This article is the rejoinder for the paper “Probabilistic Integration: A Role in Statistical Computation?” (Statist. Sci. 34 (2019) 1–22). We would first like to thank the reviewers and many of our colleagues who helped shape this paper, the Editor for selecting our paper for discussion, and of course all of the discussants for their thoughtful, insightful and constructive comments. In this rejoinder, we respond to some of the points raised by the discussants and comment further on the fundamental questions underlying the paper: (i) Should Bayesian ideas be used in numerical analysis? and (ii) If so, what role should such approaches have in statistical computation
Bayesian models can be related to cognitive processes in a variety of ways that can be usefully unde...
The emergence in the past years of Bayesian analysis in many methodological and applied fields as th...
Probability and algorithms enjoy an almost boisterous interaction that has led to an active, extensi...
This article is the rejoinder for the paper "Probabilistic Integration: A Role in Statistical Comput...
This article is the rejoinder for the paper "Probabilistic Integration: A Role in Statistical Comput...
This article is the rejoinder for the paper "Probabilistic Integration: A Role in Statistical Comput...
We commend the authors for an exciting paper which provides a strong contribution to the emerging fi...
A research frontier has emerged in scientific computation, wherein discretisation error is regarded ...
A research frontier has emerged in scientific computation, wherein numerical error is regarded as a ...
We commend the authors for an exciting paper which provides a strong contribution to the emerging fi...
An explosive advance of numerical analysis techniques in recent years has paralleled the rapid incre...
This article attempts to place the emergence of probabilistic numerics as a mathematical–statistical...
In this essay, I argue about the relevance and the ultimate unity of the Bayesian approach in a neut...
There is renewed interest in formulating integration as an inference problem, motivated by obtaining...
Numerical integration or quadrature is one of the workhorses of modern scientific computing and a ke...
Bayesian models can be related to cognitive processes in a variety of ways that can be usefully unde...
The emergence in the past years of Bayesian analysis in many methodological and applied fields as th...
Probability and algorithms enjoy an almost boisterous interaction that has led to an active, extensi...
This article is the rejoinder for the paper "Probabilistic Integration: A Role in Statistical Comput...
This article is the rejoinder for the paper "Probabilistic Integration: A Role in Statistical Comput...
This article is the rejoinder for the paper "Probabilistic Integration: A Role in Statistical Comput...
We commend the authors for an exciting paper which provides a strong contribution to the emerging fi...
A research frontier has emerged in scientific computation, wherein discretisation error is regarded ...
A research frontier has emerged in scientific computation, wherein numerical error is regarded as a ...
We commend the authors for an exciting paper which provides a strong contribution to the emerging fi...
An explosive advance of numerical analysis techniques in recent years has paralleled the rapid incre...
This article attempts to place the emergence of probabilistic numerics as a mathematical–statistical...
In this essay, I argue about the relevance and the ultimate unity of the Bayesian approach in a neut...
There is renewed interest in formulating integration as an inference problem, motivated by obtaining...
Numerical integration or quadrature is one of the workhorses of modern scientific computing and a ke...
Bayesian models can be related to cognitive processes in a variety of ways that can be usefully unde...
The emergence in the past years of Bayesian analysis in many methodological and applied fields as th...
Probability and algorithms enjoy an almost boisterous interaction that has led to an active, extensi...