This note is concerned with lower tail estimates for product measures. Some improved deviation inequalities are obtained for functions satisfying some regularity and monotonicity assumptions. The arguments are based on semigroup interpolation together with Harris’s negative association inequality and hypercontractive estimates.
Mots-clés : Functional inequalities, semigroups, hypercontractivity, convexity
@article{PS_2019__23__979_0, author = {Tanguy, Kevin}, title = {Improved one-sided deviation inequalities under regularity assumptions for product measures}, journal = {ESAIM: Probability and Statistics}, pages = {979--990}, publisher = {EDP-Sciences}, volume = {23}, year = {2019}, doi = {10.1051/ps/2019014}, mrnumber = {4046859}, zbl = {1506.60031}, language = {en}, url = {http://archive.numdam.org/articles/10.1051/ps/2019014/} }
TY - JOUR AU - Tanguy, Kevin TI - Improved one-sided deviation inequalities under regularity assumptions for product measures JO - ESAIM: Probability and Statistics PY - 2019 SP - 979 EP - 990 VL - 23 PB - EDP-Sciences UR - http://archive.numdam.org/articles/10.1051/ps/2019014/ DO - 10.1051/ps/2019014 LA - en ID - PS_2019__23__979_0 ER -
%0 Journal Article %A Tanguy, Kevin %T Improved one-sided deviation inequalities under regularity assumptions for product measures %J ESAIM: Probability and Statistics %D 2019 %P 979-990 %V 23 %I EDP-Sciences %U http://archive.numdam.org/articles/10.1051/ps/2019014/ %R 10.1051/ps/2019014 %G en %F PS_2019__23__979_0
Tanguy, Kevin. Improved one-sided deviation inequalities under regularity assumptions for product measures. ESAIM: Probability and Statistics, Tome 23 (2019), pp. 979-990. doi : 10.1051/ps/2019014. http://archive.numdam.org/articles/10.1051/ps/2019014/
[1] Analysis and geometry of Markov diffusion operators. In vol. 348 of Grundlehren der Mathematischen Wissenschaften (2014). | MR | Zbl
, and ,[2] Isoperimetric and analytic inequalities for log-concave probability measures. Ann. Prob. 27 (1999) 1903–1921. | DOI | MR | Zbl
,[3] Intertwining relations for one-dimensional diffusions and application to functional inequalities. Potent. Anal. 41 (2014) 1005–1031. | DOI | MR | Zbl
and ,[4] A note on spectral gap and weighted Poincaré inequalities for some one-dimensional diffusions. ESAIM: PS 20 (2016) 18–29. | DOI | Numdam | MR | Zbl
, and ,[5] Concentration inequalities for order statistics. Electr. Commun. Probab. 17 (2012) 51. | MR | Zbl
and ,[6] Concentration inequalities: a nonasymptotic theory of independance. Oxford University Press (2013). | DOI | MR | Zbl
, and ,[7] Superconcentration and related topics. Springer (2014). | DOI | MR | Zbl
,[8] Hypercontractive Measures Talagrand’s inequality, and Influences. Geometric aspects of functional analysis. Vol. 2050 of Lect. Notes Math. (2012) 169–189. | DOI | MR | Zbl
and ,[9] Logarithmic sobolev inequalities. Am. J. Math. 97 (1975) 1061–1083. | DOI | MR | Zbl
,[10] Remarks on deviation inequalities for functions of infinitely divisible random vecteors. Ann. Probab. 30 (2002) 1223–1237. | DOI | MR | Zbl
,[11] Extremes and related properties of random sequences and processes. Springer Series in Statistics (1983). | MR | Zbl
, and ,[12] The geometry of Markov diffusions operators. Ann. Fac. Sci. Toulouse Math. 9 (2000) 305–366. | DOI | Numdam | MR | Zbl
,[13] The concentration of measure phenomenon. Vol. 89 of Mathematical Surveys and Monographs (2001). | MR | Zbl
,[14] Concentration inequalities for Euler schemes. Monte Carlo and quasi-Monte Carlo methods 2004 (2006). | MR | Zbl
and ,[15] Functional co-monotony of processes with applications to peacocks and barrier options. Séminaire de Probabilités XLV, 2078 (2013). | DOI | MR | Zbl
,[16] A gaussian small deviation inequality for convex functions. Ann. Probab. 46 (2018) 1441–1454. | DOI | MR | Zbl
and ,[17] Variance estimates and almost euclidean structure. Adv. Geometry 19 (2019) 165–189. | DOI | MR | Zbl
and ,[18] Random version of Dvoretzky’s Theorem in lpn. Stochast. Process. Appl. 127 (2017) 3187–3227. | DOI | MR | Zbl
, and ,[19] On the tightness of Gaussian concentration for convex functions. J. Anal. Math. 139 (2019) 341–367. | DOI | MR | Zbl
,[20] Some superconcentration inequalities for extrema of stationary gaussian processes. Stat. Probab. Lett. 106 (2015) 239–246. | DOI | MR | Zbl
,[21] Quelques inégalités de superconcentration: théorie et applications (in French). Ph.D. thesis, Institute of Mathematics of Toulouse (2017).
,[22] Non asymptotic variance bounds and deviation inequalities by optimal transport. Electr. J. Probab. 24 (2019) 13. | MR | Zbl
,[23] An improved bound for the gaussian concentration inequality. Preprint: (2019). | arXiv
,[24] Concentration inequalities for convex functions on product spaces. Stoch. Inequalit. Appl. 56 (2003) 33–52. | MR | Zbl
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