Aliaksandr Hubin

Bilde av Aliaksandr Hubin
English version of this page
Mobiltelefon 45171361
Rom 824
Brukernavn
Besøksadresse Ullevål stadion Sognsveien 77 B 0855 OSLO
Postadresse Postboks 1053 Blindern 0316 OSLO
Andre tilknytninger Det matematisk-naturvitenskapelige fakultet (Student)

Date and Place of Birth

04.05.1990, Minsk, Republic of Belarus

Academic interests

Statistics, Biostatistics, Operations Research, Financial Statistics, Computer Science.

courses taught

STK2130 - Modeling at Stochastic Processes (plenary sessions and exercises)

STK3100 - Introduction to generalized linear models (exercises)

STK4900 - Statistical methods and applications (plenary sessions and exercises)

Academic Background

Specialist's degree:

2008-2013 Belarusian State University

Faculty of Applied Mathematics and Computer Science

Specialty: Economic Cybernetics (mathematical methods and computer based modeling in economy)

Research Thesis: "Methods and tools of investment management in conditions of international diversity"

Master of Science degree:

2012-2014 Molde University College - Specialized University in Logistics

Faculty of Economics, Informatics and Social Research

Specialty: Industrial Logistics (Operations Research & Operational Management)

Research Thesis: "Evaluation of Supply Vessel schedules robust ness with a posteriori improvements"

Awards

Project

Positions held

Business Analyst at compatibles , 2011-2012
Emneord: Statistikk og biostatistikk

Publikasjoner

1. A. Hubin, Evaluating effectiveness of Black-Litterman model in conditions of heterogeneous expectations of investors .

Student and Postgraduate 70th scientific conference at Belarusian State University, May 16-18. 2013, Minsk. - Mn.: BSU, 2013 Part 1 P 171-174

2. A. Hubin, Development of multi-functional software for optimal portfolio investment.

Problems of Forecasting and State Regulation of Social and Economic Development: Proceedings of the XIII International Scientific Conference, 25-26 October. 2012, Minsk. - Mn., INAH 2012 Volume 2. - P. 217-219

3. A. Hubin, Development of multi-functional software for optimal portfolio investment .

Student and Postgraduate 69th scientific conference at Belarusian State University, May 14-17. 2012, Minsk. - Mn., BSU, 2012 Part 1. - P. 173-176.

4.  A. Hubin and G. Storvik. Efficient mode jumping MCMC for Bayesian variable selection in GLMM.

ArXiv ArXiv: 1604.06398v1, 2016.


5. A. Hubin and G. Storvik. On mode jumping in MCMC for Bayesian variable selection within  GLMM.

Computer Data Analysis and Modeling: Complex Stochastic Data and Systems. Proceedings of the 11th International Conference, Volume 1, ISBN 978-985-553-366-6. Belarusian State University, Minsk, 2016.

6.  A. Hubin and G. Storvik. Estimating the marginal likelihood with integrated nested Laplace approximations (INLA).

ArXiv  ArXiv: 1611.01450v1 , 2016.

7. A. Hubin, G. Storvik and F. Frommlet. A novel algorithmic approach two Bayesian Logic Regression.

ArXiv  ArXiv: 1705.07616, 2017.

Se alle arbeider i Cristin

  • Hubin, Aliaksandr & Storvik, Geir Olve (2017). Efficient mode jumping MCMC for Bayesian variable selection and model averaging in GLMM.
  • Hubin, Aliaksandr; Storvik, Geir Olve & Frommlet, Florian (2017). A novel GMJMCMC algorithm for Bayesian Logic Regression models.
  • Hubin, Aliaksandr; Storvik, Geir Olve & Frommlet, Florian (2017). A novel algorithmic approach to Bayesian Logic Regression.
  • Hubin, Aliaksandr; Storvik, Geir Olve & Frommlet, Florian (2017). A novel algorithmic approach to Bayesian Logic Regression.
  • Hubin, Aliaksandr; Storvik, Geir Olve & Frommlet, Florian (2017). Deep non-linear regression models in a Bayesian framework.
  • Hubin, Aliaksandr; Storvik, Geir Olve & Grini, Paul Eivind (2017). Variable selection in binomial regression with latent Gaussian field models for analysis of epigenetic data.
  • Hubin, Aliaksandr & Storvik, Geir Olve (2016). Efficient mode jumping MCMC for Bayesian variable selection in GLM with random effects models.
  • Hubin, Aliaksandr & Storvik, Geir Olve (2016). On Mode Jumping in MCMC for Bayesian Variable Selection within GLMM.
  • Hubin, Aliaksandr & Storvik, Geir Olve (2016). VARIABLE SELECTION IN BINOMIAL REGRESSION WITH LATENT GAUSSIAN FIELD MODELS FOR ANALYSIS OF EPIGENETIC DATA.
  • Hubin, Aliaksandr & Storvik, Geir Olve (2016). Variable selection in logistic regression with a latent Gaussian field models with an application in epigenomics.
  • Hubin, Aliaksandr (2015). Statistics for Epigenetics.
  • Hubin, Aliaksandr & Storvik, Geir Olve (2015). On model selection in Hidden Markov Models with covariates.
  • Hubin, Aliaksandr & Storvik, Geir Olve (2015). Variable selection in binomial regression with a latent Gaussian field models for analysis of epigenetic data.
  • Hubin, Aliaksandr & Storvik, Geir Olve (2015). Variable selection in binomial regression with a latent Gaussian field models for analysis of epigenetic data.
  • Hubin, Aliaksandr; Norlund, Ellen Karoline & Gribkovskaia, Irina (2014). Evaluating robustness of speed optimized supply vessel schedules. Vis sammendrag

Se alle arbeider i Cristin

Publisert 7. aug. 2014 10:13 - Sist endret 22. des. 2017 13:20