We commend the authors for an exciting paper which provides a strong contribution to the emerging field of probabilistic numerics (PN). Below, we discuss aspects of prior modelling which need to be considered thoroughly in future wor
We begin by introducing the main ideas of the paper, and we give a brief description of the method p...
In contrast to a posterior analysis given a particular sampling model, posterior model probabilities...
I actually own a copy of Harold Jeffreys's Theory of Probability but have only read small bits of it...
We commend the authors for an exciting paper which provides a strong contribution to the emerging fi...
We commend the authors for an exciting paper which provides a strong contribution to the emerging fi...
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 attempts to place the emergence of probabilistic numerics as a mathematical–statistical...
This article is the rejoinder for the paper "Probabilistic Integration: A Role in Statistical Comput...
A research frontier has emerged in scientific computation, wherein numerical error is regarded as a ...
Probabilistic numerical methods (PNMs) solve numerical problems via probabilistic inference. They h...
In statistical applications, it is common to encounter parameters supported on a varying or unknown ...
We present basic concepts of Bayesian statistical inference. We briefly introduce the Bayesian parad...
We thank the discussants David Poole, Pritam Ranjan, Earl Lawrence, David Higdon, and David van Dyk ...
A research frontier has emerged in scientific computation, wherein discretisation error is regarded ...
We begin by introducing the main ideas of the paper, and we give a brief description of the method p...
In contrast to a posterior analysis given a particular sampling model, posterior model probabilities...
I actually own a copy of Harold Jeffreys's Theory of Probability but have only read small bits of it...
We commend the authors for an exciting paper which provides a strong contribution to the emerging fi...
We commend the authors for an exciting paper which provides a strong contribution to the emerging fi...
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 attempts to place the emergence of probabilistic numerics as a mathematical–statistical...
This article is the rejoinder for the paper "Probabilistic Integration: A Role in Statistical Comput...
A research frontier has emerged in scientific computation, wherein numerical error is regarded as a ...
Probabilistic numerical methods (PNMs) solve numerical problems via probabilistic inference. They h...
In statistical applications, it is common to encounter parameters supported on a varying or unknown ...
We present basic concepts of Bayesian statistical inference. We briefly introduce the Bayesian parad...
We thank the discussants David Poole, Pritam Ranjan, Earl Lawrence, David Higdon, and David van Dyk ...
A research frontier has emerged in scientific computation, wherein discretisation error is regarded ...
We begin by introducing the main ideas of the paper, and we give a brief description of the method p...
In contrast to a posterior analysis given a particular sampling model, posterior model probabilities...
I actually own a copy of Harold Jeffreys's Theory of Probability but have only read small bits of it...
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