R. Różański, G. Chłapiński, M. Hławka, K. Jamróz, M. Kawecki, A. Zagdański (2018). Prediction intervals and regions for multivariate time series models with sieve bootstrap. Probability and Mathematical Statistics, Vol. 38, Fasc. 2 (2018), pp.317–357.
Roś-Mazurczyk M., Jelonek K., Pietrowska M., Zagdański A., Suchwałko A., Jastrząb T., Polańska J., Chawińska E., Majewski W., Domińczyk I., Rutkowski T., Miszczyk L., Składowski K., Widlak P. (2016). Radiotherapy-Induced Changes in Serum Lipid Profile of Patients with Prostate or Head and Neck Cancer. Jacobs Journal of Radiation Oncology, 2016, 3(2):030.
Jelonek K., Pietrowska M., Ros M., Zagdanski A., Suchwalko A., Polanska J., Marczyk M., Rutkowski T., Skladowski K., Clench M.R., Widlak P. (2014). Radiation-Induced Changes in Serum Lipidome of Head and Neck Cancer Patients. Int. J. Mol. Sci. 15, 6609-6624, 2014.
Marcin Hławka and Adam Zagdański (2013). Model selection criteria for reduced rank multivariate time series: a simulation study. Journal of Statistical Computation and Simulation, 2013.
R. Kustra and A. Zagdanski (2010). Data-Fusion in Clustering Microarray Data: Balancing Discovery and Interpretability. ACM/IEEE Transactions on Computational Biololgy and Bioinformatics, 7(1):50-63, 2010.
A. Zagdański and R. Kustra (2008). Exploration of High-dimensional Time Series Using Regularized Reduced Rank Approach: Application in Time-course Microarray. Proceedings of IADIS European Conference on Data Mining (ECDM2008), part of the IADIS Multi Conference on Computer Science and Information Systes 2008, Amsterdam, The Netherlands, July 22-27, 2008.
R. Kustra and A. Zagdański, Incorporating Gene Ontology in Clustering Gene Expression Data, 19th IEEE Symposium on Computer-Based Medical Systems (CBMS’06), 2006.
R. Różański and A. Zagdański, Estimation of the drift function for Ito processes and some class of semimartingales via histogram sieve, Applicationes Mathematicae, vol.33, 2006.
A. Zagdański, On the construction and properties of bootstrap-t prediction intervals for stationary time series, Probability and Mathematical Statistics, vol.25, 2005.
R. Różański and A. Zagdański, On the consistency of sieve bootstrap prediction intervals for stationary time series, Discussiones Mathematicae Probability and Statistics, vol.24, 2004.
A. Zagdański, On the application of the method of sieves in estimation of the intensity of multiplicative point processes, Scientific Papers of the Institute of Mathematics, I Conference for Young Mathematicians, 2001.
A. Zagdański, Prediction intervals for stationary time series using the sieve bootstrap method, Demonstratio Mathematica, vol.34, No.2, 2001.
R. Różański and A. Zagdański, On estimation in the multiplicative intensity model via histogram sieve, Probability and Mathematical Statistics, vol.21, 2001.
A. Zagdański, Using the sieve bootstrap method in time series analysis, Operations Research Proceedings 1999, Springer.
P.Biecek, A.Suchwalko and A.Zagdanski (2005). New Quality of learning - relization of a complex didactic platform (in Polish). Nowe media w edukacji. Osiągnięcia pracowników Politechniki Wrocławskiej w zakresie nauczania z wykorzystaniem nowych mediów. Oficyna Wydawnicza Politechniki Wrocławskiej, 2005.
Adam Zagdanski (1999). Prediction Intervals for Stationary Time Series Using the Sieve Bootstrap Method. InterStat. Statistics on the Internet. June 1999.