemiou, A. 2017. A study on imbalance support vector machine algorithms for sufficient dimension reduction. Communications in Statistics - Theory and Methods 46(6), pp. 2751-2763. (10.1080/03610926.2015.1048889)
- Challoumas, D., Artemiou, A. and Dimitrakakis, G. 2017. Dominant vs non-dominant shoulder morphology in volleyball players and associations with shoulder pain and spike speed. Journal of Sports Sciences 35(1), pp. 65-73. (10.1080/02640414.2016.1155730)
2016
- Artemiou, A. and Dong, Y. 2016. Sufficient dimension reduction via principal Lq support vector machine. Electronic Journal of Statistics 10(1), pp. 783-805. (10.1214/16-ejs1122)
2015
- Artemiou, A. and Tian, L. 2015. Using sliced inverse mean difference for sufficient dimension reduction. Statistics and Probability Letters 106, pp. 184-190. (10.1016/j.spl.2015.07.025)
- Drosou, K., Artemiou, A. and Koukouvinos, C. 2015. A comparative study for the use of large margin classifies on seismic data. Journal of Applied Statistics 42(1), pp. 180-201. (10.1080/02664763.2014.938619)
2014
- Artemiou, A. and Shu, M. 2014. A cost based reweighted scheme of Principal Support Vector Machine. In: Akritas, M. G., Lahiri, S. N. and Politis, D. N. eds. Topics in Nonparametric Statistics. Springer Proceedings in Mathematics & Statistics Springer, (10.1007/978-1-4939-0569-0_1)
- Artemiou, A. 2014. Applications of sufficient dimension reduction algorithms on non-elliptical data. Journal of the Indian Society of Agricultural Statistics 68(2), pp. 273-283.
2013
- Artemiou, A. and Li, B. 2013. Predictive power of principal components for single-index model and sufficient dimension reduction. Journal of Multivariate Analysis 119, pp. 176-184. (10.1016/j.jmva.2013.04.015)
2011
- Srivastava, S. K., Artemiou, A. and Minerick, A. R. 2011. Direct current insulator-based dielectrophoretic characterization of erythrocytes: ABO-Rh human blood typing. Electrophoresis 32(18), pp. 2530-2540. (10.1002/elps.201100089)
- Li, B., Artemiou, A. and Li, L. 2011. Principal support vector machines for linear and nonlinear sufficient dimension reduction. Annals of Statistics 39(6), pp. 3182-3210. (10.1214/11-AOS932)
2009
- Artemiou, A. and Li, B. 2009. On principal components and regression: a statistical explanation of a natural phenomenon. Statistica Sinica 19, pp. 1557-1565.
2007
- Artemiou, A. 2007. Hypothesis testing in frailty models for arbitrarily censored and truncated data. Communications in Dependability and Quality Management 10(1), pp. 110-121.
Adrannau llyfrau
- Artemiou, A. 2021. Using mutual information to measure the predictive power of principal components. In: Li, B. and Bura, E. eds. Festschrift to Dennis Cook. Springer
- Artemiou, A. and Shu, M. 2014. A cost based reweighted scheme of Principal Support Vector Machine. In: Akritas, M. G., Lahiri, S. N. and Politis, D. N. eds. Topics in Nonparametric Statistics. Springer Proceedings in Mathematics & Statistics Springer, (10.1007/978-1-4939-0569-0_1)
Cynadleddau
- Spasic, I., Owen, D., Knight, D. and Artemiou, A. 2019. Unsupervised multi-word term recognition in Welsh. Presented at: Celtic Language Technology Workshop 2019, Dublin, Ireland, 19 August 2019 Presented at Lynn, T. et al. eds.Proceedings of the Celtic Language Technology Workshop. European Association for Machine Translation
Erthyglau
- Virta, J. and Artemiou, A. 2023. Poisson PCA for matrix count data. Pattern Recognition 138, article number: 109401. (10.1016/j.patcog.2023.109401)
- Christou, A. and Artemiou, A. 2023. Adaptive L0 Regularization for Sparse Support Vector Regression. Mathematics 11(13), article number: 2808. (10.3390/math11132808)
