Tatjana Pavlenko
Professor vid Statistiska institutionen
- E-post:
- tatjana.pavlenko@statistik.uu.se
- Besöksadress:
- Ekonomikum (plan 3)
Kyrkogårdsgatan 10 - Postadress:
- Box 513
751 20 UPPSALA
Ladda ned kontaktuppgifter för Tatjana Pavlenko vid Statistiska institutionen
Kort presentation
Tatjana Pavlenko's research interests lie in the area of applied probability and statistical inference in high and infinite dimensions, computational statistics - especially Bayesian graph structure learning, high-dimensional problems in statistical machine learning, detection and identification of sparse signals, with applications to large-scale biomedical data.
Google scholar link
Nyckelord
- high-dimensional statistical inference
- statistical machine learning
- sparse signal detection
- large-scale biomedical data
- multivariate data more broadly
Publikationer
Senaste publikationer
-
Selection of signal-bearing subcompositions with application to human microbiome studies
Ingår i EURASIP Journal on Advances in Signal Processing, 2026
- DOI för Selection of signal-bearing subcompositions with application to human microbiome studies
- Ladda ner fulltext (pdf) av Selection of signal-bearing subcompositions with application to human microbiome studies
-
Ingår i Theory of Probability and Mathematical Statistics, s. 129-158, 2023
-
Graphical posterior predictive classification: Bayesian model averaging with particle gibbs
Ingår i Theory of Probability and Mathematical Statistics, s. 81-99, 2023
-
A Behrens-Fisher problem for general factor models in high dimensions
Ingår i Journal of Multivariate Analysis, 2023
-
Adaptive threshold-based classification of sparse high-dimensional data
Ingår i Electronic Journal of Statistics, s. 1952-1996, 2022
- DOI för Adaptive threshold-based classification of sparse high-dimensional data
- Ladda ner fulltext (pdf) av Adaptive threshold-based classification of sparse high-dimensional data
Alla publikationer
Artiklar i tidskrift
-
Selection of signal-bearing subcompositions with application to human microbiome studies
Ingår i EURASIP Journal on Advances in Signal Processing, 2026
- DOI för Selection of signal-bearing subcompositions with application to human microbiome studies
- Ladda ner fulltext (pdf) av Selection of signal-bearing subcompositions with application to human microbiome studies
-
Ingår i Theory of Probability and Mathematical Statistics, s. 129-158, 2023
-
Graphical posterior predictive classification: Bayesian model averaging with particle gibbs
Ingår i Theory of Probability and Mathematical Statistics, s. 81-99, 2023
-
A Behrens-Fisher problem for general factor models in high dimensions
Ingår i Journal of Multivariate Analysis, 2023
-
Adaptive threshold-based classification of sparse high-dimensional data
Ingår i Electronic Journal of Statistics, s. 1952-1996, 2022
- DOI för Adaptive threshold-based classification of sparse high-dimensional data
- Ladda ner fulltext (pdf) av Adaptive threshold-based classification of sparse high-dimensional data
-
Sequential sampling of junction trees for decomposable graphs
Ingår i Statistics and computing, 2022
- DOI för Sequential sampling of junction trees for decomposable graphs
- Ladda ner fulltext (pdf) av Sequential sampling of junction trees for decomposable graphs