Zobrazeno 21 - 30
of 2 209
pro vyhledávání: '"Walker, Stephen A."'
Publikováno v:
In Journal of Statistical Planning and Inference July 2024 231
Autor:
Walker, Stephen, Ruiz, Carlos
Publikováno v:
Marketing Libraries Journal, Vol 7, Iss 1, Pp 51-65 (2023)
This case study discusses communication strategies for eBook acquisitions during the Covid-19 Pandemic. At the start of Covid-19, social distancing placed a moratorium for an unknown period on the physical collections and librarians had to rely purel
Externí odkaz:
https://doaj.org/article/5232bb88bfff4b008f6d0d8f6479ec68
Autor:
Ho, Nhat, Walker, Stephen G.
We introduce a class of integral theorems based on cyclic functions and Riemann sums approximating integrals. The Fourier integral theorem, derived as a combination of a transform and inverse transform, arises as a special case. The integral theorems
Externí odkaz:
http://arxiv.org/abs/2107.10947
Autor:
Ho, Nhat, Walker, Stephen G.
Taking the Fourier integral theorem as our starting point, in this paper we focus on natural Monte Carlo and fully nonparametric estimators of multivariate distributions and conditional distribution functions. We do this without the need for any esti
Externí odkaz:
http://arxiv.org/abs/2106.06608
Autor:
Walker, Stephen G
The paper presents a novel asymptotic distribution for a mle when the log--likelihood is strictly concave in the parameter for all data points; for example, the exponential family. The new asymptotic distribution can be seen as a refinement of the us
Externí odkaz:
http://arxiv.org/abs/2106.06597
Autor:
Walker, Stephen G
In this paper we present a new measure for the overlap of two density functions which provides motivation and interpretation currently lacking with benchmark measures based on the proportion of similar response, also known as the overlap coefficient.
Externí odkaz:
http://arxiv.org/abs/2106.01821
Autor:
Walker, Stephen G., Villa, Cristiano
In this paper we introduce a novel objective prior distribution levering on the connections between information, divergence and scoring rules. In particular, we do so from the starting point of convex functions representing information in density fun
Externí odkaz:
http://arxiv.org/abs/2105.03241
Autor:
Chandler, David J., Walker, Stephen L.
Publikováno v:
In Clinics in Dermatology March-April 2024 42(2):155-168
The prior distribution on parameters of a sampling distribution is the usual starting point for Bayesian uncertainty quantification. In this paper, we present a different perspective which focuses on missing observations as the source of statistical
Externí odkaz:
http://arxiv.org/abs/2103.15671
Autor:
Biro, Preston, Walker, Stephen G.
With the vast amount of data collected on football and the growth of computing abilities, many games involving decision choices can be optimized. The underlying rule is the maximization of an expected utility of outcomes and the law of large numbers.
Externí odkaz:
http://arxiv.org/abs/2103.06939