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   Berry-Esseen bounds in the Breuer-Major CLT and Gebelein's inequalityNourdin, Ivan  ; Peccati, Giovanni ; Yang, Xiaochuan in Electronic Communications in Probability (2019), 24(34), 1-12 Detailed reference viewed: 143 (2 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: 144 (5 UL)Fourth moment theorems on the Poisson space: analytic statements via product formulaeDöbler, Christian ; Peccati, Giovanni in Electronic Communications in Probability (2018), 23 Detailed reference viewed: 146 (5 UL)Note on A. Barbour’s paper on Stein’s method for diffusion approximationsKasprzak, Mikolaj ; ; in Electronic Communications in Probability (2017) Detailed reference viewed: 133 (19 UL)Multivariate Gaussian approxi- mations on Markov chaosesCampese, Simon ; Nourdin, Ivan ; Peccati, Giovanni et alin Electronic Communications in Probability (2016), 21 Detailed reference viewed: 242 (8 UL)Recurrence for the frog model with drift on Z^dDöbler, Christian ; in Electronic Communications in Probability (2014) Detailed reference viewed: 62 (1 UL)Stein's density approach and information inequalities; Swan, Yvik in Electronic Communications in Probability (2013), 18(7), 1--14 Detailed reference viewed: 138 (0 UL)Mean-square continuity on homogeneous spaces of compact groups; Peccati, Giovanni in Electronic Communications in Probability (2013), 18 Detailed reference viewed: 180 (0 UL)Concavity of entropy along binomial convolutionHillion, 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: 77 (3 UL)Convergence in law in the second Wiener/Wigner chaosNourdin, Ivan ; in Electronic Communications in Probability (2012), 17(36), Detailed reference viewed: 115 (2 UL)Yet another proof of the Nualart-Peccati criterionNourdin, Ivan in Electronic Communications in Probability (2011), 16 Detailed reference viewed: 137 (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: 127 (1 UL)Dynamical properties and characterization of gradient drift diffusions; Nourdin, Ivan in Electronic Communications in Probability (2007), 12 Detailed reference viewed: 104 (1 UL)Gaussian approximations of multiple integralsPeccati, Giovanni in Electronic Communications in Probability (2007), 12 Detailed reference viewed: 158 (0 UL)Weak convergence to Ocone martingales: a remarkPeccati, Giovanni in Electronic Communications in Probability (2004), 9 Detailed reference viewed: 230 (0 UL)Some remarks on the heat flow for functions and formsThalmaier, Anton in Electronic Communications in Probability (1998), 3 Detailed reference viewed: 282 (17 UL) |
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