Results 11 to 20 of about 1,280,567 (124)
, 2014 Stable random variables are motivated by the central limit theorem for densities with (potentially) unbounded variance and can be thought of as natural generalizations of the Gaussian distribution to skewed and heavy-tailed phenomenon. In this paper, we introduce stable graphical (SG) models, a class of multivariate stable densities that can also be ...
Misra N, Kuruoglu E E
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Statistical Science, 2004 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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Context-specific independencies for ordinal variables in chain regression models [PDF]
, 2017 In this work we handle with categorical (ordinal) variables and we focus on the (in)dependence relationship under the marginal, conditional and context-specific perspective.
Cazzaro, Manuela, Nicolussi, Federica
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Active Learning for Undirected Graphical Model Selection [PDF]
, 2014 This paper studies graphical model selection, i.e., the problem of estimating a graph of statistical relationships among a collection of random variables.
Baraniuk, Richard G. +2 more
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Algebraic Aspects of Conditional Independence and Graphical Models
, 2017 This chapter of the forthcoming Handbook of Graphical Models contains an overview of basic theorems and techniques from algebraic geometry and how they can be applied to the study of conditional independence and graphical models.
Kahle, Thomas +2 more
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Loop Calculus for Non-Binary Alphabets using Concepts from Information Geometry [PDF]
, 2014 The Bethe approximation is a well-known approximation of the partition function used in statistical physics. Recently, an equality relating the partition function and its Bethe approximation was obtained for graphical models with binary variables by ...
Mori, Ryuhei
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Articulated Pose Estimation by a Graphical Model with Image Dependent Pairwise Relations [PDF]
, 2014 We present a method for estimating articulated human pose from a single static image based on a graphical model with novel pairwise relations that make adaptive use of local image measurements.
Chen, Xianjie, Yuille, Alan
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Conditional Functional Graphical Models
Journal of the American Statistical Association, 2021 Graphical modeling of multivariate functional data is becoming increasingly important in a wide variety of applications. The changes of graph structure can often be attributed to external variables, such as the diagnosis status or time, the latter of which gives rise to the problem of dynamic graphical modeling.
Kuang-Yao, Lee +4 more
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Binary Models for Marginal Independence
, 2007 Log-linear models are a classical tool for the analysis of contingency tables. In particular, the subclass of graphical log-linear models provides a general framework for modelling conditional independences.
Anderson T. W +34 more
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Probabilistic Graphical Models [PDF]
, 2014 This report presents probabilistic graphical models that are based on imprecise probabilities using a simplified language. In particular the discussion is focused on credal networks and discrete domains. It describes the building blocks of credal networks algorithms to perform inference and discusses on complexity results and related work.
Antonucci, Alessandro +2 more
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