1. Morvai G., Weiss B., A note on the Rényi criterion for Poisson processes and their identification. ALEA, Lat. Am. J. Probab. Math. Stat. Vol. 19, pp. 1753–1765, 2022. .pdf; .pdf;
2. Morvai G., Weiss B., Intermittent Estimation for Finite Alphabet Finitarily Markovian Processes with Exponential Tails. Kybernetika, Vol. 57, no. 4, pp. 628-646, 2021. .pdf; .pdf;
3. Morvai G., Weiss B., Consistency, integrability and asymptotic normality for some intermittent estimators. ALEA, Lat. Am. J. Probab. Math. Stat. Vol. 18, pp. 1643–1667, 2021. .pdf;
4. Morvai G., Weiss B., On universal algorithms for classifying and predicting stationary processes. Probability Surveys, Vol. 18, pp. 77-131, 2021. .pdf; .pdf;
5. Morvai G., Weiss B., Universal rates for estimating the residual waiting time in an intermittent way. Kybernetika, Volume: 56 no. 4, pp. 601-616, 2020. .pdf; .pdf;
6. Morvai G., Weiss B., Estimating the conditional expectations for continuous time stationary processes. Kybernetika, Volume: 56 no. 3, pp. 410-431, 2020. .pdf; .pdf;
7. Morvai G., Weiss B., A note on discriminating Poisson processes from other point processes with stationary inter arrival times. Kybernetika, Volume: 55 no. 5, pp. 802-808, 2019. .pdf; .pdf;
8. Morvai G., Weiss B., A Versatile Scheme for Predicting Renewal Times. Kybernetika, Volume: 52 no. 3, pp. 348-358, 2016. .pdf; .pdf;
9. Morvai G., Weiss B., Inferring the Residual Waiting Time for Binary Stationary Time Series . Kybernetika, Volume:50 no. 6, pp. 869-882, 2014. .pdf; .pdf;
10. Morvai G., Weiss B., Universal Tests for Memory Words. IEEE Transactions on Information Theory, Volume:59 , Issue: 10, pp. 6873 - 6879, 2013. .pdf; ; .pdf; ; ;
11. Morvai G., Weiss B., A note on prediction for discrete time series. Kybernetika, Volume 48, no. 4, pp. 809-823, 2012. .pdf; .pdf;
12. Morvai G., Weiss B., Testing stationary processes for independence. Ann. Inst. H. Poincaré Probab. Statist., Volume 47, Number 4 , pp. 1219-1225, 2011. .pdf; .pdf;
13. Morvai G., Weiss B., Nonparametric Sequential Prediction for Stationary Processes. The Annals of Probability, Vol. 39, No. 3, 1137--1160, 2011. .pdf; .pdf;
14. Molnár-Sáska G., Morvai G., Intermittent Estimation for Gaussian Processes. IEEE Transactions on Information Theory, Vol. 56. No. 6, June, pp. 2778--2782, 2010. .pdf; .pdf;
15. Morvai G., Weiss B., Estimating the residual waiting time for binary stationary time series. ITW 2009. IEEE Information Theory Workshop on Networking and Information Theory, 10-12 June 2009 pp. 67 - 70, 2009. .pdf; .pdf;
16. Morvai G., Weiss B., On Universal Estimates for Binary Renewal Processes. Annals of Applied Probability, 18 , no. 5, pp. 1970--1992, 2008. .pdf; .pdf;
17. Morvai G., Weiss B., Estimating the Lengths of Memory Words. IEEE Transactions on Information Theory, Vol. 54, No. 8, pp. 3804-3807, 2008. .pdf; .pdf; .pdf;
18. Morvai G., Weiss B., On sequential estimation and prediction for discrete time series. Stochastics and Dynamics, Vol. 7, No. 4, pp. 417-437, 2007. .pdf; .pdf; .pdf;
19. Morvai G., Weiss B., On estimating the memory of finitarily Markovian processes. Ann. Inst. H. Poincaré Probab. Statist., Vol. 43 pp. 15-30, 2007. .pdf; .pdf; .pdf;
