• 149 Citations
  • 8 h-Index
20022019
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Research Outputs 2002 2019

2019

Identifying clusters in spatial data via sequential importance sampling

Raveendran, N. & Sofronov, G., 1 Jan 2019, Recent advances in computational optimization: results of the Workshop on Computational Optimization WCO 2017. Fidanova, S. (ed.). Switzerland: Springer-VDI-Verlag GmbH & Co. KG, p. 175-189 15 p. (Studies in Computational Intelligence; vol. 795).

Research output: Chapter in Book/Report/Conference proceedingChapterResearchpeer-review

Importance sampling
Epidemiology
Crime
Ecology
Experiments

On asymptotics of optimal stopping times

Lustri, C. & Sofronov, G., 5 Apr 2019, (Submitted) In : arXiv e-prints. 14 p.

Research output: Contribution to journalArticleResearchpeer-review

Optimal Stopping Time
Upper bound
Asymptotic Behavior
Statistics
Optimal Stopping Problem

Which pathways lead to success? Transformation models and change-point detection for the early identification of students at risk

Manuguerra, M. & Sofronov, G., 2019, Proceedings of the 34th International Workshop on Statistical Modelling: Volume II. Meira-Machado, L. & Soutinho, G. (eds.). Guimaraes, Portugal, Vol. 2. p. 212-215 4 p.

Research output: Chapter in Book/Report/Conference proceedingConference proceeding contributionResearchpeer-review

student
learning
detection
methodology
modeling

Анализ выживаемости слоевищ Evernia prunastri (L.) Ach.

Suetina, Y. G., Dmitrieva, S. V., Trubyanov, A. B., Sofronov, G., Ivanov, S. M. & Glotov, N. V., 2019, Современные проблемы медицины и естественных наук: Сборник статей Международной научной конференции. Yoshkar-Ola, Russia: Mari State University, p. 163-164 2 p.

Research output: Chapter in Book/Report/Conference proceedingConference proceeding contributionResearch

2018

An optimal double stopping rule for a buying-selling problem

Sofronov, G. Y., 3 Nov 2018, In : Methodology and Computing in Applied Probability.

Research output: Contribution to journalArticleResearchpeer-review

Stopping Rule
Dependent Observations
Sequential Procedure
Horizon
Random walk
2017

An improved hybrid algorithm for multiple change-point detection in array CGH data

Sofronov, G. Y., Polushina, T. V. & Jayawardana, M. W., 2017, 22nd International Congress on Modelling and Simulation. Syme, G., Hatton MacDonald, D., Fulton, B. & Piantadosi, J. (eds.). mssanz.org.au: Modelling & Simulation Society Australia & New Zealand, p. 508-514 7 p.

Research output: Chapter in Book/Report/Conference proceedingConference proceeding contributionResearchpeer-review

Open Access
Entropy
Genes
Aberrations
Gene expression
Statistical methods

Binary segmentation methods for identifying boundaries of spatial domains

Raveendran, N. & Sofronov, G., 2017, Communication Papers of the 2017 Federated Conference on Computer Science and Information Systems (FedCSIS). Ganzha, M. & Maciaszek, L. (eds.). Poland: Polskie Towarzystwo Informatyczne, Vol. 13. p. 95-102 8 p. (Annals of computer science and information systems; vol. 13). (Annals of computer science and information systems).

Research output: Chapter in Book/Report/Conference proceedingConference proceeding contributionResearchpeer-review

Epidemiology
Crime
Population Genetics

Change-point detection in time series data via the cross-entropy method

Sofronov, G. & Ma, L., 2017, 22nd International Congress on Modelling and Simulation. Syme, G., Hatton MacDonald, D., Fulton, B. & Piantadosi, J. (eds.). mssanz.org.au: Modelling & Simulation Society Australia & New Zealand, p. 195-201 7 p.

