Results 211 to 220 of about 7,698 (239)

Distances Between Distributions Via Stein’s Method

Journal of theoretical probability, 2019
We build on the formalism developed in Ernst et al. (First order covariance inequalities via Stein’s method, 2019) to propose new representations of solutions to Stein equations.
Marie Ernst, Yvik Swan
semanticscholar   +1 more source

Stein's method for geometric approximation

Journal of Applied Probability, 1996
The Stein–Chen method for Poisson approximation is adapted to the setting of the geometric distribution. This yields a convenient method for assessing the accuracy of the geometric approximation to the distribution of the number of failures preceding the first success in dependent trials.
openaire   +3 more sources

The Stein Method

2016
Methodological aspects of the Stein method are exceptionally well discussed in the literature, and for more advanced applications the reader is advised to consult the books and papers referenced at the end of this chapter. Here we present just a basic idea of how the method works for the normal approximation and a short introduction to lattice random ...
openaire   +2 more sources

STEIN'S METHOD AND THE BERRY‐ESSÉEN THEOREM

Australian Journal of Statistics, 1984
SummaryStein's method is used to prove the Lindeberg‐Feller theorem and a generalization of the Berry‐Esséen theorem. The arguments involve only manipulation of probability inequalities, and form an attractive alternative to the less direct Fourier‐analytic methods which are traditionally employed.
Barbour, A D, Hall, P
openaire   +3 more sources

Negative Binomial Approximation with Stein's Method

Methodology And Computing In Applied Probability, 1999
The basic ingredients for approximation by a negative binomial distribution using Stein's method and a birth and death characterizing equation are established. These include good bounds for the solution of the Stein equation and for its first differences, and a coupling representation of the accuracy of approximation. Lower bounds for the approximation
M. J. Phillips, Tim Brown
openaire   +2 more sources

Topological Methods in Stein Geometry

2011
In this chapter we introduce more advanced topological methods to the study of geometric problems on Stein manifolds and to Oka theory. We begin by considering complex points of smooth real surfaces in complex surfaces. After proving the Lai formulae and the Eliashberg-Harlamov cancellation theorem, we explore connections between the generalized ...
openaire   +2 more sources

Magnetic resonance linear accelerator technology and adaptive radiation therapy: An overview for clinicians

Ca-A Cancer Journal for Clinicians, 2022
X Allen Li, Daniel A Low, Travis C Salzillo   +2 more
exaly  

Hydroxyl Radical Protein Footprinting: A Mass Spectrometry-Based Structural Method for Studying the Higher Order Structure of Proteins

Chemical Reviews, 2022
Lisa M Jones
exaly  

A contact-electro-catalytic cathode recycling method for spent lithium-ion batteries

Nature Energy, 2023
, Andy Berbille, Wei Tang
exaly  

A New Method of Estimating United States and State-level Cancer Incidence Counts for the Current Calendar Year

Ca-A Cancer Journal for Clinicians, 2007
Eric J Feuer
exaly