20. Morvai G., Weiss B., Limitations on intermittent forecasting. Statistics & Probability Letters, Vol. 72, pp. 285-290, 2005. .pdf; .pdf; .pdf;
21. Morvai G., Weiss,B., Order estimation of Markov chains. IEEE Transactions on Information Theory, Vol. 51, No. 4, pp. 1496-1497, 2005. .pdf; .pdf; .pdf;
22. Morvai G., Weiss B., Forward estimation for ergodic time series. Ann. Inst. H. Poincaré Probab. Statist. Vol. 41 pp. 859-870, 2005. .pdf; .pdf; .pdf;
23. Morvai G., Weiss B., Prediction for discrete time series. Probability Theory and Related Fields, Vol. 132, pp.1-12, 2005. .pdf; .pdf; .pdf;
24. Morvai G., Weiss B., On classifying processes. Bernoulli, Vol. 11, No. 3, pp. 523-532, 2005. .pdf; .pdf; .pdf;
25. Morvai G., Weiss B., Inferring the conditional mean. Theory of Stochastic Processes, Vol. 11 (27), no. 1-2, pp. 112-120, 2005. .pdf; .pdf;
26. Morvai G., Weiss B., Intermittent estimation of stationary time series. Test, Vol. 13. No. 2, pp. 525-542, 2004. .pdf; .pdf;
27. Morvai G., Weiss B., Forecasting for stationary binary time series. Acta Applicandae Mathematicae, Vol. 79, No. 1, pp. 25-34, 2003. .pdf; .pdf;
28. Morvai G., Guessing the output of a stationary binary time series. In: Foundations of Statistical Inference, Y. Haitovsky, H.R. Lerche, Y. Ritov (Eds.), pp. 207-215, Physica-Verlag, 2003. .pdf; .pdf;
29. Györfi L., Morvai G., Queueing for ergodic arrivals and services. In: Limit Theorems in Probability and Statistics, I. Berkes E. Csáki, M. Csörgõ (Eds.), pp. 127-141, J. Bolyai Mathematical Society, 2002. .pdf; .pdf;
30. Györfi L., Lugosi G., Morvai G., A simple randomized algorithm for sequantial prediction of ergodic time series. IEEE Transactions on Information Theory Vol. 45, pp. 2642-2650, 1999. .pdf; .pdf;
31. Morvai G., Kulkarni S., Nobel A., Regression estimation from an individual stable sequence. Statistics Vol. 33, pp. 99-118, 1999. .pdf; .pdf;
32. Yakowitz S., Györfi L., Kieffer J., Morvai G., Strongly-consistent nonparametric forecasting and regression for stationary ergodic sequences. Journal of Multivariate Analysis Vol. 71, pp. 24-41, 1999. .pdf; .pdf;
33. Nobel A., Morvai G., Kulkarni S., Density estimation from an individual numerical sequence. IEEE Transactions on Information Theory Vol. 44, pp. 537-541, 1998. .pdf; .pdf;
34. Györfi L., Morvai G., Yakowitz S., Limits to consistent on-line forecasting for ergodic time series. IEEE Transactions on Information Theory Vol. 44, pp. 886-892, 1998. .pdf; .pdf;
35. Morvai G., Yakowitz S., Algoet P., Weakly convergent nonparametric forecasting of stationary time series. IEEE Transactions on Information Theory Vol. 43, pp. 483-498, 1997. .pdf; .pdf;
36. Morvai G., Yakowitz S., Györfi L., Nonparametric inference for ergodic, stationary time series. The Annals of Statistics Vol. 24, pp. 370-379, 1996. .pdf; .pdf;
37. Morvai G., Vajda I., A Survay on Log-Optimum Portfolio Selection. In: Second European Congress on Systems Science. Afcet, Paris 1993, pp. 936-944. .pdf;
38. Morvai G., Portfolio choice based on the empirical distriburion. Kybernetika, Vol. 28, pp. 484-493, 1992. .pdf;
39. Morvai G., Empirical log-optimal portfolio selection. Problems of Control and Information Theory, Vol. 20, pp. 453-463, 1991. .pdf;

    ---