- Burton, R. J., Cuff, S. M., Morgan, M. P., Artemiou, A. and Eberl, M. 2023. GeoWaVe: Geometric median clustering with weighted voting for ensemble clustering of cytometry data. Bioinformatics 39(1), article number: btac751. (10.1093/bioinformatics/btac751)
- Guest, K., Whalley, T., Maillard, J., Artemiou, A., Szomolay, B. and Webber, M. A. 2022. Responses of Salmonella biofilms to oxidizing biocides: evidence of spatial clustering. Environmental Microbiology 24(12), pp. 6426-6438. (10.1111/1462-2920.16263)
- Ponsford, M. J. et al. 2022. Examining the utility of extended laboratory panel testing in the emergency department for risk stratification of patients with COVID-19: a single-centre retrospective service evaluation. Journal of Clinical Pathology 75(4), pp. 255-262. (10.1136/jclinpath-2020-207157)
- Smallman, L. and Artemiou, A. 2022. A literature review of (sparse) exponential family PCA. Journal of Statistical Theory and Practice 16, article number: 14. (10.1007/s42519-021-00238-4)
- Pircalabelu, E. and Artemiou, A. 2022. High-dimensional sufficient dimension reduction through principal projections. Electronic Journal of Statistics 16(1), pp. 1804-1830. (10.1214/22-EJS1988)
- Randall, H., Artemiou, A. and Qiao, X. 2021. Sufficient dimension reduction based on distance-weighted discrimination. Scandinavian Journal of Statistics 48(4), pp. 1186-1211. (10.1111/sjos.12484)
- Christou, E., Settle, A. and Artemiou, A. 2021. Nonlinear dimension reduction for conditional quantiles. Advances in Data Analysis and Classification 15, pp. 937-956. (10.1007/s11634-021-00439-6)
- Pircalabelu, E. and Artemiou, A. 2021. Graph imposed sliced inverse regression. Computational Statistics & Data Analysis 164, article number: 107302. (10.1016/j.csda.2021.107302)
- Ntotsis, K., Karagrigoriou, A. and Artemiou, A. 2021. Interdependency pattern recognition in econometrics: a penalized regularization antidote. Econometrics 9(4), article number: 44. (10.3390/econometrics9040044)
- Burton, R. J., Ahmed, R., Cuff, S. M., Baker, S., Artemiou, A. and Eberl, M. 2021. CytoPy: An autonomous cytometry analysis framework. PLoS Computational Biology 17(6), article number: e1009071. (10.1371/journal.pcbi.1009071)
- Artemiou, A., Dong, Y. and Shin, S. J. 2021. Real-time sufficient dimension reduction through principal least squares support vector machines. Pattern Recognition 112, article number: 107768. (10.1016/j.patcog.2020.107768)
- Jones, B. and Artemiou, A. 2021. Revisiting the predictive potential of Kernel principal components. Statistics and Probability Letters 171, article number: 109019. (10.1016/j.spl.2020.109019)
- Babos, S. and Artemiou, A. 2021. Cumulative median estimation for sufficient dimension reduction. Stats 4(1), pp. 138-145. (10.3390/stats4010011)
- Smallman, L., Underwood, W. and Artemiou, A. 2020. Simple Poisson PCA: An algorithm for (sparse) feature extraction with simultaneous dimension determination. Computational Statistics 35, pp. 559-577. (10.1007/s00180-019-00903-0)
- Jones, B. and Artemiou, A. 2020. On principal components regression with hilbertian predictors. Annals of the Institute of Statistical Mathematics 72, pp. 627-644. (10.1007/s10463-018-0702-9)
- Babos, S. and Artemiou, A. 2020. Sliced inverse median difference regression. Statistical Methods and Applications 29, pp. 937-954. (10.1007/s10260-020-00509-7)
- Jones, B., Artemiou, A. and Li, B. 2020. On the predictive potential of kernel principal components. Electronic Journal of Statistics 14(1), pp. 1-23. (10.1214/19-EJS1655)
- Williams, L., Arribas-Ayllon, M., Artemiou, A. and Spasic, I. 2019. Comparing the utility of different classification schemes for emotive language analysis. Journal of Classification 36(3), pp. 619-648. (10.1007/s00357-019-9307-0)
