New error bounds in multivariate normal approximations via exchangeable pairs with applications to Wishart matrices and fourth moment theorems

نویسندگان

چکیده

We extend Stein’s celebrated Wasserstein bound for normal approximation via exchangeable pairs to the multi-dimensional setting. As an intermediate step, we exploit symmetry of obtain error smooth test functions. also a continuous version in terms fourth moments. apply main results multivariate approximations Wishart matrices size n and degree d, where optimal convergence rate n3/d under only moment assumptions, degenerate U-statistics Poisson functionals, strengthen few bounds literature on distance.

برای دانلود باید عضویت طلایی داشته باشید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Random Subgraph Countsand U -statistics: Multivariate Normal Approximation via Exchangeable Pairs and Embedding

In Reinert and Röllin (2009) a new approach—called the ‘embedding method’—was introduced, which allows us tomake use of exchangeable pairs for normal andmultivariate normal approximations with Stein’s method in cases where the corresponding couplings do not satisfy a certain linearity condition. The key idea is to embed the problem into a higher-dimensional space in such a way that the linearit...

متن کامل

Error Bounds for Lanczos Approximations of Rational Functions of Matrices

Having good estimates or even bounds for the error in computing approximations to expressions of the form f(A)v is very important in practical applications. In this paper we consider the case that A is Hermitian and that f is a rational function. We assume that the Lanczos method is used to compute approximations for f(A)v and we show how to obtain a posteriori upper and lower bounds on the `2-...

متن کامل

Complex singular Wishart matrices and applications∗

In this paper, complex singular Wishart matrices and their applications are investigated. In particular, a volume element on the space of positive semidefinite m×m complex matrices of rank n < m is introduced and some transformation properties are established. The Jacobian for the change of variables in the singular value decomposition of general m × n complex matrices is derived. Then the dens...

متن کامل

New Bounds and Approximations for the Error of Linear Classifiers

In this paper, we derive lower and upper bounds for the probability of error for a linear classifier, where the random vectors representing the underlying classes obey the multivariate normal distribution. The expression of the error is derived in the one-dimensional space, independently of the dimensionality of the original problem. Based on the two bounds, we propose an approximating expressi...

متن کامل

Factor Multivariate Stochastic Volatility Via Wishart Processes

This paper proposes a high dimensional factor multivariate stochastic volatility (SVOL) model in which factor covariance matrices are driven by Wishart random processes. The framework allows for unrestricted specification of intertemporal sensitivities, which can capture the persistence in volatilities, kurtosis in returns, as well as correlation breakdowns and contagion effects in volatilities...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

ژورنال

عنوان ژورنال: Annals of Applied Probability

سال: 2022

ISSN: ['1050-5164', '2168-8737']

DOI: https://doi.org/10.1214/21-aap1690