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pro vyhledávání: '"McCullagh, Peter"'
Consider a binary mixture model of the form $F_\theta = (1-\theta)F_0 + \theta F_1$, where $F_0$ is standard Gaussian and $F_1$ is a completely specified heavy-tailed distribution with the same support. For a sample of $n$ independent and identically
Externí odkaz:
http://arxiv.org/abs/2407.20162
In large-scale studies with parallel signal-plus-noise observations, the local false discovery rate is a summary statistic that is often presumed to be equal to the posterior probability that the signal is null. We prefer to call the latter quantity
Externí odkaz:
http://arxiv.org/abs/2402.08792
In a range of genomic applications, it is of interest to quantify the evidence that the signal at site~$i$ is active given conditionally independent replicate observations summarized by the sample mean and variance $(\bar Y, s^2)$ at each site. We st
Externí odkaz:
http://arxiv.org/abs/2307.01395
Autor:
Xiang, Daniel, McCullagh, Peter
The two components for infinite exchangeability of a sequence of distributions $(P_n)$ are (i) consistency, and (ii) finite exchangeability for each $n$. A consequence of the Aldous-Hoover theorem is that any node-exchangeable, subselection-consisten
Externí odkaz:
http://arxiv.org/abs/2009.10902
Quantile matching is a strictly monotone transformation that sends the observed response values $\{y_1, . . . , y_n\}$ to the quantiles of a given target distribution. A likelihood based criterion is developed for comparing one target distribution wi
Externí odkaz:
http://arxiv.org/abs/2001.03709
Autor:
McCullagh, Peter, Polson, Nicholas
The main contribution of this paper is a mathematical definition of statistical sparsity, which is expressed as a limiting property of a sequence of probability distributions. The limit is characterized by an exceedance measure~$H$ and a rate paramet
Externí odkaz:
http://arxiv.org/abs/1712.03889
Autor:
McCullagh, Peter1 (AUTHOR) pmcc@galton.uchicago.edu
Publikováno v:
Canadian Journal of Statistics. Sep2023, Vol. 51 Issue 3, p769-779. 11p.
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