Publications
Published papers in journals ...
- Cheng, S., Konomi, B. A., Karagiannis, G., & Kang, E. L. (2024). Recursive nearest neighbor co‐kriging models for big multi‐fidelity spatial data sets. Environmetrics, e2844. Environmetrics
- Ma, P., Karagiannis, G., Konomi, B.A., Asher, T.G., Toro, G.R.
& Cox, A.T. (2022) Multifidelity computer model emulation with
high-dimensional output: An application to storm surge. Journal of
the Royal Statistical Society: Series C, 1–23
- Chang, W., Konomi, B. A., Karagiannis, G., Guan, Y., &
Haran, M. (2022). Ice Model Calibration Using Semi-continuous
Spatial Data. Annals of Applied Statistics.
- Karagiannis, G., Hou, Z., Huang, M., & Lin, G. (2022).
Inverse modeling of hydrologic parameters in CLM4 via generalized
polynomial chaos in the Bayesian framework. Computation, 10(5),
72.
- Cheng, S., Konomi, B. A., Matthews, J. L., Karagiannis, G.,
& Kang, E. L. (2021). Hierarchical Bayesian nearest neighbor
co-kriging Gaussian process models; an application to
intersatellite calibration. Spatial Statistics, 100516.
- Konomi, B. A., & Karagiannis, G. (2020). Bayesian analysis
of multifidelity computer models with local features and
non-nested experimental designs: Application to the WRF model. Technometrics.,
1-31.
- Karagiannis, G., Hao, W., & Lin, G. (2020) Calibrations and
validations of biological models with an application on the renal
fibrosis. International Journal for Numerical Methods in
Biomedical Engineering, e3329.
- Karagiannis, G., Konomi, B. A., & Lin, G. (2019). On the
Bayesian calibration of expensive computer models with input
dependent parameters, Spatial Statistics
- Alamaniotis, M., & Karagiannis, G. (2019). Application of
fuzzy multiplexing of learning Gaussian processes for the interval
forecasting of wind speed. IET Renewable Power Generation. –
Special Issue from Medpower 2018.
- Karagiannis, G., Konomi, B. A., Lin, G., & Liang, F. (2017).
Parallel and interacting stochastic approximation annealing
algorithms for global optimisation. Statistics and Computing,
27(4):927–945.
- Konomi, B. A., Karagiannis, G., Lai, K., & Lin, G. (2017).
Bayesian treed calibration: An application to carbon capture with
AX sorbent. Journal of the American Statistical Association,
112(517):37-53.
- Karagiannis, G., & Lin, G. (2017). On the Bayesian
calibration of computer model mixtures through experimental data,
and the design of predictive models. Journal of Computational
Physics, 342:139 - 160.
- Alamaniotis, M., & Karagiannis, G. (2017). Integration of
Gaussian Processes and Particle Swarm Optimization for Very-Short
Term Wind Speed Forecasting in Smart Power. International Journal
of Monitoring and Surveillance Technologies Research (IJMSTR),
5(3), 1-14.
- Karagiannis, G., Konomi, B. A., & Lin, G. (2015). A Bayesian
mixed shrinkage prior procedure for spatial-stochastic basis
selection and evaluation of gPC expansions: Applications to
elliptic SPDEs. Journal of Computational Physics, 284:528
- 546.
- Konomi, B. A., Karagiannis, G., & Lin, G. (2015). On the
Bayesian treed multivariate Gaussian process with linear model of
coregionalization. Journal of Statistical Planning and
Inference, 157-158:1 - 15.
- Zhang, B., Konomi, B. A., Sang, H., Karagiannis, G., & Lin,
G. (2015). Full scale multi-output Gaussian process emulator with
nonseparable auto-covariance functions. Journal of
Computational Physics, 300:623 - 642.
- Karagiannis, G. , & Lin, G. (2014). Selection of polynomial
chaos bases via Bayesian model uncertainty methods with
applications to sparse approximation of PDEs with stochastic
inputs. Journal of Computational Physics, 259:114 - 134.
- Konomi, B. A., Karagiannis, G., Sarkar, A., Sun, X., & Lin,
G. (2014). Bayesian treed multivariate Gaussian process with
adaptive design: Application to a carbon capture unit. Technometrics,
56(2):145- 158.
- Karagiannis, G., & Andrieu, C. (2013). Annealed importance
sampling reversible jump MCMC algorithms. Journal of
Computational and Graphical Statistics, 22(3):623-648.
Published papers in conferences
...
- Deng, W., Feng, Q., Karagiannis, G., Lin, G., & Liang, F.
(2021). Accelerating Convergence of Replica Exchange Stochastic
Gradient MCMC via Variance Reduction. International Conference on
Learning Representations (ICLR'21).
- Alamaniotis, M., Martinez-Molina, A., & Karagiannis, G.