Research output: Chapter in Book/Report/Conference proceedingConference proceeding contributionResearchpeer-review

Open Access
Time series
Entropy
Time series analysis
Geology
Computational methods

Optimal exercise strategies for Operational Risk insurance via multiple stopping times

Targino, R. S., Peters, G. W., Sofronov, G. & Shevchenko, P. V., 2017, In : Methodology and Computing in Applied Probability. 19, 2, p. 487-518 32 p.

Research output: Contribution to journalArticleResearchpeer-review

Open Access
File
Operational Risk
Stopping Time
Insurance
Exercise
Annual

Анализ пространственного распределения растений в ценопопуляциях микровидов манжетки (Alchemilla vulgaris L.s.l.)

Zhukova, O. V., Glotov, N. V. & Sofronov, G. Y., 2017, Проблемы популяционной биологии: Материалы XII Всероссийского популяционного семинара памяти Николая Васильевича Глотова (1939–2016). Russia: Mari State University, p. 96-98 3 p.

Research output: Chapter in Book/Report/Conference proceedingConference proceeding contributionResearch

Выживаемость и пути онтогенеза слоевищ эпифитного лишайника эвернии сливовой (Evernia prunastri (L.) Ach.)

Suetina, Y. G., Dmitrieva, S. V., Trubyanov, A. B., Sofronov, G. Y., Ivanov, S. M. & Glotov, N. V., 2017, Проблемы популяционной биологии: Материалы XII Всероссийского популяционного семинара памяти Николая Васильевича Глотова (1939–2016). Russia: Mari State University, p. 220-222 3 p.

Research output: Chapter in Book/Report/Conference proceedingConference proceeding contributionResearch

Регрессионная модель для упорядоченных классов и ее применение при анализе онтогенетической структуры популяций

Ivanov, S. M., Sofronov, G. Y., Suetina, Y. G. & Ryzhova, L. V., 2017, Проблемы популяционной биологии: Материалы XII Всероссийского популяционного семинара памяти Николая Васильевича Глотова (1939–2016). Russia: Mari State University, p. 106-108 3 p.

Research output: Chapter in Book/Report/Conference proceedingConference proceeding contributionResearch

2016

A Cross-entropy method for change-point detection in four-letter DNA sequences

Sofronov, G. & Polushina, T., 2016, 2016 IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology: proceedings. Piscataway, NJ: Institute of Electrical and Electronics Engineers, p. 1-6 6 p.

Research output: Chapter in Book/Report/Conference proceedingConference proceeding contributionResearchpeer-review

DNA sequences
Entropy
Bioinformatics
Genes

A multiple optimal stopping rule for a buying-selling problem with a deterministic trend

Sofronov, G. Y., 1 Dec 2016, In : Statistical Papers. 57, 4, p. 1107-1119 13 p.

Research output: Contribution to journalArticleResearchpeer-review

Optimal Stopping Rule
Deterministic Trend
Sequential Procedure
Independent Random Variables
Horizon

Разнообразие микровидов манжетки (Alchemilla vulgaris L.s.l.) в пределах местообитания

Zhukova, O. V., Glotov, N. V. & Sofronov, G., 2016, Современные проблемы медицины и естественных наук: Сборник статей международной научной конференции. Vol. 5. p. 44-46 3 p.

Research output: Chapter in Book/Report/Conference proceedingConference proceeding contributionResearchpeer-review

Open Access
File
2015

Analysis of correlation structure in bilateral traits

Trubyanov, A. B., Sofronov, G. Y. & Glotov, N. V., 2015, Biological systems, biodiversity, and stability of plant communities. Weisfeld, L. I., Opalko, A. I., Bome, N. A. & Bekuzarova, S. A. (eds.). Canada: Apple Academic Press, p. 425-441 17 p.

Research output: Chapter in Book/Report/Conference proceedingChapterResearchpeer-review

Betula pendula
Betula
sampling
normal distribution

Analysis of ontogenetic spectra of populations of plants and lichens via ordinal regression

Sofronov, G. Y., Glotov, N. V. & Ivanov, S. M., 2015, Symposium on Biomathematics, SYMOMATH 2014: AIP Conference Proceedings. Götz, T. & Suryanto, A. (eds.). Melville, NY: American Institute of Physics, Vol. 1651. p. 118-127 10 p.

