منابع مشابه
Ordinal Data Analysis via Graphical Models
Background. Undirected graphical models or Markov random fields (MRFs) are very popular for modeling multivariate probability distributions. A considerable amount of work on MRFs has focused on modeling continuous variables and unordered categorical variables also called as nominal variables. However, data from many real world applications involve ordered categorical variables also called as or...
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Multivariate ordinal categorical data is encountered in many fields of research. For analysis and data reduction the conditional independence properties of these data are studied in graphical models. However, to simulate multivariate ordinal data with a specific conditional independence structure, for use in simulation studies or computer intensive methods of inference, is non-trivial. We prese...
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هدف اصلی از این تحقیق به دست آوردن و مقایسه حق بیمه باورمندی در مدل های شمارشی گزارش نشده برای داده های طولی می باشد. در این تحقیق حق بیمه های پبش گویی بر اساس توابع ضرر مربع خطا و نمایی محاسبه شده و با هم مقایسه می شود. تمایل به گرفتن پاداش و جایزه یکی از دلایل مهم برای گزارش ندادن تصادفات می باشد و افراد برای استفاده از تخفیف اغلب از گزارش تصادفات با هزینه پائین خودداری می کنند، در این تحقیق ...
15 صفحه اولTransition Models for Analyzing Longitudinal Data with Bivariate Mixed Ordinal and Nominal Responses
In many longitudinal studies, nominal and ordinal mixed bivariate responses are measured. In these studies, the aim is to investigate the effects of explanatory variables on these time-related responses. A regression analysis for these types of data must allow for the correlation among responses during the time. To analyze such ordinal-nominal responses, using a proposed weighting approach, an ...
متن کاملGraphical Models for Uncertain Data
Graphical models are a popular and well-studied framework for compact representation of a joint probability distribution over a large number of interdependent variables, and for efficient reasoning about such a distribution. They have been proven useful in a wide range of domains from natural language processing to computer vision to bioinformatics. In this chapter, we present an approach to us...
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ژورنال
عنوان ژورنال: Journal of Computational and Graphical Statistics
سال: 2015
ISSN: 1061-8600,1537-2715
DOI: 10.1080/10618600.2014.889023