(2021, June). Data Driven Update of Load Forecasts in Smart Power
Systems using Fuzzy Fusion of Learning GPs. In 2021 IEEE Madrid
PowerTech (pp. 1-6). IEEE.
- Alamaniotis, M., & Karagiannis, G. (2019, September).
Elm-fuzzy method for automated decision-making in price directed
electricity markets. In 2019 16th International Conference on the
European Energy Market (EEM) (pp. 1-5). IEEE.
- Alamaniotis, M., & Karagiannis, G. (2019, June). Minute
Ahead Wind Speed Forecasting Using a Gaussian Process and Fuzzy
Assimilation. In 2019 IEEE Milan PowerTech (pp. 1-6). IEEE.
- Alamaniotis, M., & Karagiannis, G. (2018, November).
Learning uncertainty of wind speed forecasting using a fuzzy
multiplexer of Gaussian processes. In Mediterranean Conference on
Power Generation, Transmission, Distribution and Energy Conversion
(MEDPOWER 2018) (pp. 1-6). IET.
- Alamaniotis, M. & Karagiannis, G. (2018), Genetic Driven
Multi-Relevance Vector Regression Forecasting of Hourly Wind Speed
in Smart Power Systems, The Ninth Annual IEEE PES Conference on
Innovative Smart Grid Technology North America. Washington, DC
- Nasiakou, A., Alamaniotis, M., Tsoukalas, L.H. &
Karagiannis, G. (2017), A Three-Stage Scheme for Consumers'
Partitioning Using Hierarchical Clustering Algorithm, 8th
International Conference on Information, Systems and Applications
(IISA). Larnaca, Cyprus, 6.
Book chapters ...
- Alamaniotis, M., & Karagiannis, G. (2023). Toward Smart
Energy Systems: The Case of Relevance Vector Regression Models in
Hourly Solar Power Forecasting. In Fusion of Machine Learning
Paradigms: Theory and Applications (pp. 119-127). Cham: Springer
International Publishing.
- Karagiannis G.P. (2022) Introduction to Bayesian Statistical
Inference. In: Aslett L.J.M., Coolen F.P.A., De Bock J. (eds)
Uncertainty in Engineering. SpringerBriefs in Statistics.
Springer, Cham.
Other published research outputs
...
- Qiu, T., Karagiannis, G., & Lin, G. (August 4, 2016). Model
Selection Using Gaussian Mixture Models and Parallel Computing,
The Summer Undergraduate Research Fellowship (SURF) Symposium,
Paper 142. [Link]
- Karagiannis, G. (2011). AISRJMCMC-Annealed Importance Sampling
within Reversible Jump Markov Chain Monte Carlo algorithm: a
pseudo-marginal reversible jump MCMC algorithm (Doctoral
dissertation, University of Bristol). [Link]
Unpublished research outputs ...
- Karagiannis, G., Andrieu, C. (2009, 2016). Drawing samples from
inverse Wishart distributions conditioning on the 1st block
diagonal sub-matrix; with an application to variable selection on
a GLMM model with nested random effects, GitHub repository
manuscript, [Link]
Presentations
in scientific conferences / meetings ...
- SIAM Conference on Uncertainty Quantification (UQ22), Atlanta,
GA / USA
2022
- UC Mathematics Department Colloquium, University of Cincinnati,
OH / USA
2020
- Departmental seminar, Department of Electrical and Computer
Engineering, UTSA, TX/USA
2020
- Statistics seminar, Department of statistics, AUEB, Greece
2019
- SAMSI program in Model Uncertainty: Mathematical and
Statistical, SAMSI, NC / USA
2018
- International Society for Bayesian Analysis meeting (ISBA2018),
Edinburgh, UK
2018
- SIAM Conference on Uncertainty Quantification (UQ18), Garden
Grove, CA / USA
2018
- Workshop on the Current Trends and Challenges in Data Science
and Uncertainty Quantification, Purdue University, IN / USA
2018
- ACMS Department Colloquium, University of Notre Dame, IN / USA
2016
- ASA Joint Statistical Meetings, Seattle, WA / USA
2015
- IdeaLab 2015, ICERM program, Brown University, RI / USA
2015
- 22nd ASA/IMS 2015 Spring Research Conference (SRC), OH / USA
2015
- UC Mathematics Department Colloquium, University of Cincinnati,
OH / USA
2015
- PNNL Post-doc Symposium, Richland, WA / USA
2014
- CRiSM model uncertainty workshop, University of Warwick, UK
2010
- Greek Stochastics a’ Monte Carlo: Probability and Methods,
Lefkada, Greece
2009
- Research students conference in probability and statistics,
University of Lancaster, UK
2009
- Research students conference in probability and statistics,
University of Nottingham, UK
2008