Add to ORKGdiscrepancy in numerical analysis and statistics Josef Dick∗ In this paper we discuss various connections between geometric discrepancy measures, such as discrepancy with respect to convex sets (and convex sets with smooth boundary in particular), and applica-tions to numerical analysis and statistics, like point distributions on the sphere, the acceptance-rejection algorithm and certain Markov chain Monte Carlo algorithms
A brief synopsis of progress in differential geometry in statistics is followed by a note of some po...
A concept of generalized discrepancy, which involves pseudodifferential operators to give a criterio...
Stochastic geometry involves the study of random geometric structures, and blends geometric, probabi...
In this book chapter we survey known approaches and algorithms to compute discrepancy measures of po...
Discrepancy theory concerns the problem of replacing a continuous object with a discrete sampling. D...
Master of ScienceDepartment of MathematicsCraig SpencerThis paper introduces the basic elements of g...
This thesis attempts to capture recent developments related to numerical integration on spheres of a...
AbstractWe use standard results from convex geometry to obtain representations of the prior and post...
The main purpose of this book is to give an overview of the developments during the last 20 years in...
Through the use of a few examples, we shall illustrate the use of probability theory, or otherwise, ...
In Numerical Analysis, several discrepancies have been introduced to test that a sample of n points ...
We investigate the meaning of "statistical methods" for geometric inference based on image feature p...
Summary. By the use of two examples, we discuss the techniques of Fourier analysis in the study of p...
The theme of this paper is a rather simple method that has proved very potent in the analysis of the...
A concept of generalized discrepancy, which involves pseudodifferential operators to give a criterio...
A brief synopsis of progress in differential geometry in statistics is followed by a note of some po...
A concept of generalized discrepancy, which involves pseudodifferential operators to give a criterio...
Stochastic geometry involves the study of random geometric structures, and blends geometric, probabi...
In this book chapter we survey known approaches and algorithms to compute discrepancy measures of po...
Discrepancy theory concerns the problem of replacing a continuous object with a discrete sampling. D...
Master of ScienceDepartment of MathematicsCraig SpencerThis paper introduces the basic elements of g...
This thesis attempts to capture recent developments related to numerical integration on spheres of a...
AbstractWe use standard results from convex geometry to obtain representations of the prior and post...
The main purpose of this book is to give an overview of the developments during the last 20 years in...
Through the use of a few examples, we shall illustrate the use of probability theory, or otherwise, ...
In Numerical Analysis, several discrepancies have been introduced to test that a sample of n points ...
We investigate the meaning of "statistical methods" for geometric inference based on image feature p...
Summary. By the use of two examples, we discuss the techniques of Fourier analysis in the study of p...
The theme of this paper is a rather simple method that has proved very potent in the analysis of the...
A concept of generalized discrepancy, which involves pseudodifferential operators to give a criterio...
A brief synopsis of progress in differential geometry in statistics is followed by a note of some po...
A concept of generalized discrepancy, which involves pseudodifferential operators to give a criterio...
Stochastic geometry involves the study of random geometric structures, and blends geometric, probabi...