Research output: Chapter in Book/Report/Conference proceedingConference proceeding contributionResearchpeer-review

lichens
regression analysis
statistical analysis
proportion
estimates

Hybrid algorithms for multiple change-point detection in biological sequences

Priyadarshana, M., Polushina, T. & Sofronov, G., 2015, In : Advances in Experimental Medicine and Biology. 823, p. 41-61 21 p.

Research output: Contribution to journalArticleResearchpeer-review

Comparative Genomic Hybridization
DNA sequences
Entropy
Genes
Human Genome

Multiple Break-Points Detection in Array CGH Data via the Cross-Entropy Method

Priyadarshana, W. J. R. M. & Sofronov, G., 1 Mar 2015, In : IEEE/ACM Transactions on Computational Biology and Bioinformatics. 12, 2, p. 487-498 12 p., 6917020.

Research output: Contribution to journalArticleResearchpeer-review

Cross-entropy Method
Entropy
Genes
Genome
Comparative Genomic Hybridization

Statistical analysis of spatial distribution in populations of microspecies of Alchemilla L.

Sofronov, G. Y., Glotov, N. V. & Zhukova, O. V., 2015, Proceedings of the 30th International Workshop on Statistical Modelling. Friedl, H. & Wagner, H. (eds.). Linz, Austria: Statistical Modelling Society, Vol. 2. p. 259-262 4 p.

Research output: Chapter in Book/Report/Conference proceedingConference proceeding contributionResearch

Alchemilla
statistical analysis
spatial distribution

The Analysis of ontogenetic spectrum of heterogeneous population

Glotov, N. V., Sofronov, G. Y., Ivanov, S. M., Suetina, Y. G., Prokopyeva, L. V. & Teplykh, A. A., 2015, Biological systems, biodiversity, and stability of plant communities. Weisfeld, L. I., Opalko, A. I., Bome, N. A. & Bekuzarova, S. A. (eds.). Canada: Apple Academic Press, p. 443-461 19 p.

Research output: Chapter in Book/Report/Conference proceedingChapterResearchpeer-review

Vaccinium vitis-idaea
Hypogymnia physodes
sampling
lichens
principal component analysis
2014

Change-point detection in binary Markov DNA sequences by the cross-entropy method

Polushina, T. & Sofronov, G., 21 Oct 2014, 2014 Federated Conference on Computer Science and Information Systems, FedCSIS 2014. Piscataway, NJ: Institute of Electrical and Electronics Engineers (IEEE), Vol. 2. p. 471-478 8 p. 6933053. (ACSIS-Annals of Computer Science and Information Systems; vol. 2).

Research output: Chapter in Book/Report/Conference proceedingConference proceeding contributionResearchpeer-review

Binary sequences
DNA
Entropy
Seismology
Speech processing

Ontogeneticheskiye spektry populyatsiy epifitnogo lishaynika Pseudevernia furfuracea (L.) Zopf

Glotov, N. V., Sofronov, G. Y., Ivanov, S. M., Teplykh, A. A. & Suetina, Y. G., 2014, In : Modern problems of science and education. 3, p. 1-10 10 p.

Research output: Contribution to journalArticleResearchpeer-review

lichen
comparison
2013

A hybrid algorithm for multiple change-point detection in continuous measurements

Priyadarshana, W. J. R. M., Polushina, T. & Sofronov, G., 2013, In : AIP Conference Proceedings. 1559, p. 108-117 10 p.

