Approximation of convolutions of probability distributions by infinitely divisible laws under weakened moment restrictions
A. Yu. Zaitsev

This publication is cited in the following articles:

1. Ya. S. Golikova, A. Yu. Zaitsev, “O tochnosti bezgranichno delimoi approksimatsii $n$-kratnykh svertok veroyatnostnykh raspredelenii”, Veroyatnost i statistika. 33, Zap. nauchn. sem. POMI, 515, POMI, SPb., 2022, 83–90  
2. V. Čekanavičius, S. Y. Novak, “Compound Poisson approximation”, Probab. Surveys, 19:none (2022)  
3. Lifshits M.A. Nikitin Ya.Yu. Petrov V.V. Zaitsev A.Yu. Zinger A.A., “Toward the History of the Saint Petersburg School of Probability and Statistics. i. Limit Theorems For Sums of Independent Random Variables”, Vestn. St Petersb. Univ.-Math., 51:2 (2018), 144–163          
4. F. Götze, Yu. S. Eliseeva, A. Yu. Zaitsev, “Arak inequalities for concentration functions and the Littlewood–Offord problem”, Theory Probab. Appl., 62:2 (2018), 196–215            
5. F. Gettse, A. Yu. Zaitsev, “Redkie sobytiya i puassonovskie tochechnye protsessy”, Veroyatnost i statistika. 26, Zap. nauchn. sem. POMI, 466, POMI, SPb., 2017, 109–119  
6. Theory Probab. Appl., 59:2 (2015), 222–243              
7. J. Math. Sci. (N. Y.), 137:1 (2006), 4510–4515      
8. A. Yu. Zaitsev, “On approximation of the sample by a Poisson point process”, J. Math. Sci. (N. Y.), 128:1 (2005), 2556–2563