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This paper proposes a new estimation procedure for the ambiguity function of a non-stationary time series. The stochastic properties of the empirical ambiguity function calculated from a single sample in time are derived. Different…

Methodology · Statistics 2009-08-21 Heidi Hindberg , Sofia C. Olhede

We consider some bilinear Fourier multiplier operators and give a bilinear version of Seeger, Sogge, and Stein's result for Fourier integral operators. Our results improve, for the case of Fourier multiplier operators, Rodr\'iguez-L\'opez,…

Classical Analysis and ODEs · Mathematics 2023-05-30 Tomoya Kato , Akihiko Miyachi , Naohito Tomita

We study the boundedness of the linear operator $S$ on $L^{p}_{a}(dA_{\alpha})$ $(0<p<\infty)$. In particular, we obtain a sufficient and necessary condition for the compactness of the linear operator $S$ on $L^{p}_{a}(dA_{\alpha})$…

Functional Analysis · Mathematics 2025-07-15 Zengjian Lou , Antti Rasila , Senhua Zhu

In this work we study some general classes of pseudodifferential operators whose symbols are defined in terms of phase space estimates.

Operator Algebras · Mathematics 2007-05-23 Johannes Sjoestrand

Let (X j , d j , $\mu$ j), j = 0, 1,. .. , m be metric measure spaces. Given 0 < p $\kappa$ $\le$ $\infty$ for $\kappa$ = 1,. .. , m and an analytic family of multilinear operators T z : L p 1 (X 1) x $\bullet$ $\bullet$ $\bullet$ L p m (X…

Analysis of PDEs · Mathematics 2022-01-19 Loukas Grafakos , El Maati Ouhabaz

A new class of minimax Stein-type shrinkage estimators of a multivariate normal mean is studied where the shrinkage factor is based on an l_p norm. The proposed estimators allow some but not all coordinates to be estimated by 0 thereby…

Statistics Theory · Mathematics 2015-05-29 Yuzo Maruyama

The aim of this article is to establish the $L^p(\mathbb{R}^2)$-boundedness of the variational operator associated with averaging operators defined over finite type curves in the plane. Additionally, we present the necessary conditions for…

Classical Analysis and ODEs · Mathematics 2025-01-29 Xudong Nie

Let $S_{\alpha}$ be the multilinear square function defined on the cone with aperture $\alpha \geq 1$. In this paper, we investigate several kinds of weighted norm inequalities for $S_{\alpha}$. We first obtain a sharp weighted estimate in…

Functional Analysis · Mathematics 2020-10-26 Mingming Cao , Mahdi Hormozi , Gonzalo Ibañez-Firnkorn , Israel P. Rivera-Ríos , Zengyan Si , Kôzô Yabuta

Based on the rapid development of dyadic analysis and the theory of variable weighted function spaces over the spaces of homogeneous type $(X,d,\mu)$ in recent years, we systematically consider the quantitative variable weighted…

Classical Analysis and ODEs · Mathematics 2024-08-13 Xi Cen

We prove L^1 --> L^\infty estimates for the linear Schroedinger equation in three dimensions. The potential is assumed to belong to certain L^p spaces, but no pointwise decay estimates and no additional regularity is required.

Analysis of PDEs · Mathematics 2007-05-23 Michael Goldberg

In this article, we study properties of multilinear Fourier integral operators on weighted modulation spaces. In particular, using the theory of Gabor frames, we study boundedness of multilinear Fourier integral operators on products of…

Functional Analysis · Mathematics 2023-02-22 Aparajita Dasgupta , Lalit Mohan , Shyam Swarup Mondal

We have established a sparse estimation method for the generalized exponential marked Hawkes process by the penalized method to the ordinary method (P-O) estimator. Furthermore, we evaluated the probability of correct variable selection. In…

Statistics Theory · Mathematics 2022-04-08 Masatoshi Goda

Studies of sparse representation of deterministic signals have been well developed. Amongst there exists one called adaptive Fourier decomposition (AFD) established through adaptive selections of the parameters defining a Takenaka-Malmquist…

Probability · Mathematics 2020-11-03 Tao Qian

We show that the expected solution operator of prototypical linear elliptic partial differential operators with random coefficients is well approximated by a computable sparse matrix. This result is based on a random localized orthogonal…

Numerical Analysis · Mathematics 2020-03-17 Michael Feischl , Daniel Peterseim

The iterations of many sparse estimation algorithms are comprised of a fixed linear filter cascaded with a thresholding nonlinearity, which collectively resemble a typical neural network layer. Consequently, a lengthy sequence of algorithm…

Machine Learning · Computer Science 2016-05-11 Bo Xin , Yizhou Wang , Wen Gao , David Wipf

We present some old and new results on dispersive estimates for Schroedinger equations.

Analysis of PDEs · Mathematics 2007-05-23 Wilhelm Schlag

Many conventional statistical procedures are extremely sensitive to seemingly minor deviations from modeling assumptions. This problem is exacerbated in modern high-dimensional settings, where the problem dimension can grow with and…

Machine Learning · Statistics 2017-02-27 Simon S. Du , Sivaraman Balakrishnan , Aarti Singh

We introduce multilinear analogues of dyadic paraproduct operators and Haar Multipliers, and study boundedness properties of these operators and their commutators. We also characterize dyadic BMO functions via the boundedness of certain…

Classical Analysis and ODEs · Mathematics 2015-12-15 Ishwari Kunwar

In this paper, we establish dimension-free estimates for the discrete spherical maximal operator on semi-commutative $L_{p}$ space for $2\leq p\leq\infty$.

Functional Analysis · Mathematics 2025-08-11 Yue Zhang

We prove a bilinear form sparse domination theorem that applies to many multi-scale operators beyond Calder\'on-Zygmund theory, and also establish necessary conditions. Among the applications, we cover large classes of Fourier multipliers,…

Classical Analysis and ODEs · Mathematics 2025-01-24 David Beltran , Joris Roos , Andreas Seeger
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