- Artemiou, A. 2019. Using adaptively weighted large margin classifiers for robust sufficient dimension reduction. Statistics 53(5), pp. 1037-1051. (10.1080/02331888.2019.1636050)
- Artemiou, A. 2019. Cost-based reweighting for Principal Lq SVM for sufficient dimension reduction. Journal of Mathematics and Statistics 15(1), pp. 218-224. (10.3844/jmssp.2019.218.224)
- Vivian-Griffiths, T. et al. 2019. Predictive modeling of schizophrenia from genomic data: Comparison of polygenic risk score with kernel support vector machines approach. American Journal of Medical Genetics Part B: Neuropsychiatric Genetics 180(1), pp. 80-85. (10.1002/ajmg.b.32705)
- Morgan, J., Harper, P., Knight, V., Artemiou, A., Carney, A. and Nelson, A. 2019. Determining patient outcomes from patient letters: A comparison of text analysis approaches. Journal of the Operational Research Society 70(9), pp. 1425-1439. (10.1080/01605682.2018.1506559)
- Challoumas, D. and Artemiou, A. 2018. Predictors of attack performance in high-level male volleyball players. International Journal of Sports Physiology and Performance 13(9), pp. 1230-1236. (10.1123/ijspp.2018-0125)
- Alothman, A., Dong, Y. and Artemiou, A. 2018. On dual model-free variable selection with two groups of variables. Journal of Multivariate Analysis 167, pp. 366-377. (10.1016/j.jmva.2018.06.003)
- Smallman, L., Artemiou, A. and Morgan, J. 2018. Sparse generalised principal component analysis. Pattern Recognition 83, pp. 443-455. (10.1016/j.patcog.2018.06.014)
- Shin, S. J. and Artemiou, A. 2017. Penalized principal logistic regression for sparse sufficient dimension reduction. Computational Statistics & Data Analysis 111, pp. 48-58. (10.1016/j.csda.2016.12.003)
- Smallman, L. and Artemiou, A. 2017. A study on imbalance support vector machine algorithms for sufficient dimension reduction. Communications in Statistics - Theory and Methods 46(6), pp. 2751-2763. (10.1080/03610926.2015.1048889)
- Challoumas, D., Artemiou, A. and Dimitrakakis, G. 2017. Dominant vs non-dominant shoulder morphology in volleyball players and associations with shoulder pain and spike speed. Journal of Sports Sciences 35(1), pp. 65-73. (10.1080/02640414.2016.1155730)
- Artemiou, A. and Dong, Y. 2016. Sufficient dimension reduction via principal Lq support vector machine. Electronic Journal of Statistics 10(1), pp. 783-805. (10.1214/16-ejs1122)
- Artemiou, A. and Tian, L. 2015. Using sliced inverse mean difference for sufficient dimension reduction. Statistics and Probability Letters 106, pp. 184-190. (10.1016/j.spl.2015.07.025)
- Drosou, K., Artemiou, A. and Koukouvinos, C. 2015. A comparative study for the use of large margin classifies on seismic data. Journal of Applied Statistics 42(1), pp. 180-201. (10.1080/02664763.2014.938619)
- Artemiou, A. 2014. Applications of sufficient dimension reduction algorithms on non-elliptical data. Journal of the Indian Society of Agricultural Statistics 68(2), pp. 273-283.
- Artemiou, A. and Li, B. 2013. Predictive power of principal components for single-index model and sufficient dimension reduction. Journal of Multivariate Analysis 119, pp. 176-184. (10.1016/j.jmva.2013.04.015)
- Srivastava, S. K., Artemiou, A. and Minerick, A. R. 2011. Direct current insulator-based dielectrophoretic characterization of erythrocytes: ABO-Rh human blood typing. Electrophoresis 32(18), pp. 2530-2540. (10.1002/elps.201100089)
- Li, B., Artemiou, A. and Li, L. 2011. Principal support vector machines for linear and nonlinear sufficient dimension reduction. Annals of Statistics 39(6), pp. 3182-3210. (10.1214/11-AOS932)
- Artemiou, A. and Li, B. 2009. On principal components and regression: a statistical explanation of a natural phenomenon. Statistica Sinica 19, pp. 1557-1565.
