Foundations of Modern Statistics Festschrift in Honor of Vladimir Spokoiny, Berlin, Germany, November 6–8, 2019, Moscow, Russia, November 30, 2019 /

This book contains contributions from the participants of the international conference “Foundations of Modern Statistics” which took place at Weierstrass Institute for Applied Analysis and Stochastics (WIAS), Berlin, during November 6–8, 2019, and at Higher School of Economics (HSE University), Mosc...

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-д хадгалсан:
Номзүйн дэлгэрэнгүй
Байгууллагын зохиогч: SpringerLink (Online service)
Бусад зохиолчид: Belomestny, Denis (Засварлагч), Butucea, Cristina (Засварлагч), Mammen, Enno (Засварлагч), Moulines, Eric (Засварлагч), Reiß, Markus (Засварлагч), Ulyanov, Vladimir V. (Засварлагч)
Формат: Цахим Цахим ном
Хэл сонгох:англи
Хэвлэсэн: Cham : Springer International Publishing : Imprint: Springer, 2023.
Хэвлэл:1st ed. 2023.
Цуврал:Springer Proceedings in Mathematics & Statistics, 425
Нөхцлүүд:
Онлайн хандалт:https://doi.org/10.1007/978-3-031-30114-8
Шошгууд: Шошго нэмэх
Шошго байхгүй, Энэхүү баримтыг шошголох эхний хүн болох!
Агуулга:
  • Optimal rates and non-asymptotic bounds in nonparametrics: Z. Harchaoui, A. Juditsky, A. Nemirovski, D. Ostrovskii, Adaptive Denoising of Signals with Local Shift-Invariant Structure
  • A. Dubois, Thomas B. Berret, C. Butucea, Goodness-of-fit testing for Hölder continuous densities under local differential privacy
  • G. Blanchard and J.ean-Baptiste Fermanian, Nonasymptotic signal detection and two-sample tests in high dimension
  • Sara van de Geer and P. Hinz, The Lasso with structured design and entropy of (absolute) convex hulls
  • M. Hiabu, E. Mammen and Joseph-Theo Meyer, Local linear smoothing in additive models as data projection
  • S. Ayvazyan and V. Ulyanov, A multivariate CLT for „typical“ weighted sums with rate of convergence of order O(1/n)
  • Estimation of matrices and subspaces: F. Götze, A. Tikhomirov, D. Timushev, Rate of convergence for sample covariance sparse matrices
  • M. Wahl, Van Trees inequality, group equivariance, and estimation of principal subspaces
  • D. Belomestny, E. Krymova, Sparse constrained projection approximation subspace tracking Nonparametric and semiparametric Bayes statistics
  • Natalia Bochkina: Bernstein - von Mises theorem and misspecified models: a review
  • M. Panov, On accuracy of Gaussian approximation in Bayesian semiparametric problems
  • Statistical theory motivated by applications: M. Bl ́ehaut, X. D’Haultfœuille, J ́er ́emy L’Hour, A. B. Tsybakov, An alternative to synthetic control for models with many covariates under sparsity
  • C. Breunig, X. Chen, Adaptive Estimation of Quadratic Functionals in Nonparametric Instrumental Variable Models
  • G. Kulaitis, A. Munk and F. Werner, A minimax testing perspective on spatial statistical resolution in microscopy
  • Optimisation: P. Dvurechensky, A. Gasnikov, A. Tyurin and V. Zholobov, Unifying Framework for Accelerated Randomized Methods in Convex Optimization
  • K. Khowaja, M. Shcherbatyy and W. Karl Härdle. Surrogate Models for Optimization of Dynamical Systems
  • Interview with Vladimir Spokoiny.