Research output: Contribution to journalConference paperResearchpeer-review

genome
progressions
deoxyribonucleic acid
methodology
entropy

A hybrid algorithm for spatial small area estimation under models with complex contiguity

Sofronov, G., 2013, 2013 IEEE Symposium on Differential Evolution (SDE 2013). Piscataway, NJ: Institute of Electrical and Electronics Engineers (IEEE), p. 25-30 6 p. 6601438

Research output: Chapter in Book/Report/Conference proceedingConference proceeding contributionResearchpeer-review

Farms
Entropy
Economics
Monte Carlo simulation

A hybrid genetic algorithm for change-point detection in binary biomolecular sequences

Polushina, T. V. & Sofronov, G. Y., 2013, IASTED Multiconferences - Proceedings of the IASTED International Conference on Artificial Intelligence and Applications, AIA 2013. Klement, E. P., Borutzky, W., Fahringer, T., Hamza, M. H. & Uskov, V. (eds.). Calgary, AB: ACTA Press, p. 1-8 8 p.

Research output: Chapter in Book/Report/Conference proceedingConference proceeding contributionResearchpeer-review

Binary sequences
DNA
Genes
Genetic algorithms
Seismology

An optimal sequential procedure for a multiple selling problem with independent observations

Sofronov, G., 1 Mar 2013, In : European Journal of Operational Research. 225, 2, p. 332-336 5 p.

Research output: Contribution to journalArticleResearchpeer-review

Sequential Procedure
Sales
Horizon
Maximise
Observation

Evaluating optimal stopping rules in the multiple best choice problem using the cross-entropy method

Sofronov, G. Y. & Polushina, T. V., 2013, IASTED Multiconferences - Proceedings of the IASTED International Conference on Modelling, Identification and Control, MIC 2013. Klement, E. P., Borutzky, W., Hamza, M. H. & Uskov, V. (eds.). Calgary, AB: ACTA Press, p. 205-212 8 p.

Research output: Chapter in Book/Report/Conference proceedingConference proceeding contributionResearchpeer-review

Optimal Stopping Rule
Cross-entropy Method
Decision theory
Entropy
Experiments

GAMLSS and extended Cross-Entropy method to detect multiple change-points in DNA read count data

Priyadarshana, M. W. J. R. & Sofronov, G., 2013, Proceedings of the 28th International Workshop on Statistical Modelling. Muggeo V. M. R, Capursi, V., Boscaino, G. & Lovison, G. (eds.). Palermo, Italy: Università di Palermo, Vol. 1. p. 453-457 5 p.

Research output: Chapter in Book/Report/Conference proceedingConference proceeding contributionResearchpeer-review

DNA
Entropy
Genes

Monte Carlo methods in spatio-temporal regression modeling of migration in the EU

Manuguerra, M., Sofronov, G., Tani, M. & Heller, G., 2013, Proceedings of the 2013 IEEE Conference on Computational Intelligence for Financial Engineering and Economics, CIFEr 2013 - 2013 IEEE Symposium Series on Computational Intelligence, SSCI 2013. Piscataway, NJ: Institute of Electrical and Electronics Engineers (IEEE), p. 128-134 7 p. 6611708

Research output: Chapter in Book/Report/Conference proceedingConference proceeding contributionResearchpeer-review

Monte Carlo methods
Markov processes
Personnel
Economics
Monte Carlo method

Кoррeляциoннaя структурa билaтeрaльных признaкoв

Trubyanov, A. B., Sofronov, G. Y. & Glotov, N. V., 2013, Principles and methods of biodiversity conservation: proceedings of the Fifth International Research Conference. Voskresenskaya, O. L. & Zhukova, L. A. (eds.). Yoshkar-Ola, Russia: Mari State University, Vol. 2. p. 208-211 4 p.

Research output: Chapter in Book/Report/Conference proceedingConference proceeding contributionResearchpeer-review

Примeнeниe мeтoдa глaвных кoмпoнeнт при aнaлизe oнтoгeнeтичeских спeктрoв пoпуляций

Ivanov, S. M., Sofronov, G. Y. & Glotov, N. V., 2013, Principles and methods of biodiversity conservation: proceedings of the Fifth International Research Conference. Voskresenskaya, O. L. & Zhukova, L. A. (eds.). Yoshkar-Ola, Russia: Mari State University, Vol. 2. p. 197-202 6 p.