- Artemiou, A. 2007. Hypothesis testing in frailty models for arbitrarily censored and truncated data. Communications in Dependability and Quality Management 10(1), pp. 110-121.
Gwefannau
- Burton, R. J. et al. 2023. Conventional and unconventional T cell responses contribute to the prediction of clinical outcome and causative bacterial pathogen in sepsis patients. [Online]. medRxiv: Cold Spring Harbor Laboratory. (10.1101/2023.09.13.23295490v1) Available at: https://www.medrxiv.org/content/10.1101/2023.09.13.23295490v1
Ymchwil
Research interests
- Unsupervised dimension reduction methodology like PCA and its effectiveness when it is applied in a regression setting.
- Supervised dimension reduction like sufficient dimension reduction. Using machine learning ideas in the sufficient dimension reduction framework.
- Machine learning algorithms.
- Kernel methods.
- Applications of dimension reduction and machine learning ideas to massive/high dimensional real datasets.
External funding
Expired: US National Science Foundation, Division of Mathematical Sciences, 09/2012 $110000
Addysgu
I teach the following modules:
- MA2002 Matrix Algebra
- MA0263 Introduction to Computational Statistics
Postgraduate students
Students graduated (since 2000)
- Master of Science: Lipu Tian at Michigan Technological University (2012)
- Former Research Assistants: Min Shu at Michigan Technological University
Current students
- Timothy Vivian-Griffiths, Ph.D., School of Medicine, Cardiff University
- PhD student: Luke Smallman, School of Mathematics, Cardiff University (start: 10/2015)
Bywgraffiad
Education
- PhD – Statistics, Pennsylvania State University, USA, 08/2010.
- M.Sc. – Statistics, Pennsylvania State University, USA, 05/2008.
- BSc – Mathematics and Statistics (minor Computer Science), University of Cyprus, Cyprus, 06/2005.
Previous positions
- 09/2012-05/2013 New Researcher Fellow at the Statistics and Applied Mathematics Instittute
- 08/2010 – 08/2013 Assistant Professor, Department of Mathematical Sciences, Michigan Technological University, USA
Anrhydeddau a dyfarniadau
- Eleneio Dissertation Award, Greek Statistical Institute (2011)
- Teaching Award, Department of Statistics, Pennsylvania State University, (2008)
Aelodaethau proffesiynol
- Royal Statistical Society
- British Classification Society
- International Association of Statistical Computing
- Institute of Mathematical Statistics
- American Statistical Association
- Greek Statistical Institute
Safleoedd academaidd blaenorol
- 08/2019 - yn bresennol: Uwch Ddarlithydd, Ysgol Mathemateg, Prifysgol Caerdydd
- 09/2013 - 07/2019 Darlithydd, Ysgol Mathemateg, Prifysgol Caerdydd
- 09/2012 - 05/2013 Cymrawd Ymchwilydd Newydd yn yr Instittute Ystadegau a Mathemateg Gymhwysol
- 08/2010 – 08/2013 Athro Cynorthwyol, Adran Gwyddorau Mathemategol , Prifysgol Dechnolegol Michigan, UDA
Pwyllgorau ac adolygu
- Adolygydd ar gyfer grantiau EPSRC
- Adolygydd ar gyfer nifer o gyfnodolion ystadegol gan gynnwys; Annals o Ystadegau, JRSS, Biometrika, Journal of the American Statistical Association, Ystadegau Graffigol a Chyfrifiannol, Statistica Sinica, Electronic Journal of Statistics, Ystadegau Cyfrifiannol a Dadansoddi Data ac ati.
Meysydd goruchwyliaeth
- Pynciau ar Leihau Dimensiwn
- Pynciau ar Ddysgu Ystadegol/Peiriant
- Pynciau ar Ddulliau Cnewyllyn