منابع مشابه
2 Hugh
Bayesian methods provide an eeective tool for shrinkage in wavelet models. An important issue in any Bayesian analysis is the elicita-tion of a prior distribution. Elicitation in the wavelet domain is considered by rst describing the structure of a wavelet model, and examining several prior distributions that are used in a variety of recent articles. Although elicitation has not been directly c...
متن کاملHugh Dickinson
Crump interprets the stories, rather than simply recounting them. Her background as a research biologist, and her fi eld experience with native peoples, give her a broad perspective on the topic. She weaves a deft blend of summary and commentary, and often returns to emergent themes. Why do particular species appear in leading roles? Why do snakes and toads so often end up both as hero and vill...
متن کاملDefinable Davies’ Theorem
We prove the following descriptive set-theoretic analogue of a Theorem of R.O. Davies: Every Σ2 function f : R× R → R can be represented as a sum of rectangular Σ2 functions if and only if all reals are constructible.
متن کاملProfessor Hugh Gurling MBBS
Professor Hugh Gurling, who died aged 63, was a pioneering psychiatrist who was determined to find the genes causing severe mental illness. His resolve to investigate the biological processes underlying disorders such as schizophrenia, manic depression and alcoholism was very much out of kilter with the rest of his academic colleagues when he began his quest in the late 1970s; the focus in psyc...
متن کاملProfile: James Davies
has provoked a lot of interest and comment. For those who haven't read it, how would you summarise the argument? In a nutshell, I argue that psychiatry over the past 40 years, under the dominance of the medical or 'technological' model, has done a lot of harm in the name of helping vulnerable people. Not intentionally, I hasten to add, but as an outcome of taking the medical model too far. Your...
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ژورنال
عنوان ژورنال: The Journal of Thoracic and Cardiovascular Surgery
سال: 1959
ISSN: 0022-5223
DOI: 10.1016/s0022-5223(19)32465-1