Research output: Chapter in Book/Report/Conference proceedingConference proceeding contributionResearchpeer-review

2012

A modified cross-entropy method for detecting change-points in the Sri-Lankan stock market

Priyadarshana, M. & Sofronov, G. Y., 2012, Proceedings of the IASTED International Conference on Engineering and Applied Science, EAS 2012. Chen, B. M., Khan, M. T. & Tan, K-K. (eds.). Calgary, Canada: ACTA Press, p. 319-326 8 p.

Research output: Chapter in Book/Report/Conference proceedingConference proceeding contributionResearchpeer-review

Time series
Entropy
Economics
Financial markets
Costs

A modified cross entropy method for detecting multiple change points in DNA count data

Priyadarshana, M. & Sofronov, G., 2012, 2012 IEEE Congress on Evolutionary Computation, CEC 2012. Piscataway, N.J: Institute of Electrical and Electronics Engineers (IEEE), p. 1-8 8 p. 6256470

Research output: Chapter in Book/Report/Conference proceedingConference proceeding contributionResearchpeer-review

Cross-entropy Method
Count Data
Change Point
DNA
Entropy

Monte Carlo methods in spatio-temporal regression modelling of migration in the EU

Manuguerra, M., Sofronov, G. & Heller, G. Z., 2012, p. 116. 1 p.

Research output: Contribution to conferenceAbstractResearch

Markov chain
modeling
geostatistics
autocorrelation
travel time

Sequential change-point detection via the Cross-Entropy method

Sofronov, G., Polushina, T. & Priyadarshana, M., 2012, 11th Symposium on Neural Network Applications in Electrical Engineering,NEUREL 2012 - Proceedings. Piscataway, N.J.: Institute of Electrical and Electronics Engineers (IEEE), p. 185-188 4 p. 6420004

Research output: Chapter in Book/Report/Conference proceedingConference proceeding contributionResearchpeer-review

Climatology
Speech processing
entropy
Fault detection
Image processing

Spatial modelling in small area estimation via the cross-entropy method

Sofronov, G., 2012, p. 64. 1 p.

Research output: Contribution to conferenceAbstractResearch

entropy
population characteristics
modeling
local government
farm

The Cross-Entropy method and multiple change-points detection in zero-inflated DNA read count data

Priyadarshana, W. J. R. M. & Sofronov, G., 2012, Proceedings of the 4th International Conference on Computational Methods: ICCM 2012. Gu, Y. & Saha, S. C. (eds.). Brisbane: Queensland University of Technology, p. 1-8 8 p.

Research output: Chapter in Book/Report/Conference proceedingConference proceeding contributionResearchpeer-review

DNA
Entropy
Processing
Statistical Models
2011

Change-point detection in biological sequences via genetic algorithm

Polushina, T. & Sofronov, G., 2011, 2011 IEEE Congress of Evolutionary Computation, CEC 2011. Piscataway, N.J.: Institute of Electrical and Electronics Engineers (IEEE), p. 1966-1971 6 p. 5949856

Research output: Chapter in Book/Report/Conference proceedingConference proceeding contributionResearchpeer-review

Change-point Detection
Change Point
Genes
Genetic algorithms
Genetic Algorithm

Change-point modelling in biological sequences via the bayesian adaptive independent sampler

Sofronov, G., 2011, Computer communication and management: selected, peer reviewed papers from the 2011 International Conference on Computer Communication and Management (ICCCM 2011), May 2-3, Sydney Australia. Ting, Z. (ed.). Sydney: IACSIT Press, p. 122-126 5 p. (International Proceedings of Computer Science and Information Technology).

Research output: Chapter in Book/Report/Conference proceedingConference proceeding contributionResearchpeer-review

Seismology
Speech processing
Fault detection
Markov processes
Image processing

Estimating change-points in biological sequences via the cross-entropy method

Evans, G. E., Sofronov, G. Y., Keith, J. M. & Kroese, D. P., Sep 2011, In : Annals of Operations Research. 189, 1, p. 155-165 11 p.

