Publications

• T. Cakala, B. Miasojedow, W. Niemiro, Particle MCMC with Poisson resampling: parallelization and continuous time models. Journal of Computational and Graphical Statistics, to appear (2020). Supplemental Material


• B. Miasojedow, W. Niemiro, W. Rejchel, Asymptotics of maximum likelihood estimators based on Markov chain Monte Carlo methods. Annales de l'Institut Henri Poincare (B) Probability and Statistics, to appear (2020).


• W. Niemiro, Fixed relative precision estimators of growth rate for compound Poisson and Levy processes. Statistics and Probability Letters 153 (2019), 151-156.


• J. Tomczyk, J. Nieczuja-Dwojacka, M. Zalewska, W. Niemiro, W. Olczyk, Sex estimation of upper long bones by selected measurements in a Radom (Poland) population from the 18th and 19th centuries AD. Anthropological Review 80 (2017), 3, 287-300.


• B. Miasojedow, W. Niemiro, Geometric ergodicity of Rao and Teh's algorithm for Markov jump processes and CTBNs. Electronic Journal of Statistics 11 (2017), 2, 4629-4648.


• B. Miasojedow, W. Niemiro, Geometric ergodicity of Rao and Teh's algorithm for homogeneous Markov jump processes. Statistics and Probability Letters 113 (2016), 1–6.


• B. Miasojedow, W. Niemiro, J. Palczewski, W. Rejchel, Asymptotics of Monte Carlo Maximum Likelihood Estimators. Probability and Mathematical Statistics 36 (2016), 2, 295-310.


• B. Miasojedow, W. Niemiro, J. Palczewski, W. Rejchel, Adaptive Monte Carlo Maximum Likelihood. In: Studies in Computational Intelligence (2015), issue "Challenges in Statistics and Data Mining", (S. Matwin, J. Mielniczuk, Eds.), Springer, 247-270.


• K. Latuszynski, B. Miasojedow, W. Niemiro, Nonasymptotic bounds on the estimation error of MCMC algorithms. Bernoulli Journal 19 (2013) 2033--2066.


• L. Gajek, W. Niemiro and P. Pokarowski, Optimal Monte Carlo integration with fixed relative precision. Journal of Complexity 29 (2013), 4-26.


• M. Zalewska, K. Furmanczyk, S. Jaworski, W. Niemiro, B. Samolinski, The Prevalence of Asthma and Declared Asthma in Poland on the Basis of ECAP Survey Using Correspondence Analysis. Computational and Mathematical Methods in Medicine (2013).


• K. Latuszynski, B. Miasojedow, W. Niemiro, \textbf{Nonasymptotic bounds on the mean square error for MCMC estimates via renewal techniques. Proceedings of MCQMC, Warsaw 2010 (L. Plaskota and H. Wozniakowski, Eds.) Springer Proceedings in Mathematics and Statistics 23 (2012), 539--555.


• W. Niemiro, R. Zielinski, Remarks on Uniform Convergence of Random Variables and Statistics. Demonstratio Mathematica (2012), 2, 265--274.


• W. Niemiro, J. Wesolowski, Linear estimation and prediciton under model-design approach with small area effects. Statistics 46, 4, (2012), 523--547.


• K. Latuszynski, W. Niemiro, Rigorous confidence bounds for MCMC under a geometric drift condition. Journal of Complexity 27 (2011), 23--38.


• W. Niemiro, J. Wesolowski, Synthetic and composite estimation under a superpopulation model. Statistical Papers 51 (2010), 497--509.


• M. Zalewska, W. Niemiro, B. Samolinski, MCMC imputation in autologistic model. Monte Carlo Methods and Applications 16 (2010), 421--438.


• W. Niemiro, W. Rejchel, Rank correlation estimators and their limiting distributions. Statistical Papers 50 (2009), 887-893.


• W. Niemiro and P. Pokarowski, Fixed Precision MCMC estimation by Median of Products of Averages. . Journal of Applied Probability 46, 2 (2009), 309-329.


• B. Kluge, A. Gambin, W. Niemiro, Modeling exopeptidase activity from LC-MS data. Journal of Computational Biology 16, 2 (2009), 395-406.


• M. Zalewska, A. Grzanka, W. Niemiro, B. Samolinski, A new method for identifying outlying subsets. Control and Cybernetics 37, 3 (2008) 693-710.


• W. Niemiro, R. Zielinski, Uniform asymptotic normality for the Bernoulli scheme. Applicationes Mathematicae 34, 2 (2007), 215-221.


