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Titlebook: Case Studies in Bayesian Statistics; Volume VI Constantine Gatsonis,Robert E. Kass,Isabella Verdi Conference proceedings 2002 Springer-Verl

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發(fā)表于 2025-3-21 16:44:49 | 只看該作者 |倒序瀏覽 |閱讀模式
書目名稱Case Studies in Bayesian Statistics
副標題Volume VI
編輯Constantine Gatsonis,Robert E. Kass,Isabella Verdi
視頻videohttp://file.papertrans.cn/223/222243/222243.mp4
叢書名稱Lecture Notes in Statistics
圖書封面Titlebook: Case Studies in Bayesian Statistics; Volume VI Constantine Gatsonis,Robert E. Kass,Isabella Verdi Conference proceedings 2002 Springer-Verl
描述The 6th Workshop on Case Studies in Bayesian Statistics was held at the Carnegie Mellon University in October, 2001. This volume contains the invited case studies with the accompanying discussion as well as contributed papers selected by a refereeing process.
出版日期Conference proceedings 2002
關(guān)鍵詞Statistica; Volume; bayesian statistics; cognition; model; selection; statistics; university
版次1
doihttps://doi.org/10.1007/978-1-4612-2078-7
isbn_softcover978-0-387-95472-1
isbn_ebook978-1-4612-2078-7Series ISSN 0930-0325 Series E-ISSN 2197-7186
issn_series 0930-0325
copyrightSpringer-Verlag New York, Inc. 2002
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Multi-Course Treatment Strategies for Clinical Trials of Rapidly Fatal Diseasesresponse,” the patient may survive without response, “failure,” or the patient may die. When treatment fails in a given course, it is common medical practice to switch to a different treatment for the next course. Most statistical approaches to such settings simply ignore the multi-course structure.
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Recognition of Faces versus Greebles: A Case Study in Model Selectionrain that is damaged in patients with prosopagnosia is substantially dedicated to face recognition or whether it is a locus for identification of similar objects within more general classes. This debate is an instance of a controversy between advocates of a modular view of brain function and those w
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發(fā)表于 2025-3-22 08:26:06 | 只看該作者
Spatial Semiparametric Proportional Hazards Models for Analyzing Infant Mortality Rates in Minnesotaases have in turn generated interest among statisticians to develop and analyze models that account for spatial clustering and variation. We analyze a set of spatially correlated infant mortality rates in the counties in Minnesota. In the absence of appropriate surrogates for standard of health in t
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Bayes and asymptotically pointwise optimal stopping rules for the detection of influenza epidemics earlier, by solving a suitable change-point problem. We propose a hierarchical Bayesian change-point model for influenza epidemics. Prior probabilities of a change point depend on (random) factors that affect the spread of influenza. Theory of optimal stopping is used to obtain Bayes stopping rules
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Correlations Between Clinical Mastitis in Different Periods of First-Lactation Norwegian Cattle Usin, ranging from 30 days pre-calving to 300 days postpartum, was divided into 11 periods of equal length. Within period, it was checked whether mastitis occurred or not. Mastitis incidence was 4.7% and 10.1% in the first two periods, respectively, and ranged between 1.4% and 2.2% subsequently. The obj
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Working Memory Impairments in Schizophrenia Patients: A Bayesian Bivariate IRT Analysis participated in a memory test designed to measure both spatial and object working memory. Standard analyses were inappropriate because the test items had differing levels of difficulty. To account for this problem, the data were analyzed using a Bayesian Bivariate Item Response Theory (BBIRT) model
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