Research output: Contribution to journalArticleResearchpeer-review

Cross-entropy
Change point
Usefulness
Segmentation
Protein
2010

Spatial small area estimation: a comparison of Non-parametric EBLUP and M-quantile GWR models

Sofronov, G., 2010, International Workshop on Statistical Modelling. Adrian W. Bowman (ed.). Glasgow, UK: The University of Glasgow, p. 509-514 6 p.

Research output: Chapter in Book/Report/Conference proceedingConference proceeding contributionResearchpeer-review

2009

Identifying Change-Points in Biological Sequences via Sequential Importance Sampling

Sofronov, G. Y., Evans, G. E., Keith, J. M. & Kroese, D. P., Sep 2009, In : Environmental Modeling and Assessment. 14, 5, p. 577-584 8 p.

Research output: Contribution to journalArticleResearchpeer-review

genome
sampling
Markov chain
genomics
DNA

Multiple Best Choice Problems

Nikolaev, M., Sofronov, G. & Polushina, T., 2009, The Proceedings of the second International Workshop on Sequential Methodologies.

Research output: Chapter in Book/Report/Conference proceedingConference proceeding contributionResearch

2008

Adaptive independence samplers

Keith, J. M., Kroese, D. P. & Sofronov, G. Y., Dec 2008, In : Statistics and Computing. 18, 4, p. 409-420 12 p.

Research output: Contribution to journalArticleResearchpeer-review

Metropolis-Hastings Algorithm
Markov processes
Markov Chain Monte Carlo
Updating
Cross-entropy

The generalized gibbs sampler and the neighborhood sampler

Keith, J., Sofronov, G. & Kroese, D., 2008, Monte Carlo and Quasi-Monte Carlo methods 2006. Keller, A., Heinrich, S. & Niederreiter, H. (eds.). Berlin: Springer, Springer Nature, p. 537-547 11 p.

Research output: Chapter in Book/Report/Conference proceedingConference proceeding contributionResearchpeer-review

2007

A multiple optimal stopping rule for sums of independent random variables

Nikolaev, M. L. & Sofronov, G. Y., 11 Dec 2007, In : Discrete Mathematics and Applications. 17, 5, p. 463-473 11 p.

Research output: Contribution to journalArticleResearchpeer-review

Optimal Stopping Rule
Sums of Independent Random Variables
Ecology
Random variables
Sales

Bayesian inference in estimation of distribution algorithms

Gallagher, M., Wood, I., Keith, J. & Sofronov, G., 2007, 2007 IEEE Congress on Evolutionary Computation, CEC 2007. Piscataway, N.J: Institute of Electrical and Electronics Engineers (IEEE), p. 127-133 7 p. 4424463

Research output: Chapter in Book/Report/Conference proceedingConference proceeding contributionResearchpeer-review

Open Access
File
Bayesian inference
Maximum likelihood
Maximum Likelihood
Cross-entropy Method
Probabilistic Modeling

Identifying change-points in biological sequences via sequential importance sampling

Sofronov, G. Y., Evans, G. E., Keith, J. M. & Kroese, D. P., 2007, MODSIM 2007 International congress on Modelling and Simulation: Land, Water and Environmental Management: Integrated Systems for Sustainability. Oxley, L. & Kulasiri, D. (eds.). Christchurch, NZ: Modelling & Simulation Society Australia & New Zealand, p. 2917-2923 7 p.

Research output: Chapter in Book/Report/Conference proceedingConference proceeding contributionResearchpeer-review

Zadacha posledovatel'nogo vybora neskol'kikh ob'yektov s zadannymi rangami

Nikolaev, M. L., Sofronov, G. Y. & Polushina, T. V., 2007, In : Izvestiya Vysshikh Uchebnykh Zavedenii. Severo-Kavkazskii Region. Estestvennye Nauki. 4, p. 11-14 4 p.

Research output: Contribution to journalArticleResearchpeer-review