• K. Latuszynski, W. Niemiro, (epsilon-alpha)-MCMC approximation under drift condition. Proceedings of 6th Workshop on Rare Event Simulation (RESIM'06), (2006), 286--294.


• W. Niemiro, Bayesian Prediction with an Asymmetric Criterion in a Nonparametric Model of Insurance Risk. Statistics 40, 4 (2006), 353--363.


• A. Groniowska, W. Niemiro, Controlled risk processes in discrete time: Lower and upper approximations to the optimal probability of ruin. Insurance: Mathematics and Economics 36, (2005), 433-440.


• J. Koronacki, S. Lasota, W. Niemiro, Positron Emission Tomography by Markov Chain Monte Carlo with Auxiliary Variables. Pattern Recognition 38 (2005), 241-250.


• S. Lasota, W. Niemiro, A version of the Swendsen-Wang algorithm for restoration of images degraded by Poisson noise. Pattern Recognition 36 (2003), 931-941.


• W. Niemiro, J. Wesolowski, Fixed precision optimal allocation in two-stage sampling. Applicationes Mathematicae 28, 1 (2001), 73-82.


• W. Niemiro, Linear classification models with random effects in credibility theory (in Polish). Roczniki Kolegium Analiz Ekonomicznych SGH 8 (2000), 102--114.


• W. Niemiro, Nonparametric Bayesian approach to credibility. Proceedings of14th International Workshop on Statistical Modelling, Graz, Austria, July 1999, ed. H. Friedl, A. Berhold, G. Kauermann (1999), 59--596.


• K. Furmanczyk, W. Niemiro, Sufficiency in Bayesian models. Applicationes Mathematicae 25, 1 (1998), 113--120.


• J. Bartkiewicz, W. Niemiro, A comparison of some MANOVA - type tests based on least distances. Communications in Statistics 27, 2 (1998), 403--430.


• W. Niemiro}, P. Pokarowski, Tail events of some non-homogeneous Markov chains. Annals of Applied Probabability 5, 1 (1995), 261--293.


• W. Niemiro, Tail events of simulated annealing Markov chains. Journal of Applied Probability 32 (1995), 867--876.


• W. Niemiro, Limit distributions of simulated annealing Markov chains. Discussiones Mathematicae -- Algebra and Stochastic Methods 15 (1995), 241-269.


• W. Niemiro, Estimation of nuisance parameters for inference based on least absolute deviations. Applicationes Mathematicae 22, 4 (1995), 515--529.


• W. Niemiro}, Least empirical risk procedures in statistical inference. Applicationes Mathematicae 22, 1 (1993), 55-67.


• W. Niemiro, Asymptotics for $M$-estimators defined by convex minimization. Annals of Statistics 20, 3 (1992) 1514--1533.


• T. Bromek, W. Niemiro, Decision-theoretical foundations of discriminant analysis (in Polish). Matematyka Stosowana XXXV (1992), 93-119.


• U. Luboinska, W. Niemiro, On inference concerning binary latent trait (in Polish). Matematyka Stosowana XXXIV (1991), 23-36.


• W. Niemiro, L1-optimal statistical discrimination procedures and their asymptotic properties (in Polish). Matematyka Stosowana XXXI (1989), 57-89.


• U. Luboinska, W. Niemiro, Discriminant functions in multivariate normal models with contamination. Proceedings of Second Seminar "Statistical Methods of Identification", Sobotka (1988), 93-109.


• L. Bobrowski, W. Niemiro, H. Wasyluk, Some technique of linear discrimination with the application to analysis of thyroid diseases diagnosis. Biocybernetics and Biomededical Engineering 7, 1-4 (1987), 23-32.


• W. Niemiro, Linear discrimination via minimization of the perceptron criterion function: statistical properties of the method (in Polish). Prace IBIB PAN 23 (1987).


• L. Bobrowski, W. Niemiro, A method of synthesis of linear discriminant function in the case of nonseparability. Pattern Recognition 17, 2 (1984), 205-210.


• L. Bobrowski, W. Niemiro, H. Wasyluk, Selection of medical tests based on linear nonseparability of data; a study on evaluation of liver diseases tests. Computers in Biology and Medicine 14, 2 (1984), 237-243.


• W. Niemiro, On the existence of exponential moments of Rademacher sums. Colloquium Mathematicum XLVIII, 1 (1984), 145-148.