Assistant Professor · Department of Statistics

Hanna
WdowickaPhD

Statistical modelling.
Probability. Graph algorithms.

Exploring the structure of complex data through statistical methods, mathematical reasoning and computation.

Hanna Wdowicka
Hanna WdowickaDepartment of Statistics

AFFILIATIONPoznań University of Economics and Business

Poznań, Poland

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About

I study how mathematical structure can help us understand complex data and design better computational methods.

I am an assistant professor in the Department of Statistics at Poznań University of Economics and Business. My research interests include statistical modelling, linear mixed models, probability theory and the analysis of graph algorithms.

My work on variable selection focuses on the computational challenges of multilevel models. I also pursue separate research in random trees and graph algorithms, and apply statistical modelling to pedestrian movement.

Institutional profile
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Research

I.

Statistical modelling

Linear mixed and multilevel models, fixed-effect selection and efficient computational strategies for analysing data with complex dependence.

Linear mixed modelsVariable selection
II.

Probability & random structures

Probabilistic analysis of growing trees, total path length, martingale limits and the fluctuations of global structural properties.

Random treesApplied probability
III.

Graph algorithms & optimisation

Theoretical guarantees for online matching and local search, including the effects of uncertainty and the limits of locally optimal assignments.

Online matchingLocal search
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Selected work

ORCID record
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Teaching

From statistical concepts to data analysis.

I teach statistics and data analysis with R at Poznań University of Economics and Business and supervise degree dissertations on local labour markets in Poland.

Descriptive statistics

Describing and visualising data, measures of central tendency and variation, and relationships between variables.

Introduction to R

Getting started with R: working with data, performing basic calculations and presenting results.

Mathematical statistics

Parameter estimation, confidence intervals and hypothesis testing as tools for drawing conclusions from sample data.

Statistics

Methods for describing and analysing data, and interpreting results in social and economic research.

Data analysis with R

Preparing and analysing data in R, visualising results and interpreting them in the context of a research question.

Dissertation seminar

Statistical analysis of local labour markets in Poland: formulating research questions, choosing data and methods, and interpreting the results.

Course information & consultations at PUEB
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Contact

Let’s connect
through research.

For questions about my work or potential research collaboration, please get in touch by email.

Department of Statistics
Poznań University of Economics and Business
Poznań, Poland

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