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Berry-Esseen bounds in the Breuer-Major CLT and Gebelein's inequality Nourdin, Ivan ; Peccati, Giovanni ; Yang, Xiaochuan in Electronic Communications in Probability (2019), 24(34), 1-12 Detailed reference viewed: 74 (1 UL)Almost sure limit theorems on Wiener chaos: the non-central case ; Nourdin, Ivan in Electronic Communications in Probability (2019), 24(9), 1-12 Detailed reference viewed: 97 (5 UL)Fourth moment theorems on the Poisson space: analytic statements via product formulae Döbler, Christian ; Peccati, Giovanni in Electronic Communications in Probability (2018), 23 Detailed reference viewed: 102 (5 UL)Note on A. Barbour’s paper on Stein’s method for diffusion approximations Kasprzak, Mikolaj ; ; in Electronic Communications in Probability (2017) Detailed reference viewed: 112 (18 UL)Multivariate Gaussian approxi- mations on Markov chaoses Campese, Simon ; Nourdin, Ivan ; Peccati, Giovanni et al in Electronic Communications in Probability (2016), 21 Detailed reference viewed: 193 (8 UL)Recurrence for the frog model with drift on Z^d Döbler, Christian ; in Electronic Communications in Probability (2014) Detailed reference viewed: 41 (1 UL)Mean-square continuity on homogeneous spaces of compact groups ; Peccati, Giovanni in Electronic Communications in Probability (2013), 18 Detailed reference viewed: 119 (0 UL)Stein's density approach and information inequalities ; Swan, Yvik in Electronic Communications in Probability (2013), 18(7), 1--14 Detailed reference viewed: 97 (0 UL)Concavity of entropy along binomial convolution Hillion, Erwan in Electronic communications in probability (2012), 17 Motivated by a generalization of Sturm-Lott-Villani theory to discrete spaces and by a conjecture stated by Shepp and Olkin about the entropy of sums of Bernoulli random variables, we prove the concavity ... [more ▼] Motivated by a generalization of Sturm-Lott-Villani theory to discrete spaces and by a conjecture stated by Shepp and Olkin about the entropy of sums of Bernoulli random variables, we prove the concavity in t of the entropy of the convolution of a probability measure a, which has the law of a sum of independent Bernoulli variables, by the binomial measure of parameters n and t. [less ▲] Detailed reference viewed: 55 (3 UL)Convergence in law in the second Wiener/Wigner chaos Nourdin, Ivan ; in Electronic Communications in Probability (2012), 17(36), Detailed reference viewed: 74 (2 UL)Yet another proof of the Nualart-Peccati criterion Nourdin, Ivan in Electronic Communications in Probability (2011), 16 Detailed reference viewed: 91 (1 UL)Error bounds on the non-normal approximation of Hermite power variations of fractional Brownian motion ; Nourdin, Ivan in Electronic Communications in Probability (2008), 13 Detailed reference viewed: 79 (1 UL)Dynamical properties and characterization of gradient drift diffusions ; Nourdin, Ivan in Electronic Communications in Probability (2007), 12 Detailed reference viewed: 67 (1 UL)Gaussian approximations of multiple integrals Peccati, Giovanni in Electronic Communications in Probability (2007), 12 Detailed reference viewed: 111 (0 UL)Weak convergence to Ocone martingales: a remark Peccati, Giovanni in Electronic Communications in Probability (2004), 9 Detailed reference viewed: 150 (0 UL)Some remarks on the heat flow for functions and forms Thalmaier, Anton in Electronic Communications in Probability (1998), 3 Detailed reference viewed: 228 (16 UL) |
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